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Open Access Article
1 - Measuring motivation and job satisfaction in industry and the role of government and university in their improvement
naser shams farnaz kazempourImproving staff motivation in any working area has direct effect on productivity improvement. To achieve this important goal, identification and measurement of factors in promoting motivation is highly important and can help managers in achieving the organization goals. MoreImproving staff motivation in any working area has direct effect on productivity improvement. To achieve this important goal, identification and measurement of factors in promoting motivation is highly important and can help managers in achieving the organization goals. Considering the importance of motivation and job satisfaction, this paper intends to design and develop the indicators to measure motivation and job satisfaction in a specific industry based on the Herzberg theory. By applying fuzzy method and calculating and analysing the indices, guidelines for staff improvement in the industry by Government and university will be provided. The results show that the application of designed indicators will enhance motivation and increase job satisfaction in the studied industry Manuscript profile -
Open Access Article
2 - Evaluation of Ecotourism in Boujagh National Park using multi-criteria analysis and GIS
Maryam Haghighi khomamiLandslide is a geological phenomenon which cause annual enormous losses of life and property in the country. Since the set of natural and human factors contributed to the damages caused by the landslide, this phenomenon is known as the limiting factor in land developmen MoreLandslide is a geological phenomenon which cause annual enormous losses of life and property in the country. Since the set of natural and human factors contributed to the damages caused by the landslide, this phenomenon is known as the limiting factor in land development policies. One of the most important solution to reduce the damages caused by landslides, is to avoide these areas. For this it is essential to provide high accuracy maps of landslide hazard zoning by an available and suitable method. Thus in this study GIS (Geographic Information System) was utilized to determine the high risk areas and evaluate the impact of various factors. At first the influenced factors were selected by field and other reserchers studies then the layers were prepared on GIS ( by the use of ArcGIS 10.2). These layers are lithology, slope, aspect, land use, road networks, distance to fault, elevation and drainage watershed in Emamzade Ebrahim watershed in west of Guilan province, Iran. In step 1, standardization of the layers was done using Fuzzy logic. Step 2, analyze hierarchi prossess (AHP) was used to pair-wise comparison of these factors and the weight of each factor, which represents the degree of their influence had been calculated and finally landslide hazard zonation map was prepared with different sensitivities. Slope by the weight of 0/308 and lithology 0/231 had highest impact and should be more emphasis and considere on basin development planning managers and policy makers. Also 39% of the basin area has low sensitivity and 2% has very high sensitivity to the risk of the occurrence of landslide hazard. Manuscript profile -
Open Access Article
3 - Survey management solutions of urban effete fabrics and exhibition optimal pattern in intervention (Case study: Quarter of Sartapole in Sanandaj city)
Hamed ghadermarzi Atefeh Ahmadi DehrashidAttention to urban old and effete fabrics as fabrics that have problem, not just in Iran but in the world has a long history. Organizing and improving this fabrics that more located in center and core of historical city, the best way to describe history and national ide MoreAttention to urban old and effete fabrics as fabrics that have problem, not just in Iran but in the world has a long history. Organizing and improving this fabrics that more located in center and core of historical city, the best way to describe history and national identity and is one of bases for realization ideals innate development. The GIS based on functions, applied algorithms and their ability can as efficient tool helped management of effete fabrics in order to overcome said concerns. Present research has be done based analytical-descriptive method and with emphasis on practical aspects and with use of data collected at database of geographic information systems relevant to Sanandaj municipal. Case study is Sartapole quarter in Sanandaj city, this region selected because including effete indicator factors. In order to obtain to each of optimal patterns of management effete fabrics in case study including improvements, renovations, reformation,… based key indicators in identify exhaustion type of urban effete fabrics created multiple data layers such as: prices maps of blocks, maps of old buildings, Access Map, map of the number of classes, slope map of streets, landuse map, area map of blocks in case study, covering maps of roads, map of type materials and ... Finally, with spatial analysis and using practical algorithm in GIS and and usage of Fuzzy Logic were identified priority areas for the development of effete fabric based proposed solutions improvements, renovations, reformation. Manuscript profile -
Open Access Article
4 - Urban Shelter Site selection with Passive Defense Approach
Nowadays “Passive Defense” is very important in urban management and Militarism, because we can reduce damages from enemies attack by complying with its rules. Making urban shelters is one of important actions to reduce human casualties. Making urban shelters have its r MoreNowadays “Passive Defense” is very important in urban management and Militarism, because we can reduce damages from enemies attack by complying with its rules. Making urban shelters is one of important actions to reduce human casualties. Making urban shelters have its rules. Finding the best place in city is one of these rules which should be complied. The shelter must be created in place that people can reach very fast in the crisis. In this paper urban shelter site-selecting implemented using multi criteria decision making algorithms with passive defense approaches. In the first step, Analytical Hierarchy Process (AHP) method is used in order to determine the weight of each criterion. Then, we use fuzzy logic functions to produce fuzzificated factor maps. Finally, we utilize TOPSIS algorithm to evaluate all the points of city and create assessment map. Zahedan (in the southeast in Iran) is chosen as case study. In this paper 39 layers (map) gathered and categorized into 15 factor. Most weight is dedicated to “Distance from important points” (23 %) and lowest weight is dedicated to “slope” (1 %). The results shows most areas in the east and the north and center of the city are not suitable places to build urban shelters since several inappropriate factors like “Distance to fault” , “Distance to Old buildings” , “Distance to dangerous area” , “Distance to rivers” , “Distance to under waters” and “Distance to high voltages power lines” are focused in these areas and intensify the effect of each other’s. And the west area in the city (and some small limited areas in northeast and southeast) is suitable for urban shelter. Manuscript profile -
Open Access Article
5 - Measure of Rural Developmen with emphasis on FUZZY Logic Case Study: Rural district of the Boushehr Province
Alireza EstelajiThis study was conducted to assess rural development in the rural districts of the province, applied research is a method of utilizing Association with Fuzzy Multi Attribute Decision Making. Research Methodology descriptive and analytical and the data gathering method d MoreThis study was conducted to assess rural development in the rural districts of the province, applied research is a method of utilizing Association with Fuzzy Multi Attribute Decision Making. Research Methodology descriptive and analytical and the data gathering method documents and collect the purposes of the research data and information on population and housing census statistics tables and forms common(especially Statistical Yearbook 2011 Bushehr province). The study population was the whole Rural district of Bushehr Province, To assess the level of their development, with 84 components in the form of development indicators from official statistics Bushehr Province and examined using the technique of Fuzzy VIKOR. The findings of research analysis outlining a space for unequal region and unfair allocation of resources and rural services in rural areas of Bushehr Province, Showed that a total of indicators, Rural districts suburbs (county of Bushehr), Assaluyeh, Zyrrah, Poshtkuh, Has the highest rate development and rural districts Anarstan, Bordekhoon, Lyravy middle and Abdan have had the lowest rates of rural development. In the end to eliminate regional imbalances in Bushehr Province and social justice in rural areas of Counties of Bushehr Province, Was presented applied suggestions and determined development priorities to segregation rural district. Manuscript profile -
Open Access Article
6 - Robustness of fuzzy c-mean method for delineation of hydrochemical facies distribution of groundwater in Varamin Plain
Mohammad Nakhaei Mehdi Talkhabi Meysam VadiatiIn this paper, classification of a large hydrochemical data set from Varamin plain is done by using fuzzy c-means (FCM) and hierarchical cluster analysis (HCA) clustering techniques. Then its application to hydrochemical facies delineation is discussed. Groundwater samp MoreIn this paper, classification of a large hydrochemical data set from Varamin plain is done by using fuzzy c-means (FCM) and hierarchical cluster analysis (HCA) clustering techniques. Then its application to hydrochemical facies delineation is discussed. Groundwater samples were grouped into three classes according to the optimum number of the classes and fuzziness exponent by using the fuzzy c-mean. The data set includes 90 deep and moderate deep well samples from groundwater data set and 9 hydrochemical variables were used. Results from both FCM and HCA clustering produced cluster centers that can be used to identify the physical and chemical processes creating the variations in the water chemistries. The optimum cluster in FCM method determined by optimization function, but in HCA method by trial and error. The FCM method is potentially useful in establishing hydrochemical facies distribution and may provide a better tool than HCA for clustering large data sets when overlapping or continuous clusters exist. Plotting the cluster membership value contours on a map demonstrated the existence of three spatially continuous, well-defined clusters of groundwater samples. The results showed that the FCM method is more sound for investigating threshold data rather than HCA method (that represents sharp and abrupt variations). Manuscript profile -
Open Access Article
7 - An Introduction to the functionalist poetics
علیرضا خانجان Zahra میرزاEmphasizing the necessity for changing the logical approach to the definition of the nature of poetry from Aristotle's logical dichotomy to the Fuzzy relativist logic, the present paper will first deal with three different viewpoints in the field of poetics. Attempts wi MoreEmphasizing the necessity for changing the logical approach to the definition of the nature of poetry from Aristotle's logical dichotomy to the Fuzzy relativist logic, the present paper will first deal with three different viewpoints in the field of poetics. Attempts will also be made to employ the approach which does not take into consideration literature and poetry in particular, as being different from other types of communicative acts. It will thus be possible to analyze poetry within the framework of a general theory. Based on Haliday's functional systemic theory (1985, 1994) and taking into consideration the pattern proposed by Mohajer and Nabavi (1376), The present paper attempts to provide a functionalist analysis of the discourse of the poetry, as well as linguistic and paralinguistic parameters, based on Manuscript profile -
Open Access Article
8 - Using the Fuzzy cognitive maps in the field of regional studies
Ahmad دوست محمديFew decades have passed since the birth of regional studies as sub-field of political science and international relations, but the dominance of international relations approaches on scientific literature and research method of this scientific field in inevitable. The ev MoreFew decades have passed since the birth of regional studies as sub-field of political science and international relations, but the dominance of international relations approaches on scientific literature and research method of this scientific field in inevitable. The evolution procedure of regional studies field showed that doing research in this field may require research in history, political science, sociology, economics, geopolitics and many of other scientific tendencies that can be referred based on the case. This subject shows the difficulty of research in regional studies field. This paper is determined to introduce the Fuzzy cognitive maps as a method with capability of application in regional studies field, so this method can meet the researcher’s needs in the field of study of subjects without any background before, or entitled as a vague phenomenon. The advantage of this method firstly is the ability of recognizing the elements of vague phenomenon and helping to understanding the relations among them and secondly the derivation of the agreed point from various views about that phenomenon Manuscript profile -
Open Access Article
9 - Trust evaluation in unsupervised network: A fuzzy logic approach
Golnar Assadat Afzali Monireh HosseiniBecause of the possibility of anonymity and impersonation in social networks, trust plays an important role in these networks. Pear to pear networks, by eliminating the supervisor roles, besides its benefit in decreasing management costs, have problems in trust and secu MoreBecause of the possibility of anonymity and impersonation in social networks, trust plays an important role in these networks. Pear to pear networks, by eliminating the supervisor roles, besides its benefit in decreasing management costs, have problems in trust and security of users. In this research, by using social networks as supervised networks, trust level of users is evaluated and by identifying these users in unsupervised networks, appropriate trust level is assigned to them. Manuscript profile -
Open Access Article
10 - Selecting Enterprise Resource Planning System Using Fuzzy Analytic Hierarchy Process Approach
hojatallah hamidiTo select an enterprise resource planning (ERP) system is time consuming due to the resource constraints, the software complexity, and the different of alternatives. A comprehensively systematic selection policy for ERP system is very important to the success of ERP pro MoreTo select an enterprise resource planning (ERP) system is time consuming due to the resource constraints, the software complexity, and the different of alternatives. A comprehensively systematic selection policy for ERP system is very important to the success of ERP project. In this paper, we propose a fuzzy analytic hierarchy process (FAHP) method to evaluate the alternatives of ERP system. The selection criteria of ERP system are numerous and fuzzy, so how to select an adequate ERP system is crucial in the early phase of an ERP project. The framework decomposes ERP system selection into four main factors. The goal of this paper is to select the best alternative that meets the requirements with respect to product factors, system factors, management factors and vendor factors. The sub-attributes (sub-factors) related to ERP selection have been classified into thirteen main categories of Functionality, Reliability¬, Usability¬, Efficiency¬, Maintainability¬, Portability¬, Cost, Implementation time, User friendliness¬, Flexibility¬, Vendor Reputation¬, Consultancy Services, and R&D Capability¬ and arranged in a hierarchy structure. These criteria and factors are weighted and prioritized and finally a framework is provided for ERP selection with the fuzzy AHP method. Also, a real case study from Iran (PARDIS-LO Company) is also presented to demonstrate efficiency of this method in practice. Manuscript profile -
Open Access Article
11 - Short Time Price Forecasting for Electricity Market Based on Hybrid Fuzzy Wavelet Transform and Bacteria Foraging Algorithm
keyvan Borna Sepideh PalizdarPredicting the price of electricity is very important because electricity can not be stored. To this end, parallel methods and adaptive regression have been used in the past. But because dependence on the ambient temperature, there was no good result. In this study, lin MorePredicting the price of electricity is very important because electricity can not be stored. To this end, parallel methods and adaptive regression have been used in the past. But because dependence on the ambient temperature, there was no good result. In this study, linear prediction methods and neural networks and fuzzy logic have been studied and emulated. An optimized fuzzy-wavelet prediction method is proposed to predict the price of electricity. In this method, in order to have a better prediction, the membership functions of the fuzzy regression along with the type of the wavelet transform filter have been optimized using the E.Coli Bacterial Foraging Optimization Algorithm. Then, to better compare this optimal method with other prediction methods including conventional linear prediction and neural network methods, they were analyzed with the same electricity price data. In fact, our fuzzy-wavelet method has a more desirable solution than previous methods. More precisely by choosing a suitable filter and a multiresolution processing method, the maximum error has improved by 13.6%, and the mean squared error has improved about 17.9%. In comparison with the fuzzy prediction method, our proposed method has a higher computational volume due to the use of wavelet transform as well as double use of fuzzy prediction. Due to the large number of layers and neurons used in it, the neural network method has a much higher computational volume than our fuzzy-wavelet method. Manuscript profile -
Open Access Article
12 - An Improved Sentiment Analysis Algorithm based on Appraisal Theory and Fuzzy Logic
Azadeh Roustakiani Neda Abdolvand Saeideh Rajaei HarandiMillions of comments and opinions are posted daily on websites such as Twitter or Facebook. Users share their opinions on various topics. People need to know the opinions of other people in order to purchase consciously. Businesses also need customers’ opinions and big MoreMillions of comments and opinions are posted daily on websites such as Twitter or Facebook. Users share their opinions on various topics. People need to know the opinions of other people in order to purchase consciously. Businesses also need customers’ opinions and big data analysis to continue serving customer-friendly services, manage customer complaints and suggestions, increase financial benefits, evaluate products, as well as for marketing and business development. With the development of social media, the importance of sentiment analysis has increased, and sentiment analysis has become a very popular topic among computer scientists and researchers, because it has many usages in market and customer feedback analysis. Most sentiment analysis methods suffice to split comments into three negative, positive and neutral categories. But Appraisal Theory considers other characteristics of opinion such as attitude, graduation and orientation which results in more precise analysis. Therefore, this research has proposed an algorithm that increases the accuracy of the sentiment analysis algorithms by combining appraisal theory and fuzzy logic. This algorithm was tested on Stanford data (25,000 comments on the film) and compared with a reliable dictionary. Finally, the algorithm reached the accuracy of 95%. The results of this research can help to manage customer complaints and suggestions, marketing and business development, and product testing. Manuscript profile -
Open Access Article
13 - Selecting Enterprise Resource Planning System Using of Fuzzy Analytic Hierarchy Process Approach
Hojatollah HamidiSelecting an enterprise resource planning (ERP) system is time consuming due to the resource constraints, the software complexity, and the different of alternatives. A comprehensively systematic selection policy for ERP system is very important to the success of ERP pro MoreSelecting an enterprise resource planning (ERP) system is time consuming due to the resource constraints, the software complexity, and the different of alternatives. A comprehensively systematic selection policy for ERP system is very important to the success of ERP project. In this paper, we propose a fuzzy analytic hierarchy process (FAHP) method to evaluate the alternatives of ERP system. The selection criteria of ERP system are numerous and fuzzy, so how to select an adequate ERP system is crucial in the early phase of an ERP project. The framework decomposes ERP system selection into four main factors. The goal of this paper is to select the best alternative that meets the requirements with respect to “product factors”, “system factors”, “management factors” and “vendor factors”. The sub-attributes (sub-factors) related to ERP selection have been classified into thirteen main categories. These criteria and factors are weighed and prioritized and finally a framework is provided for ERP selection with the fuzzy AHP method. Also, a real case study from PARDIS-LO Company is presented. Manuscript profile -
Open Access Article
14 - A Fuzzy Decision Support System For Scoring Suggestions (Case Study: Fars Regional Electric Company)
Mohammad salehiFars Regional Electric Company is one of 16 regional energy companies in the country, which is responsible for managing power transmission in the provinces of Fars and Bushehr. The company uses a variety of management systems to promote its offering of services, which i MoreFars Regional Electric Company is one of 16 regional energy companies in the country, which is responsible for managing power transmission in the provinces of Fars and Bushehr. The company uses a variety of management systems to promote its offering of services, which is one of these systems Suggestion System. In accordance with the executive procedure of the admission, examination and implementation system of the Suggestion System, each stage of acceptance and implementation of the Suggestion is also intended to reward the position of thought. The reward of each offer is proportional to the score that it receives after approval by its specialized committee. In order to standardize the scoring for each suggestion, indicators and criteria are also included in the company's method of implementation, which is categorized in three areas of technical, non-technical and financial criteria. Given the lack of tools for calculating indices, each index must first be described and then converted into a number as a score. In this paper, while introducing the Fars Regional Electric Company, the position of the Suggestion System and the current scoring method for any Suggestion in this company, using a fuzzy inference, Using the various criteria of each Suggestion, system suggest a total score for each suggestion is close to expert opinion. The results of using this system indicate that the decision quality in the allocation of score to each Suggestion is increased and the rules in the system fuzzy inference engine provide a better score. Manuscript profile -
Open Access Article
15 - Designing of a fuzzy expert of system in order of measuring of job satisfaction (By emphasising of Robbins four factors)
نیما قاسمنژاد مقدم Mohammad نریمانی رادDue to the importance of job satisfaction and its role in the success of the organization, this issue has long been of interest to scholars of management. However, this study tried to measure job satisfaction reports like this one model with fuzzy mathematics and the de MoreDue to the importance of job satisfaction and its role in the success of the organization, this issue has long been of interest to scholars of management. However, this study tried to measure job satisfaction reports like this one model with fuzzy mathematics and the determinants of job satisfaction Robbins offer. The fuzzy expert system designed in this study, four factors Robbins inputs are as follows: 1- Demanding and challenging work that will rival, 2- the same rights and benefits, 3- good working conditions, 4- good friends and colleagues. The purpose of this research is applied, but the present study is based on work done. Development experts and rules used to form the base of our knowledge, and in the end the system output and the model that job satisfaction is achieved This is done whit using MATLAB software. Finally, the model presented in the state-owned companies with a population of 198 persons and 50 persons out of which the results are as follows. Job satisfaction of the employees with 0/42 medium and 0/58 high (in the range [1 0]) and the phase can be expressed somewhat higher levels of satisfaction Manuscript profile -
Open Access Article
16 - Topology Control in Wireless Sensor Networks Using Two-Level Fuzzy Logic
A. Abdi Seyedkolaei A. ZakerolhosseiniWireless sensor networks are a new generation of networks that from sensors uses to get information about itself environment and communication this sensors is as wireless. One of the issues that is very important in wireless sensor networks is Discussion reducing energy MoreWireless sensor networks are a new generation of networks that from sensors uses to get information about itself environment and communication this sensors is as wireless. One of the issues that is very important in wireless sensor networks is Discussion reducing energy consumption and increasing network lifetime. Topology control is one of the methods to reduce energy consumption and increase the lifetime of the network. Since different methods of topology control, to reduce energy consumption and enhance the network lifetime is proposed that including them is the clustering and one of the most famous clustering methods is LEACH. In this paper, we try to present a new clustering method that is superior compared to leach and other improved methods after the LEACH. we use in our clustering method from two-level fuzzy logic that be causing reduce energy consumption and increase the network lifetime compared to other methods and to prove the superiority of our method compared with other methods, we present a comparison using MATLAB software. Manuscript profile -
Open Access Article
17 - A Proposed Method of Decentralized Load Balancing Algorithm in Heterogeneous Cloud Environments
S. Hourali S. Jamali F. HouraliOne of the key strategies to improve the efficiency is load balancing. Choosing the appropriate VM to do any task, is function of various parameters such as the amount of required resources like CPU, memory, the size of VM resource, cost and maturity of VMs. In this pap MoreOne of the key strategies to improve the efficiency is load balancing. Choosing the appropriate VM to do any task, is function of various parameters such as the amount of required resources like CPU, memory, the size of VM resource, cost and maturity of VMs. In this paper, by considering each of these criteria and design objectives such as load balancing, reducing the rate of create new VM, and VM migration, we modeling the problem in terms of effective parameters in performance. Then, we solving this model by using the PROMETHEE method, which is one of the most widely used method for MADM problems. In this method, selecting the best VM occurs based on the value assigned to each of criteria which is calculated based on fuzzy logic. To evaluate the performance of this approach, the necessary simulations have been carried out on CloudSim simulator and shown that the proposed method has better performance compared to FIFO, DLB and WRR methods on average in terms of response time, rate of success tasks, load variation and rate of VM migration. Manuscript profile -
Open Access Article
18 - Torque Ripple Reduction Technique in SRM for Low Speed Range by Employing Fuzzy Logic for Dynamic Controlling of TSF
H. Moradi Cheshmeh-Beigi E. NouriIn this paper, in order to reduce torque ripple for low speed range in non-commutation region, instead of exciting by a DC current, a adjustable current according to rotor position is injected. Also, to reduce torque ripple in commutation region the modified torque shar MoreIn this paper, in order to reduce torque ripple for low speed range in non-commutation region, instead of exciting by a DC current, a adjustable current according to rotor position is injected. Also, to reduce torque ripple in commutation region the modified torque sharing function (TSF) method has been used. In the proposed method, TSF is modified by a feedback from the motor speed and applying it to a fuzzy controller according to speed value. In the proposed method, motor speed, torque error, and torque error derivative are used as fuzzy controller inputs, which Turn-On and overlap angles between the phases are changed as a function of motor speed. Also reference torque of adjacent phase is modified as a function of torque error and torque error derivative. In this method, TSF is modified dynamically and momentary. The exact simulation based on Matlab/Simulink for a 3-phase 6/4 SRM are carried out to verify the effectiveness of the proposed novel method for 0 to 1500rpm speed range. Manuscript profile -
Open Access Article
19 - Improving Energy Consumption in Wireless Sensor Networks Using Shuffled Frog Leaping Algorithm and Fuzzy Logic
Shayesteh TabatabaeyWireless sensor networks consist of thousands of sensor nodes with limited energy. Energy efficiency is a fundamental challenge issue for wireless sensor networks. Clustering sensor nodes in separate categories and exchanging information through clusters is one of the w MoreWireless sensor networks consist of thousands of sensor nodes with limited energy. Energy efficiency is a fundamental challenge issue for wireless sensor networks. Clustering sensor nodes in separate categories and exchanging information through clusters is one of the ways to improve energy consumption. This paper presents a new cluster-based routing protocol called SFLCFBA. The proposed protocol biologically uses fast and effective search features inspired by the Shuffled Frog Leaping algorithm, which acts based on the Frog food behavior to cluster sensor nodes. The proposed protocol also uses fuzzy logic to calculate the node fitness, based on the two criteria of distance to the sink and the remaining energy of the sensor node or power of battery level. IEEE 802.15.4 Protocol and NODIC Protocol with the proposed methodology and OPNET Simulator were simulation and the results in terms of energy consumption, end to end delay, signal to noise ratio, the success property data and throughput were compared with each other. The results of the simulation showed that the proposed method outperforms the IEEE 802.15.4 Protocol and NODIC Protocol due to the use of the criteria listed. Manuscript profile -
Open Access Article
20 - Sonic wave velocity estimation using intelligent system and multi resolution graph base clustering: A case study from one of Iranian south field
مرتضی نوری مینا کریمی خالدیAbstract Compressional and shear velocity are two fundamental parameters, which have many applications in petrophysical, geophysical, and geomechanical operations. These two parameters can be obtained using Dipole Sonic Imaging tool (DSI), but unfortunately this tool MoreAbstract Compressional and shear velocity are two fundamental parameters, which have many applications in petrophysical, geophysical, and geomechanical operations. These two parameters can be obtained using Dipole Sonic Imaging tool (DSI), but unfortunately this tool is run just in few wells of a field. Therefore it is important to predict compressional and shear velocity indirectly from the other conventional well logs that have good correlation with these parameters in wells without these logs. Classical methods to predict the mentioned parameters are utilizing correlations and regression analysis. However, the best tool is intelligent systems including Artificial Neural Network, Fuzzy Logic, Adaptive Neuro Fuzzy Inference System, and Multi resolution graph base clustering for performing such tasks. In this paper 1321 data points from Kangan and Dalan formations which have compressional and shear velocity are used. These data are divided into two groups: 995 and 326 data points were used for construction of intelligent systems and model testing, respectively. The results showed that despite differences in concept, all of the intelligent techniques were successful for estimation of compressional and shear velocities. The Multi resolution graph base clustering. The method had the best performance among the others due to precise clustering the data points. Using this method, the compressional and shear velocity were correlated with correlation factor of 0.9505 and 0.9407, respectively. The developed model does not incorporate depth or lithological data as a part of the inputs to the network. This means that utilized methodology is applicable to any field. Manuscript profile -
Open Access Article
21 - Secondary porosity index effect on improving approaches permeability estimation from petrophysical logs utilizing artificial intelligent
سجاد کاظم شیرودی مرتضی خانیانAbstract Permeability estimation using core data and petrophysical logs is a conventional approach which bears high uncertainty especially in carbonate reservoir characterization. In essence, the problem consists not only due to coring expenses rate, but also ambig MoreAbstract Permeability estimation using core data and petrophysical logs is a conventional approach which bears high uncertainty especially in carbonate reservoir characterization. In essence, the problem consists not only due to coring expenses rate, but also ambiguity in finding proper explicit log correlation to core data. Moreover, utilizing the correlated formula in wells without core data can pose errors. In this research the permeability was estimated from conventional petrophysical logs and it was calibrated with permeability obtained from core lab experiments. Applied intelligent systems are the matter of this research for permeability values estimation. To construct permeability estimation model, three techniques have been applied including conventional ANN, the Gonzalez, and Hambalek fuzzy logic techniques. These methods were applied in two wells drilled in Surmeh reservoir in Balal field to establish ANN and to derive a relation between core and well. The models were applied in control well in order to check the reliability and capability of models to estimate representative permeability value. The result showed however three foresaid techniques for permeability estimation were successful the secondary porosity distributed the correlation due to its reduction effect on permeability so that they were not interconnected. Therefore this effect was omitted using secondary porosity index in which the permeability estimation were improved and were estimated close to core value. Manuscript profile -
Open Access Article
22 - Comparisons of intelligent systems and empirical equation results in permeability prediction: a case study in one of the southern Iranian carbonate reservoirs
الهام عزیز ابادی فراهانی مجتبی رجبیPrediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The mo MorePrediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The most reliable data of permeability are taken from laboratory analysis of cores. Since coring is a costly and time consuming operation, researchers have tried to predict this parameter from other methods. Empirical equation is one of these methods, but results of these equations are not satisfied for all lithology and reservoirs. So far, several studies have been carried out for the estimation of reservoir parameters using intelligent systems. These studies indicate the successful role of these methods such as fuzzy logic, neuro-fuzzy and genetic algorithms for reservoir characterization. In this study, we try to compare results of these two methods (empirical equations and intelligent systems) for permeability prediction in a carbonate reservoir. For this purpose, petrophysical and core data of four well in a carbonate reservoir in the Southern Iran were used. At first, using empirical equations permeability was calculated for the test well; then using data of three wells, intelligent models were constructed. A forth well (test well) from the field was used to evaluate the models. The results show that fuzzy logic result (with R2= 0.88) is the best method for prediction of permeability in the studied reservoir. Also between empirical equations, result of Wyllie-Rose equation is better than others. Finally we offer the constructed fuzzy model (as a best predictor) for permeability prediction in the studied reservoir. Manuscript profile -
Open Access Article
23 - Comparisons of intelligent systems and empirical equation results in permeability prediction: a case study in one of the southern Iranian carbonate reservoirs
Amir Mola jan Hoseyn MemarianPrediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The mo MorePrediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The most reliable data of permeability are taken from laboratory analysis of cores. Since coring is a costly and time consuming operation, researchers have tried to predict this parameter from other methods. Empirical equation is one of these methods, but results of these equations are not satisfied for all lithology and reservoirs. So far, several studies have been carried out for the estimation of reservoir parameters using intelligent systems. These studies indicate the successful role of these methods such as fuzzy logic, neuro-fuzzy and genetic algorithms for reservoir characterization. In this study, we try to compare results of these two methods (empirical equations and intelligent systems) for permeability prediction in a carbonate reservoir. For this purpose, petrophysical and core data of four well in a carbonate reservoir in the Southern Iran were used. At first, using empirical equations permeability was calculated for the test well; then using data of three wells, intelligent models were constructed. A forth well (test well) from the field was used to evaluate the models. The results show that fuzzy logic result (with R2= 0.88) is the best method for prediction of permeability in the studied reservoir. Also between empirical equations, result of Wyllie-Rose equation is better than others. Finally we offer the constructed fuzzy model (as a best predictor) for permeability prediction in the studied reservoir. Manuscript profile -
Open Access Article
24 - Comparisons of intelligent systems and empirical equation results in permeability prediction: a case study in one of the southern Iranian carbonate reservoirs
الهام عزیز ابادی فراهانی Kazemzadeh Ezatolah ELham Aziz Abadi FarahaniPrediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The mo MorePrediction of permeability that is one of the most important parameters in oil and gas reservoirs is probably the most challenging issue geologists, petrophysicists, and reservoir engineers have to deal with. This parameter control fluid flow in production stage. The most reliable data of permeability are taken from laboratory analysis of cores. Since coring is a costly and time consuming operation, researchers have tried to predict this parameter from other methods. Empirical equation is one of these methods, but results of these equations are not satisfied for all lithology and reservoirs. So far, several studies have been carried out for the estimation of reservoir parameters using intelligent systems. These studies indicate the successful role of these methods such as fuzzy logic, neuro-fuzzy and genetic algorithms for reservoir characterization. In this study, we try to compare results of these two methods (empirical equations and intelligent systems) for permeability prediction in a carbonate reservoir. For this purpose, petrophysical and core data of four well in a carbonate reservoir in the Southern Iran were used. At first, using empirical equations permeability was calculated for the test well; then using data of three wells, intelligent models were constructed. A forth well (test well) from the field was used to evaluate the models. The results show that fuzzy logic result (with R2= 0.88) is the best method for prediction of permeability in the studied reservoir. Also between empirical equations, result of Wyllie-Rose equation is better than others. Finally we offer the constructed fuzzy model (as a best predictor) for permeability prediction in the studied reservoir. Manuscript profile -
Open Access Article
25 - Literature beyond the world of zero and one A review of the literature from the perspective of Fuzzy logic
Zohre Kafi Amir Hossein MadaniTo know this subject that the literature has Fuzzy nature not Aristotelian, can help audiences and analyzers to have a more open view when dealing with texts. Literature, like any other science and art, has the ability to be evaluated, and according to the logic that go MoreTo know this subject that the literature has Fuzzy nature not Aristotelian, can help audiences and analyzers to have a more open view when dealing with texts. Literature, like any other science and art, has the ability to be evaluated, and according to the logic that governs it, one can judge whether any text is literary or not. For this reason, concepts such as literature, mystical literature, Aristotelian logic and fuzzy logic have been defined in this research, and then the relationship between literature and Aristotelian and fuzzy logic has been investigated. In this analysis, four main literary elements of a text (emotion, imagination, polysemy and form) have been analyzed in a fuzzy diagram along with an example of Persian literature. In all four cases, the result shows that a text can be placed in the circle of literature by having a degree of each of these four elements, and its literary ratio is determined according to the degree of these elements. In all four cases, the result shows that a text can be placed in the circle of literature by having a degree of each of these four elements, and its literary ratio is determined according to the degree of these elements. Manuscript profile -
Open Access Article
26 - Integration of Geological, Geochemical, Alteration and Remote Sensing Data to Introduce the Mineralization Potentials in the Sarbisheh area, South Khorasan
S. Modabberi M. Azarifar S. Shamsoddin Ahmadi D. RaeisiSarbisheh area is located in the west of Sarbisheh and southeast of Birjand, South Khorasan province. This area is located in the Birjand ophiolite melange zone and is a part of the northern part of the Iranshahr-Birjand metallogenic belt. The lithological units in this MoreSarbisheh area is located in the west of Sarbisheh and southeast of Birjand, South Khorasan province. This area is located in the Birjand ophiolite melange zone and is a part of the northern part of the Iranshahr-Birjand metallogenic belt. The lithological units in this area include ophiolite melange, flysch facies sediments, pyroclastic rocks and Quaternary sediments. Geochemical studies of stream sediments and identification of geochemical indicators of mineral resources in the region were performed using the results of geochemical analysis and principal component analysis. Remote sensing studies were performed on the ASTER and Landsat satellite images using color composite, selective principal component analysis (crusta) on the Landsat 8 satellite imagery to identify the alteration zones. The lineaments of the region were drawn using the high-pass filter method of the ASTER satellite image and the Google image. Finally, by creating layers of geological units, geochemical data, alteration and lineament and integrating them with fuzzy method, areas with potential mineralization of nickel, chromium, cobalt, copper, lead, zinc and magnesite were identified. Manuscript profile
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