fuzzy logic

Open Access Article

1 - Measuring motivation and job satisfaction in industry and the role of government and university in their improvement
naser shams farnaz kazempour

Improving 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. More

Improving 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 khomami

10.29252/.1.1.7

Landslide 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 More

Landslide 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 Dehrashid

Attention 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 More

Attention 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 More

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 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 Estelaji

This 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 More

This 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 Vadiati

In 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 More

In 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 میرزا

Emphasizing 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 More

Emphasizing 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 محمدي

Few 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 More

Few 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 - 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 راد

Due 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 More

Due 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

10 - Improving Energy Consumption in Wireless Sensor Networks Using Shuffled Frog Leaping Algorithm and Fuzzy Logic
Shayesteh Tabatabaey

Wireless 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 More

Wireless 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

11 - 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 خالدی

Abstract 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 More

Abstract 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

12 - Secondary porosity index effect on improving approaches permeability estimation from petrophysical logs utilizing artificial intelligent
سجاد کاظم شیرودی مرتضی خانیان

Abstract 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 More

Abstract 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

13 - 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 رجبی

Prediction 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 More

Prediction 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

14 - 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 Memarian

Prediction 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 More

Prediction 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

15 - 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 Farahani

Prediction 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 More

Prediction 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

16 - 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. Raeisi

Sarbisheh 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 More

Sarbisheh 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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