List of Articles سیستم پشتیبانی تصمیم

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  1 - Investigate the role of Internet objects in decision support and supply chain systems
  fatemeh ranjbar parizi
  The purpose of this research is to develop a framework for understanding the convergence between the Internet of objects and the future of decision support systems and supply chain. Research results have shown that when large data are available, it is necessary to use m More

  The purpose of this research is to develop a framework for understanding the convergence between the Internet of objects and the future of decision support systems and supply chain. Research results have shown that when large data are available, it is necessary to use mathematical algorithms and complex analytical techniques. The Internet of objects improves the intelligence of business intelligence with the accumulation of data and the extraction of information. This improvement is due to the use of information technology to conclude and provide solutions based on past experiences. Manuscript profile
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  2 - Provide a new architecture for the decision support system to manage stock trading based on a combination of financial indicators
  Masoud Mansoury bijan mansouri S. Alireza hashemi G.
  Financial indicators are often used to analyze the market and predict the future of stocks. But because of the complexity of the stock market, what index to use and how reliable the output of the index used is has always been an issue. In this paper, a hybrid approach i More

  Financial indicators are often used to analyze the market and predict the future of stocks. But because of the complexity of the stock market, what index to use and how reliable the output of the index used is has always been an issue. In this paper, a hybrid approach in the form of a decision support system is used to offer the best stocks to buy or sell. The best stocks are selected from a set of stocks using a set of financial indicators. Each of these indicators acts as a model and shows its status in the future, given the stock situation in the past. Therefore, using a combination of indicators allows us to make decisions with more certainty. The efficiency of this system has been evaluated on the Iranian stock market data collection collected from 2001 to 2011. The results show that the indicators used and the combined use of them have led to the decision support system to produce proposals with high accuracy Manuscript profile
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  3 - A Decision Support System based on Rough sets for Enterprise Planning under uncertainty
  سید امیرهادی مینوفام Hassan Rashidi
  Increasing rate of novice technology in global marketing arises some challenges in the economic enterprise planning. One of the appropriate approaches to resolve these challenges is using rough set theory along with decision making. In this paper, a decision support sys More

  Increasing rate of novice technology in global marketing arises some challenges in the economic enterprise planning. One of the appropriate approaches to resolve these challenges is using rough set theory along with decision making. In this paper, a decision support system with an algorithm based on rough set theory is provided. The proposed algorithm is implemented for a product line in one of the organizations under supervision of mining, industry and trade ministry. The variable effects on the enterpise aims are evaluated by analysing the strength and support criteria of rough sets. The rules are classeified as three different classes and 3 out of 12 have high reasonable averagewhie the last 3 have a relatively high violation probability. The other rules have heterogenious distribution and are not certain. The advantages of the proposed system are avoidance of enterprse capital wasting, prevention of errors due to data uncertainty, and high precision of decitions. The decision makers in the enterprise validated the increasment of simplicity and speeds of vital decision making by using the proposed system. Manuscript profile
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  4 - decision support system design by using data mining tools (CASE STUDY Cultural Assistance of University of Science and Technology)
  Rouzbeh Ghousi emad chizari hani vahdani
  decision-making,is the most important duty of managers. In the new era , decision-making process has many difficulties and delicacies; so that decision-making without the use of new technologies and information analysis , the objectives will not be achieved as desired. More

  decision-making,is the most important duty of managers. In the new era , decision-making process has many difficulties and delicacies; so that decision-making without the use of new technologies and information analysis , the objectives will not be achieved as desired. Efficient management in addition to knowledge & experience management, needs to know how to use information systems. decision support system(DSS) is one of these systems that support decision-making process for managers. In this paper , at first we review the literature of decision support systems; then data mining as a tool to extract information and knowledge from organizational raw data is introduced. This extracted knowledge, may contain concepts and informations that are neglected in organization up to now, so this knowledge can help managers in Decision-making process. Eventually, The findings of this study has been used to help managers and vicars in their decisions at Iran University of Science and Technology(IUST). Manuscript profile