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Considering the Stratification in Multi-criteria Decision Making to Make a Stable Decision under Uncertainty

Sharifi, Shayan | 2020

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54047 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Rafiee, Majid
  7. Abstract:
  8. In today's world, decision-making has become one of the main problems and challenges for managers, despite the conflicting goals and the different scenarios. On the other hand, most existing decision-making methods are not applicable to all issues in different decision-making environments. Therefore, in this study, by presenting a new algorithm, these concerns have been reduced and a new method has been proposed using the concept of stratification recently introduced by Lotfi Zadeh. In the present study, a single system multi stratification and multi-system multi stratification are presented, which provide managers with an easier understanding and analysis of each system so that they can make decisions in any system with any number of goals in any decision environment. The algorithms in the two case studies have been investigated and their findings analyzed. In the first case study, after solving and stratifying the problem, the output of the method was compared with other methods available in decision making. In the second case study, four important and widely used areas of the stock market have been examined and stratified using the existing algorithm. Finally, it is shown that the proposed method, in addition to the ability to make decisions in all real decision-making issues in the real world, gives the decision maker the ability to make strategic and stable decisions. Finally, according to the available comparisons, it has been shown that the proposed algorithm has less computational volume and more integration than other available methods
  9. Keywords:
  10. Stratification ; Multicriteria Decision Making ; Stock Market ; Fuzzy Uncertainty ; Multi System Multi Stratification ; Single System Multi Stratification ; Stable Decision Making

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