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Multi-Criteria Decision Making (MCDM) Using Matlab and Excel

سرفصل های دوره

Learn how to implement different approaches using Microsoft Excel and Matlab language programming to solve real-world M


1. Background of MCDMs
  • 1. Background of MCDMs1

  • 2. Simple Additive Weightage (SAW)
  • 1. An Introduction to SAW
  • 2. Example 1
  • 3. Example 2
  • 4. Example 3

  • 3. Analytic Hierarchy Process (AHP)
  • 1. An Introduction to AHP
  • 2. Example 1
  • 3. A framework for AHP
  • 4. Coding AHP
  • 5. Example 02
  • 6. Example 03

  • 4. Analytic Network Process (ANP)
  • 1. An Introduction to ANP
  • 2. Using Supermatrix in AHP
  • 3. Using Supermatrix in AHP-Example02
  • 4. ANP-Example01
  • 5. ANP-Example02

  • 5. Technique for Order Preference and Similarity to Ideal Solution (TOPSIS)
  • 1. An Introduction to TOPSIS
  • 2. Implementation of TOPSIS in Excel
  • 3. Implementation of TOPSIS in Matlab

  • 6. Elimination Et Choice Translating Reality (ELECTRE)
  • 1. An Intropduction to ELECTRE
  • 2. Implementation of ELECTRE in Excel
  • 3. Implementation of ELECTRE in Matlab

  • 7. Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE)
  • 1. An Intropduction to PROMETHEE
  • 2. Implementation of PROMETHEE in Excel
  • 3. Implementation of PROMETHEE in Matlab

  • 8. VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)
  • 1. An Intropduction to VIKOR
  • 2. Implementation of VIKOR in Excel
  • 3. Implementation of VIKOR in Matlab

  • 9. Decision-Making Trial and Evaluation Laboratory (DEMATEL)
  • 1. An Intropduction to DEMATEL
  • 2. Implementation of DEMATEL in Excel
  • 3. Implementation of DEMATEL in Matlab

  • 10. Grey Relational Analysis (GRA)
  • 1. An Intropduction to GRA
  • 2. Implementation of GRA in Excel
  • 3. Implementation of GRA in Matlab

  • 11. Multi-objective Optimization on the Basis of Ratio Analysis Method (MOORA)
  • 1. Introduction to MOORA
  • 2. Implementation of MOORA in Excel
  • 3. Implementation of MOORA in Matlab

  • 12. Complex Proportion Assessment Method (COPRAS)
  • 1. Introduction to COPRAS
  • 2. Implementation of COPRAS in Excel
  • 3. Implementation of COPRAS in Matlab

  • 13. Additive Ratio Assessment Method (ARM-ARAS)
  • 1. Introduction to ARAS
  • 2. Implementiation of ARAS in Excel
  • 3. Implementiation of ARAS in Matlab

  • 14. Weighted Aggregated Sum Product Assessment (WASPAS)
  • 1. Introduction to WASPAS
  • 2. Implementation of WASPAS in Excel
  • 3. Implementation of WASPAS in Matlab

  • 15. Stepwise Weight Assessment Ratio Analysis (SWARA)
  • 1. Introduction to SWARA
  • 2. Implementation of SWARA in Excel
  • 3. Implementation of SWARA in Matlab

  • 16. COmbinative Distance-based ASsessment (CODAS)
  • 1. Introduction to CODAS
  • 2. Implementation of CODAS in Excel
  • 3. Implementation of CODAS in Matlab

  • 17. Evaluation Based on Distance from Average Solution (EDAS)
  • 1. Introduction to EDAS
  • 2. Implementation of EDAS in Excel
  • 3. Implementation of EDAS in Matlab

  • 18. Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS
  • 1. Introduction to MARCOS
  • 2. Implementation of MARCOS in Excel
  • 3. Implementation of MARCOS in Matlab

  • 19. CRITIC
  • 1. Introduction to CRITIC
  • 2. Implementation of CRITIC in Excel
  • 3. Implementation of CRITIC in Matlab

  • 20. Entropy
  • 1. Introduction to Entropy
  • 2. Implementation of Entropy in Excel
  • 3. Implementation of Entropy in Matlab

  • 21. Combined Compromise Solution (CoCoSo)
  • 1. Introduction to CoCoSo
  • 2. Implementation of CoCoSo in Excel
  • 3. Implementation of CoCoSo in Matlab

  • 22. FuzzyAHP-Chang
  • 1. An Introduction to Chang method
  • 2. Implementing Chang method in Excel
  • 3. Implementing Chang method in Matlab
  • 4. Introduction to Fuzzy Integral Value
  • 5. Implementing Fuzzy Integral Value in Excel
  • 6. Implementing Fuzzy Integral Value in Matlab
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    تاریخ انتشار: ۹ آبان ۱۴۰۲
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