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

45,900 تومان

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تولید کننده: Udemy