Multi-Criteria Decision Making (MCDM)
A mega course to implement different approaches using Microsoft Excel and Matlab programming to solve MCDM problems
Lectures -74
Resources -20
Duration -13.5 hours
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Course Description
Multiple Criteria Decision-Making (MCDM) has grown as a part of operations research, concerned with designing computational and mathematical tools for supporting the subjective evaluation of performance criteria by decision-makers.
This is the first time that a comprehensive course has been launched on Udemy focusing on a wide range of multi-criteria decision-making (MCDM) approaches. Therefore, we have launched a practical course in the domain of MCDM required for students, researchers and practitioners.
All in all, for any given MCDM approach, Firstly, we introduce the basic theory of that corresponding method, then it is implemented in Microsoft Excel, and finally, we will code the considered example using Matlab language programming.
In Summary, we will discuss the following points and MCDM approaches in detail:
- Background of MCDMs
- Simple Additive Weightage (SAW)
- Analytic Hierarchy Process (AHP)
- Analytic Network Process (ANP)
- Technique for Order Preference and Similarity to Ideal Solution (TOPSIS)
- Elimination Et Choice Translating Reality (ELECTRE)
- Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE)
- VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)
- Decision-Making Trial and Evaluation Laboratory (DEMATEL)
- Grey Relational Analysis (GRA)
- Multi-objective Optimization on the Basis of Ratio Analysis Method (MOORA)
- Complex Proportion Assessment Method (COPRAS)
- Additive Ratio Assessment Method (ARM-ARAS)
- Weighted Aggregated Sum Product Assessment (WASPAS)
- Stepwise Weight Assessment Ratio Analysis (SWARA)
- COmbinative Distance-based ASsessment (CODAS)
- Evaluation Based on Distance from Average Solution (EDAS)
- Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS)
- CRiteria Importance Through IntercriteriaCorrelation (CRITIC)
- Entropy Weighting Technique
- Combined Compromise Solution (CoCoSo)
- Fuzzy AHP
- Fuzzy ANP
This course also includes a large number of coding videos to give you enough opportunity to practice the theory covered in the lecture.
By passing this course, you will become aware of how to use Excel and Matlab on a wide range of MCDM problems, and as a result, you will learn how to handle other MCDM approaches.
Please note that this course will be updated with new MCDM approaches.
Goals
What will you learn in this course:
- Basic concepts and terms related to Multi-Criteria Decision Making (MCDM)
- Basic rules  of  Matlab programming needed for implementing any MCDMs
- Basic Skills of  Excel  needed for implementing any MCDMs
- How to solve any MCDM problem via Matlab and Excel
Prerequisites
What are the prerequisites for this course?
- Basic knowledge in Multi-Criteria Decision Making (MCDM) Â approaches
Curriculum
Check out the detailed breakdown of what’s inside the course
Background of MCDMs
1 Lectures
- Background of MCDMs 21:04 21:04
Simple Additive Weightage (SAW)
4 Lectures
Analytic Hierarchy Process (AHP)
6 Lectures
Analytic Network Process (ANP)
5 Lectures
Technique for Order Preference and Similarity to Ideal Solution (TOPSIS)
3 Lectures
Elimination Et Choice Translating Reality (ELECTRE)
3 Lectures
Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE)
3 Lectures
VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR)
3 Lectures
Decision-Making Trial and Evaluation Laboratory (DEMATEL)
3 Lectures
Grey Relational Analysis (GRA)
3 Lectures
Multi-objective Optimization on the Basis of Ratio Analysis Method (MOORA)
3 Lectures
Complex Proportion Assessment Method (COPRAS)
3 Lectures
Additive Ratio Assessment Method (ARM-ARAS)
3 Lectures
Weighted Aggregated Sum Product Assessment (WASPAS)
3 Lectures
Stepwise Weight Assessment Ratio Analysis (SWARA)
3 Lectures
COmbinative Distance-based ASsessment (CODAS)
3 Lectures
Evaluation Based on Distance from Average Solution (EDAS)
3 Lectures
Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS)
3 Lectures
CRITIC
3 Lectures
Entropy
3 Lectures
Combined Compromise Solution (CoCoSo)
3 Lectures
FuzzyAHP-Chang
6 Lectures
Fuzzy ANP
1 Lectures
Instructor Details
Reza Moghdani
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