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

Multi-Criteria Decision-Making (MCDM) has evolved as a pivotal aspect of operations research, focusing on the creation of computational and mathematical instruments to aid decision-makers in their subjective evaluation of performance criteria.

For the first time on Udemy, we present an all-encompassing course that delves deep into a variety of MCDM methodologies. This practical course is tailored to meet the needs of students, researchers, and professionals in the field.

Our approach to each MCDM methodology is threefold:

We kick-start with an introduction to the foundational theory of the method.

Following this, we provide hands-on implementation using Microsoft Excel.

To conclude, we transition into coding the method with Matlab programming.

Course Outline:

• Introduction to MCDM
• 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 Intercriteria Correlation (CRITIC)
• Entropy Weighting Technique

Additionally, the course is enriched with an extensive selection of coding tutorials, ensuring students have ample opportunities to cement their theoretical understanding with practical exercises.

Upon successful completion of this course, participants will be well-equipped to apply Excel and Matlab to a plethora of MCDM challenges. This foundation will also pave the way for exploring and mastering other MCDM strategies.