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Multi-Criteria Decision Making (MCDM) Using Matlab and Excel
Rating: 4.2 out of 5(34 ratings)
337 students

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

Learn how to implement different approaches using Microsoft Excel and Matlab language programming to solve real-world M
Created byOperation Research Group
Last updated 9/2023
English

What you'll learn

  • Gain a foundational understanding of the Multi-Criteria Decision Making process and its significance in various fields
  • Dive deep into the most recent methods and techniques in MCDM, ensuring that students stay at the cutting edge of the discipline.
  • Acquire proficiency in leveraging Excel to tackle MCDM problems, from basic to advanced levels.
  • Learn to use Matlab as a powerful tool for addressing MCDM scenarios, from setting up decision problems to solving complex cases.
  • Equip yourself with the ability to program and customize various MCDM techniques, allowing for flexibility and adaptability in problem-solving

Course content

22 sections • 73 lectures • 13h 1m total length

  • Background of MCDMs121:04

Requirements

  • Basic understanding of decision-making processes and principles.
  • Familiarity with the concept of MCDM and its applications.
  • Basic proficiency in Microsoft Excel, including functions and data organization.
  • Introductory knowledge of MATLAB, including its interface and basic commands.
  • Elementary understanding of linear algebra, matrices, and mathematical optimization.
  • Basic knowledge of statistics, especially in the context of data analysis.

Description

Multi-Criteria Decision-Making (MCDM) stands at the forefront of operations research, dedicated to developing sophisticated computational and mathematical tools to assist decision-makers in evaluating performance criteria objectively.

For the first time on Udemy, we're excited to introduce a comprehensive course that dives deep into the diverse world of MCDM methodologies. Designed specifically for students, researchers, and industry professionals, this practical course aims to bridge the gap between theoretical knowledge and real-world application.

Our unique approach to exploring each MCDM methodology unfolds in three distinct phases:

  1. Introduction to Theory: We begin with a thorough exploration of the foundational principles underlying each method.

  2. Hands-on Implementation: Participants will learn to apply these methods using Microsoft Excel, emphasizing practical skills.

  3. Coding with Matlab: The course culminates with participants coding the methodologies in Matlab, enhancing their technical proficiency.

Course Highlights Include:

  • Fundamentals of 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 (MOORA)

  • Complex Proportion Assessment (COPRAS)

  • Additive Ratio Assessment (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

The course is further enhanced with a wealth of coding tutorials, offering students numerous opportunities to solidify their understanding through practical application.

Upon completing this course, participants will possess the skills to adeptly use Excel and Matlab for addressing various MCDM challenges, laying a solid foundation for mastering additional MCDM techniques.

Who this course is for:

  • Those studying operations research, management science, engineering, business analytics, or any field where decision-making processes are crucial.
  • Engineers, data analysts, operations managers, and others who need to make informed decisions by considering multiple criteria.
  • Professionals who advise businesses on decision-making strategies and need tools to analyze multiple decision factors simultaneously.
  • Professors and educators who wish to incorporate MCDM methodologies into their curriculum or research.
  • Individuals keen on learning how to implement MCDM techniques using popular software tools like MATLAB and Excel.
  • Executives, managers, or anyone tasked with making complex decisions where multiple factors need to be weighed and considered.
  • Those with a curious mind about structured decision-making processes and how software can aid in such tasks.

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