Application Of Fuzzy Ahp: Theory And Practice
Published 6/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 38m | Size: 215.5 MB
Learn Chang’s method step by step to calculate criteria weights and rankings.
What you’ll learn
Fundamentals of Fuzzy Logic and Fuzzy Multicriteria Methods
Principles of Chang’s Extent Analysis Method in Fuzzy AHP
Application of Fuzzy AHP in a Case Study: Data Preparation
Application of Fuzzy AHP in a Case Study: Weight Calculation
Results Interpretation and Course Wrap-Up
Requirements
English intermediate
Excel Intermediate
Description
Learn how to applyFuzzy AHP for multicriteria decision-making under uncertainty. This course explains the theoretical foundations of fuzzy logic and fuzzy multicriteria methods, and then focuses on the practical application ofChang’s method to calculate criteria weights and obtain a final ranking.
Through a step-by-step case study, you will understand how to collect expert judgments, transform them into fuzzy values, perform the calculations, and interpret the results. The course is designed for students, researchers, and professionals who need to prioritize criteria, evaluate decision factors, or support academic and practical decision-making processes.
You will also learn how linguistic evaluations can be used when expert opinions are not completely precise, and how these evaluations can be converted into triangular fuzzy numbers for analysis. Each stage of the method is presented progressively, so you can follow the logic behind the procedure instead of only observing the final result.
The explanations are practical and focused on understanding the method, making the course useful for research projects, thesis development, reports, and professional decision analysis.
By the end of the course, you will have a clearer understanding of how Fuzzy AHP works, how Chang’s method is applied, and how the final criteria weights can be interpreted to support multicriteria decisions.
Who this course is for
Students or people interested in decision-making using multi-criteria methods
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