Multiple Criteria Decision Making with Fuzzy Sets

Using numerical examples to illustrate their concepts and results, this book examines recently developed fuzzy multi-criteria methods, such as Intuitionistic Fuzzy TOPSIS, Intuitionistic Fuzzy TOPSIS & DEA-AHP, Intuitionistic VIKOR, Pythagorean WASPAS, Pythagorean ENTROPI, Hesitant CBD, Hesitant MABAC, Triangular EDAS, Triangular PROMETHEE, q-Rung Orthopair COPRAS, and Fuzzy Type - 2 ELECTRE. Each chapter covers practical applications in addition to fresh developments and results.

Given its structure and scope, the book can be used as a textbook in graduate courses on operations research and industrial engineering. It also offers a valuable resource for scientists working in a range of disciplines that require multi-criteria decision making.

Data-Driven Multi-Criteria Group Decision Making Under Heterogeneous Information. - Supplier Evaluation with Q-Rung Orthopair Fuzzy-Based COPRAS Method. - An Integrated Intuitionistic Fuzzy MCDM Model: Its Application to RIS. - Prioritization of Automotive Dealers According to Environmental Sustainability Criteria Using Fuzzy EDAS Method. - Ranking of the Bottled Water Brands Using Interval Type-2 Fuzzy ELECTRE Method. - Interval-Valued Pythagorean Fuzzy Entropy Weight Method and Its Application to Supplier Selection. - Hospital Performance Evaluation in COVID-19 Pandemic by Using Hesitant Fuzzy MABAC. - A Multiple Criteria Ranking Method Based on Outranking Relations: An Extension for Prospect Theory. - Development of a Cutting Insert Selection Model Using the Hesitant Fuzzy TOPSIS. -Comparing SMEs According to Industry 4. 0 Adaptations for Mitigating the Bullwhip Effect. - Evaluating Industry 4. 0 Barriers by Intuitionistic Fuzzy VIKOR Method. - Evaluating Industry 4. 0 Barriers by Intuitionistic Fuzzy VIKOR Method. - Stationary Characteristics for Renewal-Reward Process with Generalized Reflecting Barrier and Fuzzy Demands.