Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information : Algorithms and Applications

著者名：Akram, Muhammad/Adeel, Arooj

Springer（2023/12/03発売）

• 言語：ENG
• ISBN：9783031436352
• eISBN：9783031436369

Description

This book presents an extension of fuzzy set theory allowing for multi-polar information, discussing its impact on the theoretical and practical development of multi-criteria decision making. It reports on set of hybrid models developed by the authors, and show how they can be adapted, case by case, to the lack of certainty under a variety of criteria. Among them, hybrid models combining m-polar fuzzy sets with rough, soft and 2-tuple linguistic sets, and m-polar hesitant fuzzy sets and hesitant m-polar fuzzy are presented, together with some significant applications.  In turn, outranking decision-making techniques such as m-polar fuzzy ELECTRE I, II, III and IV methods, as well as m-polar fuzzy PROMETHEE I and II methods, are developed. The efficiency of these decision-making procedures, as well as other possible extensions studied by the authors, is shown in some real-world applications.  Overall, this book offers a guide on methodologies to deal with the multi-polarity and fuzziness of the real-world problems, simultaneously. By including algorithms and computer programming codes, it provides a practice-oriented reference guide to both researchers and professionals working at the interface between computational intelligence and decision making.

Table of Contents

1. Hybrid Multi-polar Fuzzy Models.- 2. TOPSIS and ELECTRE-I Methods under Multi-polar Fuzzy Linguistic Sets.- 3. Introducing Hesitancy: TOPSIS and ELECTRE-I Models.- 4. Extended ELECTRE I, II Methods with Multi-polar Fuzzy Sets.- 5. Enhanced ELECTRE III Method with Multi-polar Fuzzy Sets.