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

This book is an excellent source for researchers studying hybrid m–polar fuzzy models such as m–polar fuzzy soft sets and m–polar fuzzy soft rough sets. TOPSIS, ELECTRE I, ELECTRE II, ELECTRE III, ELECTRE IV, and PROMETHEE methods with m–polar fuzzy linguistic sets including the hesitancy concept together with several illustrative examples make this book a unique book in the literature so far. MCDM applications using 2–tuple linguistic m–polar fuzzy Hamacher aggregation operators with comparative analysis are another superiority of this book among the rare competitive sources in the literature. Hybrid models based on m–polar fuzzy soft sets based on m–polar fuzzy soft expert sets present several useful and didactic multiple criteria decision making examples such as selection of a restaurant, selection of a hotel, selection of a resort, and selection of a laptop. The book includes 72 figures and 348 tables that are indicators of how meticulously and devotedly the book was written.