Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information

This bookpresents anextension of fuzzy set theory allowingfor multi-polar information, discussingits impact on the theoretical and practical development of multi-criteria decision making.It reports onset of hybrid models developed by the authors,and show how they canbeadapted, case by case,to the lack of certainty under a variety of criteria.Among them, hybrid models combiningm-polar fuzzy sets with rough, soft and 2-tuple linguistic sets, andm-polar hesitant fuzzy sets and hesitant m-polar fuzzyare presented, together with some significant applications.In turn, outranking decision-making techniques such asm-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,isshowninsome real-world applications. Overall, this book offers a guide on methodologies to deal withthe multi-polarityand 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.