Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information

<p>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.</p><br><p></p>