书目名称 | Multiple Criteria Decision Making Methods with Multi-polar Fuzzy Information | 副标题 | Algorithms and Appli | 编辑 | Muhammad Akram,Arooj Adeel | 视频video | | 概述 | Describes a series of hybrid decision models with with m-polar fuzzy information.Shows applications to real-world problems of different disciplines.Addresses a specialised audience of readers with kno | 丛书名称 | Studies in Fuzziness and Soft Computing | 图书封面 |  | 描述 | .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 t | 出版日期 | Book 2023 | 关键词 | m-Polar Fuzzy Soft Sets; m-Polar Fuzzy Rough Sets; Analytical Hierarchy Process; Hesitant m-Polar Fuzzy | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-43636-9 | isbn_softcover | 978-3-031-43638-3 | isbn_ebook | 978-3-031-43636-9Series ISSN 1434-9922 Series E-ISSN 1860-0808 | issn_series | 1434-9922 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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