＜電子ブック＞
Multi-criteria Decision Making Methods with Bipolar Fuzzy Sets / by Muhammad Akram, Shumaiza, José Carlos Rodríguez Alcantud
(Forum for Interdisciplinary Mathematics. ISSN:23646756)
| 版 | 1st ed. 2023. |
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| 出版者 | (Singapore : Springer Nature Singapore : Imprint: Springer) |
| 出版年 | 2023 |
| 本文言語 | 英語 |
| 大きさ | XXV, 214 p. 51 illus., 15 illus. in color : online resource |
| 著者標目 | *Akram, Muhammad author Shumaiza author Rodríguez Alcantud, José Carlos author SpringerLink (Online service) |
| 件 名 | LCSH:Operations research LCSH:Mathematical optimization LCSH:Set theory LCSH:Mathematics FREE:Operations Research and Decision Theory FREE:Optimization FREE:Set Theory FREE:Applications of Mathematics |
| 一般注記 | 1. TOPSIS and ELECTRE-I Methodologies: Bipolar Fuzzy Formulations -- 2.TOPSIS Method with Trapezoidal Bipolar Fuzzy Numbers -- 3. VIKOR Method with Trapezoidal Bipolar Fuzzy Sets. - 4. Extended VIKOR Method Based on Complex Bipolar Fuzzy Sets -- 5. Beyond ELECTRE I: A Bipolar Fuzzy ELECTRE II Method -- 6. Extended PROMETHEE Method with Bipolar Fuzzy Sets -- 7. Enhanced Decision-Making Method with Two-Tuple Linguistic Bipolar Fuzzy Sets This monograph discusses the theoretical and practical development of multicriteria decision making (MCDM). The main purpose of MCDM is the construction of systematized strategies for the "optimisation" of feasible options, as well as the justification of why some alternatives can be declared "optimal". However, at time, we must make decisions in an uncertain environment and such inconvenience gives rise to a much more elaborate scenario. This book highlights models where this lack of certainty can be flexibly fitted in and goes on to explore valuable strategies for making decisions under a multiplicity of criteria. Methods discussed include bipolar fuzzy TOPSIS method, bipolar fuzzy ELECTRE-I method, bipolar fuzzy ELECTRE-II method, bipolar fuzzy VIKOR method, bipolar fuzzy PROMETHEE method, and two-tuple linguistic bipolar fuzzy Heronian mean operators. This book is a valuable resource for researchers, computer scientists, and social scientists alike HTTP:URL=https://doi.org/10.1007/978-981-99-0569-0 |
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| 電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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| 電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9789819905690 |
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電子リソース |
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EB00223450 |