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Titlebook: Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations; Theories and Methodo Yejun Xu Book 2023 The Editor(s) (if applic

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發(fā)表于 2025-3-21 18:02:39 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations
副標(biāo)題Theories and Methodo
編輯Yejun Xu
視頻videohttp://file.papertrans.cn/269/268146/268146.mp4
概述Help master various methods for deriving priorities from incomplete fuzzy preference relations..Inspire readers to extend these methods to other preference relations..The first book on theories and me
圖書(shū)封面Titlebook: Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations; Theories and Methodo Yejun Xu Book 2023 The Editor(s) (if applic
描述.As we know, multiplicative preference relations (or called pairwise comparisons in AHP) were proposed by Dr. Thomas L Saaty. One important work is to derive its priority from pairwise comparisons. It has been proposed many methods to derive priority for multiplicative preference relation. On the basis of fuzzy sets, the fuzzy reciprocal preference relation is proposed and is extended to the incomplete contexts. However, how to derive the priorities from incomplete fuzzy reciprocal preference relations is an interesting and challenging work. This book systematically presents the theories and methodologies for deriving priorities from incomplete fuzzy reciprocal preference relations. This book can be divided into three parts. In the first part, this book introduces the basic concepts of fuzzy reciprocal preference relations and incomplete fuzzy reciprocal preference relations. Then, two consistencies of complete fuzzy reciprocal preference relations are introduced: additive consistency and multiplicative consistency. Then, the relationships between the fuzzy reciprocal elements and the weights are showed. Afterward, in the second part, different priority methods are presented. The i
出版日期Book 2023
關(guān)鍵詞Hesitant fuzzy preference relation; Ranking; Fuzzy preference relation; Incomplete fuzzy preference rel
版次1
doihttps://doi.org/10.1007/978-981-99-3169-9
isbn_softcover978-981-99-3171-2
isbn_ebook978-981-99-3169-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Deriving Priorities from Incomplete Fuzzy Reciprocal Preference RelationsTheories and Methodo
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nsistency and multiplicative consistency. Then, the relationships between the fuzzy reciprocal elements and the weights are showed. Afterward, in the second part, different priority methods are presented. The i978-981-99-3171-2978-981-99-3169-9
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Priorities from Fuzzy Best-Worst Method Matrix,). On the other hand, BWM has been further extended to combine with other types of fuzzy sets. Recently, Xu et al. (2021) proposed the fuzzy BWM (FBWM), which incorporates the fuzzy preference into BWM.
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Tiago Geraldo,Nuno Igreja Matos). On the other hand, BWM has been further extended to combine with other types of fuzzy sets. Recently, Xu et al. (2021) proposed the fuzzy BWM (FBWM), which incorporates the fuzzy preference into BWM.
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Book 2023 derive its priority from pairwise comparisons. It has been proposed many methods to derive priority for multiplicative preference relation. On the basis of fuzzy sets, the fuzzy reciprocal preference relation is proposed and is extended to the incomplete contexts. However, how to derive the priorit
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https://doi.org/10.1007/978-981-99-3169-9Hesitant fuzzy preference relation; Ranking; Fuzzy preference relation; Incomplete fuzzy preference rel
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