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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/11625
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| タイトル: | Non-additive multi-attribute fuzzy target-oriented decision analysis |
| 著者: | Yan, Hong-Bin
Huynh, Van-Nam
Ma, Tieju
Nakamori, Yoshiteru |
| キーワード: | Multi-attribute decision analysis
Target-oriented decision
Target preferences
Choquet integral |
| 発行日: | 2013-04-02 |
| 出版者: | Elsevier |
| 誌名: | Information Sciences |
| 巻: | 240 |
| 開始ページ: | 21 |
| 終了ページ: | 44 |
| DOI: | 10.1016/j.ins.2013.03.050 |
| 抄録: | As an emerging area considering behavioral aspects of decision making, target-oriented decision model lies in the philosophical root of bounded rationality as well as represents the S-shaped value function. This paper deals with multi-attribute decision analysis from target-oriented viewpoint. First, the basic (random) target-oriented decision model is extended to involve three types of target preferences: benefit target, cost target, and equal target. Next, since applying fuzzy set theory in decision analysis allows the decision maker to specify imprecise aspiration levels, fuzzy target-oriented decision analysis is formulated to model three typical types of fuzzy targets: fuzzy min, fuzzy max, and fuzzy equal. Also, different attitudes are used to derive target achievement functions, which can be viewed as a support for “probability as psychological distance". Furthermore, we have proved that multi-attribute target-oriented decision analysis has a similar structure with discrete fuzzy measure and Choquet integral. Hence, we propose using discrete fuzzy measure and Choquet integral to model non-additive multi-attribute target-oriented decision analysis. In particular, the λ-measure is applied to reduce the difficulty of collecting information via a designed bisection search algorithm. Finally, a new product development example is used to illustrate the effectiveness and advantages of our model. The main advantages of our target-oriented decision model are its abilities to model the fuzzy uncertainty of targets as well as capture the non-additive behaviors among targets by means of discrete fuzzy measure and Choquet integral. |
| Rights: | NOTICE: This is the author's version of a work accepted for publication by Elsevier. Hong-Bin Yan, Van-Nam Huynh, Tieju Ma, Yoshiteru Nakamori, Information Sciences, 240, 2013, 21-44, http://dx.doi.org/10.1016/j.ins.2013.03.050 |
| URI: | http://hdl.handle.net/10119/11625 |
| 資料タイプ: | author |
| 出現コレクション: | a10-1. 雑誌掲載論文 (Journal Articles)
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