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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/10119/9568
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タイトル: | Linguistic Multi-Expert Decision Making Involving Semantic Overlapping |
著者: | Yan, Hong-Bin Huynh, Van-Nam Nakamori, Yoshiteru |
キーワード: | Multi-expert decision making Linguistic assessments Aggregation Target-oriented ranking |
発行日: | 2010-03-26 |
出版者: | Springer |
誌名: | |
巻: | 68/2010 |
開始ページ: | 281 |
終了ページ: | 292 |
DOI: | 10.1007/978-3-642-11960-6_26 |
抄録: | This paper presents a probabilistic model for linguistic multi-expert decision making (MEDM), which is able to deal with vague concepts in linguistic aggregation and decision-makers’ preference information in choice function. In linguistic aggregation phase, the vagueness of each linguistic judgement is captured by a possibility distribution on a set of linguistic labels. A confidence parameter is also incorporated into the basic model to model experts’ confidence degree. The basic idea of this linguistic aggregation is to transform a possibility distribution into its associated probability distribution. The proposed linguistic aggregation results in a set of labels having a probability distribution. As a choice function, a target-oriented ranking method is proposed, which implies that the decision-maker is satisfactory to choose an alternative as the best if its performance is as at least “good” as his requirements. |
Rights: | This is the author-created version of Springer, Hong-Bin Yan, Van-Nam Huynh and Yoshiteru Nakamori, Integrated Uncertainty Management and Applications, Advances in Soft Computing, 68/2010, 2010, 281-292. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-642-11960-6_26 |
URI: | http://hdl.handle.net/10119/9568 |
資料タイプ: | author |
出現コレクション: | a10-2. 図書 (Book, Book Chapter)
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このアイテムのファイル:
ファイル |
記述 |
サイズ | 形式 |
16017-1.pdf | | 375Kb | Adobe PDF | 見る/開く |
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