|
JAIST Repository >
a. 知識科学研究科・知識科学系 >
a10. 学術雑誌論文等 >
a10-1. 雑誌掲載論文 >
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/10119/15296
|
| タイトル: | A proportional linguistic distribution based model for multiple attribute decision making under linguistic uncertainty |
| 著者: | Guo, Wen-Tao
Huynh, Van-Nam
Sriboonchitta, Songsak |
| キーワード: | Computing with words
Decision making
Incomplete assessment
Linguistic modeling
Multiple attribute |
| 発行日: | 2016-12-09 |
| 出版者: | Springer |
| 誌名: | Annals of Operations Research |
| 巻: | 256 |
| 号: | 2 |
| 開始ページ: | 305 |
| 終了ページ: | 328 |
| DOI: | 10.1007/s10479-016-2356-4 |
| 抄録: | This paper aims at developing a proportional fuzzy linguistic distribution model for multiple attribute decision making problems, which is based on the nature of symbolic linguistic model combined with distributed assessments. Particularly, in this model the evaluation on attributes of alternatives is represented by distributions on the linguistic term set used as an instrument for assessment. In addition, this new model is also able to deal with incomplete linguistic assessments so that it allows evaluators to avoid the dilemma of having to supply complete assessments when not available. As for aggregation and ranking problems of proportional fuzzy linguistic distributions, the extension of conventional aggregation operators as well as the expected utility in this proportional fuzzy linguistic distribution model are also examined. Finally, the proposed model will be illustrated with an application in product evaluation. |
| Rights: | This is the author-created version of Springer, Wen-Tao Guo, Van-Nam Huynh, Songsak Sriboonchitta, Annals of Operations Research, 256(2), 2016, 305-328. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/s10479-016-2356-4 |
| URI: | http://hdl.handle.net/10119/15296 |
| 資料タイプ: | author |
| 出現コレクション: | a10-1. 雑誌掲載論文 (Journal Articles)
|
このアイテムのファイル:
| ファイル |
記述 |
サイズ | 形式 |
|---|
| 23923.pdf | | 1744Kb | Adobe PDF | 見る/開く |
|
当システムに保管されているアイテムはすべて著作権により保護されています。
|
