Multi-attribute group decision making based on linguistic Choquet integral operator

被引:1
|
作者
Tan C.-Q. [1 ]
Ma B.-J. [1 ]
机构
[1] Business School, Central South Univ.
关键词
Fuzzy measure; Group decision making; Linguistic Choquet integral operator; Linguistic evaluation scale;
D O I
10.3969/j.issn.1001-506X.2010.11.21
中图分类号
学科分类号
摘要
In the real multi-attribute group decision making problems, there exists interactions phenomena among the decision making attributes and preference of experts. A linguistic Choquet integral operator is investigated for multiple attribute group decision making. Some operational laws on linguistic evaluation scale are introduced. Based on these operational laws and fuzzy measures, a linguistic Choquet integral operator is presented. And then its some properties are analyzed. It is pointed that the linguistic Choquet integral operator is the generalization of the linguistic OWA operator. Finally, the linguistic Choquet integral operator is applied to dealing with linguistic multi-attribute decision making problems. The process of calculation of the developed approaches and its feasibility and practicality are demonstrated by an illustrative example.
引用
收藏
页码:2352 / 2355
页数:3
相关论文
共 14 条
  • [1] Xu Y.J., Da Q.L., Zhao C.X., Interactive approach for multiple attribute decision making with in complete weight information under uncertain linguistic environment, Systems Engineering and Electronics, 31, 3, pp. 597-601, (2009)
  • [2] Liu L., Chen Y.X., Ge Z.H., Approach to the multiattribute linguistic decision making and its application, Systems Engineering and Electronics, 31, 1, pp. 113-115, (2009)
  • [3] Ding Y., Liang C.Y., Lu W.X., Method for linguistic malti-attvibute decision-making with incomplete attribute weight information, Systems Engineering and Electronics, 30, 11, pp. 2190-2193, (2008)
  • [4] 22, 4, pp. 394-398, (2007)
  • [5] Xu Z.S., A method based on linguistic aggregation operators for group decision making with linguistic preference relations, Information Sciences, 166, 1, pp. 19-30, (2004)
  • [6] Xu Z.S., EOWA and EOWG operators for aggregating linguistic labels based on linguistic preference relations, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Fuzziness and Knowledge-Based Systems, 12, 6, pp. 791-810, (2004)
  • [7] Wakker P., Additive Representations of Preferences, (1999)
  • [8] Sugeno M., Theory of fuzzy integral and its application, (1974)
  • [9] Ishii K., Sugeno M., A model human evaluation process using fuzzy measure, International Journal of Man-Machine Studies, 22, 1, pp. 19-38, (1985)
  • [10] Kojadinovic I., Modeling interaction phenomena using fuzzy measures: On the notions of interaction and independence, Fuzzy Sets and Systems, 135, 3, pp. 317-340, (2002)