期刊
COGNITIVE COMPUTATION
卷 7, 期 4, 页码 445-463出版社
SPRINGER
DOI: 10.1007/s12559-014-9313-9
关键词
Decision making; Clustering analysis; Hesitant fuzzy set; Correlation coefficient; Shapley function
资金
- State Key Program of National Natural Science of China [71431006]
- Funds for Creative Research Groups of China [71221061]
- NSFC [71210003]
- National Natural Science Foundation of China [71201089, 71201110, 71271217, 71271029]
- National Science Foundation for Postdoctoral Scientists of China [2014M560655]
- Program for New Century Excellent Talents in University of China [NCET-12-0541]
In this paper, several new correlation coefficients of hesitant fuzzy sets are defined, not taking into account the length of hesitant fuzzy elements and the arrangement of their possible values. To address the situations where the elements in a set are correlative, several Shapley weighted correlation coefficients are presented. It is worth noting that the Shapley weighted correlation coefficient can be seen as an extension of the correlation coefficient based on additive measures. When the weight information of attributes is partly known, models for the optimal fuzzy measure on an attribute set are constructed. After that, an approach to clustering analysis and decision making under hesitant fuzzy environment with incomplete weight information and interactive conditions is developed. Meanwhile, corresponding examples are provided to verify the practicality and feasibility of the new approaches.
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