A New Method for Interval Multiple Attribute Decision Making Based on Minimum Variance and Approach Degree
- Resource Type
- Conference
- Authors
- Ai, Zhenhai
- Source
- 2011 Seventh International Conference on Computational Intelligence and Security Computational Intelligence and Security (CIS), 2011 Seventh International Conference on. :1408-1412 Dec, 2011
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Decision making
Educational institutions
Companies
Indexes
Fuzzy sets
Humans
Vectors
Approach degree
Interval number
Multiple attribute decision making
Variance
- Language
In order to study the interval multiple attribute decision making problem, this paper presents a new method based on variance and approach degree. The detailed procedure of the proposed algorithm and numerical experiment are given. Also the proposed algorithm is compared with an existed algorithm. Compared results show that the proposed algorithm is effective and feasible.