Modeling Fuzzy Decision Fusion Based on Vague Set

Abstract:

As a further generalization of fuzzy set theory, the vague set theory can overcome the shortcomings of fuzzy set by describing the membership from two sides of both TRUE and FALSE, rather than only by a single membership value. Since vague sets can provide more information than fuzzy sets, it is superior in mathematical analysis of system with uncertainty. Thus, vague set is more powerful in the describing and processing of uncertain, inaccurate, even conflicting information. In this paper, a new method vague set-based is proposed to deal with fuzzy decision fusion problem. Compared with traditional fuzzy decision fusion method- such as fuzzy comprehensive evaluation, the new method is more efficient and powerful to fulfill decision fusion with uncertain and inaccurate information. Generally, the new method is the same with group decision fusion and soft fusion.

• Periodical: Applied Mechanics and Materials (Volume 197)
• Pages: 7-12
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.197.7
• Online since: September 2012
• Authors: Jian Hong Wang, Lei Liu
• Keywords: Decision Fusion, Decision-Making, Fuzzy Evaluation, Fuzzy Set, Vague Set

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