Journal
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
Volume 8, Issue 5, Pages 959-976Publisher
ATLANTIS PRESS
DOI: 10.1080/18756891.2015.1099903
Keywords
Fuzzy soft set; Decision making; Grey relational analysis; MYCIN certainty factor
Categories
Funding
- National Natural Science Foundation of China [11461005, 11201490, 11401052]
- Natural Science Foundation of Guangxi [2014GXNSFAA118001]
- Guangxi University Science and Technology Research Project [KY2015YB075, KY2015YB081, KY2015YB266]
- Quantitative Economics Key Laboratory Program of Guangxi University of Finance and Economics [2014SYS11]
- Science Research Project of the China-ASEAN Study Center (Guangxi Science Experiment Center) of Guangxi University for Nationalities [KT201427]
- Research Project of Teacher Education [2014JS013]
- China Post-doctoral Science Foundation [2013M542558]
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This paper proposes a novel approach to decision making based on grey relational analysis and MYCIN certainty factor, which describes decision making problems with fuzzy soft sets. Firstly, we utilize grey relational analysis to obtain the grey mean relational degree, and the uncertain degree of various parameters is acquired. On the basis of uncertain degree, we obtain the essence uncertainty factor of each independent alternative with each parameter. Information can be fused in accordance with MYCIN certainty factor combination rule and the best alternatives are achieved. By using three examples, comparing with the mean potentiality approach and giving an application to medical diagnosis problems, the feasibility and effectiveness of the approach are demonstrated.
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