Stability in GDSS under fuzzy production rules
作者： Mario Fedrizzi , Robert Fuller
DOI:
关键词: Fuzzy set operations 、 Defuzzification 、 Fuzzy mathematics 、 Fuzzy logic 、 Type-2 fuzzy sets and systems 、 Fuzzy classification 、 Artificial intelligence 、 Membership function 、 Mathematics 、 Fuzzy number
摘要: Fedrizzi and Mich [6] have presented a new Group Decision Support System (GDSS) logic architecture in which linguistic variables fuzzy production rules been used for reaching consensus. We show that when all the numbers representing performance levels continuous membership function, then consensus degrees (defined by certain similarity measure) relative to each alternative are stable under small changes of experts’ opinions.
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