Stability in GDSS under fuzzy production rules
نویسندگان
چکیده
Fedrizzi and Mich [6] have presented a new Group Decision Support System (GDSS) logic architecture in which linguistic variables and fuzzy production rules have been used for reaching consensus. We show that when all the fuzzy numbers representing the performance levels have continuous membership function, then the consensus degrees (defined by a certain similarity measure) relative to each alternative are stable under small changes of the experts’ opinions.
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