GROUP DECISION MAKING WITH FUZZY MAJORITIES REPRESENTED BY LINGUISTIC QUANTIFIERS
作者： Janusz Kacprzyk , Mario Fedrizzi , Hannu Nurmi
DOI: 10.1016/B978-1-4832-1450-4.50083-3
关键词: Fuzzy classification 、 Linguistics 、 Natural language processing 、 Commonsense knowledge 、 Membership function 、 Type-2 fuzzy sets and systems 、 Artificial intelligence 、 Fuzzy logic 、 Defuzzification 、 Fuzzy number 、 Group decision-making 、 Mathematics
摘要: ABSTRACT New solution concepts in group decision making under fuzzy individual preference relations and a majority expressed by linguistic quantifier (e.g., most, almost all, …) are presented. Two – logic based calculi of linguistically quantified proposition, underlying Zadeh's representation commonsense knowledge as collection dispositions (propositions with implicit quantifiers), used. These new seem to be more human consistent, hence should acceptable implementable. Moreover, the use similar approach develop some “soft” degrees consensus is outlined.
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