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環(huán)形

茁壯成長

Anthropogene Luftverunreinigung, are limited; as a result, instead of the exact values of different quantities, we operate with granules that contain these values. On several examples, we show that optimization under such granularity restriction indeed leads to observed human decision making. Thus, granularity helps explain seemingly irrational human decision making.

引導(dǎo)

Anmerkungen Zu Speziellen Problemen,omputation. These reviews are purported to advance our thinking on the long-ignored granularity in economics and the subsequent implications for public policy-making, such as retirement plans. It, of course, remains to be examined whether the good use of the idea of granularity can enhance the quality of decision making.

斷斷續(xù)續(xù)

J. W. Knox,R. B. Matthews,R. Wassmannation is developed, where each pairwise comparison is formed as an information granule instead of a single numeric value. It offers the required flexibility to increase the level of agreement within the staff, using the fact that the most suitable numeric representative of the fuzzy preference relation is selected.

Notorious

engender

縱欲

Mawkish

,Decision Makers’ Opinions Changing Attitude-Driven Consensus Model under Linguistic Environment and be interested to change their opinions further. This analysis motivates us to develop a new consensus reaching process under linguistic environment wherein decision makers’ opinions will be changed according to the opinion changing indices provided by them and, thus, decision makers’ moral right to

品嘗你的人

Using Computing with Words for Managing Non-cooperative Behaviors in Large Scale Group Decision Maknon-cooperative behaviors in this kind of problems. Recent proposals in the literature suggest managing non-cooperative behavior by reducing the importance of expert opinions. These proposals present drawbacks such as, the inability of an expert to recover his/her importance if behavior improves; an

疏忽

A Type-2 Fuzzy Logic Approach for Multi-Criteria Group Decision Making,n making models to employ a suite of type-2 fuzzy logic systems in order to provide answers to the problems that are encountered in the real experts’ decision. In the proposed framework, we will present a MCGDM method based on interval type-2 fuzzy logic combined with intuitionistic fuzzy evaluation