Titlebook: Uncertain Fuzzy Preference Relations and Their Applications; Zaiwu Gong,Yi Lin,Tianxiang Yao Book 2013 Springer-Verlag Berlin Heidelberg 2

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1434-9922 ce relations.This book addresses post-graduate and graduate .On the basis of fuzzy sets and some of their relevant generalizations, this book systematically presents the fundamental principles and applications of group decision making under different scenarios of preference relations. By using intui

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Preference Relations of Trapezoidal Fuzzy Numbers,n and Fan, 2004; Hou and Wu, 2005a, 2005b; Jiang and Fan, 2003; Chen and Fan, 2004; Herrera, 2001; Herrera, Herrera, and Martinez, 2000; Herrera and Martinez, 2000; 2001a; 2001b; Delgado, Herrera, and Herrera, 2002; Herrera, Martinez, and Sanchez, 2005; Wang and Fan, 2003; You, Fan, and Li, 2005;Gong, 2007; Gong and Liu, 2007c, Hou and Wu,2005b).

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Introduction,ualitative, or combined qualitative and quantitative decision problems (Saaty, 1980; Xu, 1988). Pairwise comparisons, also known as preference relations, are often used by decision makers to compare a set of decision alternatives with respect to a pre-determined criterion. An ideal process of decisi

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Complementary Preference Relations of Interval Fuzzy Numbers,uman judgments or both, decision makers might prefer imprecise information of judgment that takes the form of uncertainty numbers such as interval fuzzy numbers. Because it is hard to produce any accurate estimate, interval estimations are more preferable than crisp numbers. The lower bound of an in

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