Two-Tuple Linguistic Preference Relations

  • Zaiwu Gong
  • Yi Lin
  • Tianxiang Yao
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 281)


In decision makings involving multiple attributes, terms used for linguistic evaluations, such as outstanding, good, and poor, are difficult to deal with in terms of quantitative models. The evaluations of these terms are often transformed into mathematical symbols (variables). In recent years, a great amount of attentions have been attracted to the decision making analysis of linguistic variables (Fan, and Jiang, 2003, 2004; Xu, 2004e,2005b,2005c; Chen 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).


Linguistic Term Decision Alternative Linguistic Information Preference Matrix Fuzzy Preference Relation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Science and Technology, College of Economics and ManagementNanjing University of InformationNanjingChina, People’s Republic
  2. 2.Dept. MathematicsSlippery Rock University of PennsylvaniaSlippery RockUSA

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