Managing non-homogeneous information in group decision making

By Francisco Herrera, Luis Martínez-López, Pedro J. Sánchez. European Journal of Operational Research, 2005

637 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/bde566490c34de93c30ca2be42db44ac4021479b

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Citations in the corpus

Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency (2007, background): “In fact, this is an issue that recently has attracted the attention of many researchers in the area of GDM, and as a result different approaches to integrating different preference representation formats have been proposed [1]–[3], [9], [15], [16], [44], [45].”
Intuitionistic and interval-valued intutionistic fuzzy preference relations and their measures of similarity for the evaluation of agreement within a group (2009, background): “Thus, it is very suitable to express the expert’s preference values with intuitionistic fuzzy values rather than exact numerical values or linguistic variables (Atanassov et al. 2005; Herrera et al. 2005; Szmidt and Kacprzyk 2002; Xu and Yager 2006; Xu 2007).”
Intuitionistic preference relations and their application in group decision making (2007, background): “with intuitionistic fuzzy values rather than exact numerical values or linguistic variables [28,46,47,61].”
Handbook of Granular Computing (2008, methodology): “In [124] we discuss the WGC as a basic methodology for Perception-based computing (PBC).”
Computing with words in decision making: foundations, trends and prospects (2009, background): “Thus, in the literature we can find several approaches that try to incorporate both qualitative and quantitative information to decision making models [19, 30, 78, 134].”
Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP (2008, background): “Generally, these preference relations can be categorized into multiplicative preference relations [15,19,44], fuzzy preference relations [1,8–10,13,15,24,38,41–47] and linguistic preference relations [17,18,20–23,25,26,48–50,52].”
An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges (2012, methodology): “Group decision making [7,11] [40,47] [57,64] [119,122] [123,141]”