An approach based on the uncertain LOWG and induced uncertain LOWG operators to group decision making with uncertain multiplicative linguistic preference relations

By Zeshui Xu. Decision Support Systems, 2006

373 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/1200b7ce7999456f0686c4021ea1dcdeef448bef

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In Computational Theory and Mathematics

In Management Science and Operations Research

Citations in the corpus

Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency (2007, background): “In the future, we will address the extension of the management procedure of incomplete information to the case of linguistic preference relations [11], [15], [30] and its application to model users’ preferences or desires in different problems like Internet business [24], technology selection [5], l”
Hesitant fuzzy power aggregation operators and their application to multiple attribute group decision making (2013, background): “In practice, we often encounter situations in which the input arguments cannot be expressed as exact numerical values; instead, they might take the form of interval numbers [60], intuitionistic fuzzy numbers [6,7,15,42,58], interval-valued intuitionistic fuzzy numbers [51], linguistic variables [1,8”
Probabilistic linguistic term sets in multi-attribute group decision making (2016, methodology): “Xu [30] gave an approach based on the uncertain linguistic ordered weighted geometric (LOWG) and the induced uncertain LOWG operators to GDM with uncertain multiplicative linguistic preference relations.”
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].”
A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets (2008, background): “The fuzzy linguistic approach [54]–[56] deals with qualitative aspects that are represented in qualitative terms by means of linguistic variables, providing an important tool for solving problems in different areas such as information retrieval [7], [8], [26]–[28], [35], [36], [57], services evaluat”