References in periodicals archive ?
Fuzzy preference relations (FPRs) are widely used in decision making, where consistency of FPRs is a major goal and interesting research topic (Herrera-Viedma et al.
With respect to the preference relations of HFSs, Xia and Xu (2013) defined hesitant fuzzy preference relations (HFPRs) and developed an approach to apply HFPRs to decision making.
This section introduces some concepts related to hesitant fuzzy sets (HFSs), fuzzy preference relations (FPRs), and hesitant fuzzy preference relations (HFPRs).
Fuzzy preference relations (FPRs), which integrate fuzzy logic and AHP concepts, greatly improve on AHP in terms of relative weight evaluation.
Many important decision models have been developed using mainly: (1) multiplicative preference relations and (2) fuzzy preference relations (Herrera-Viedma et al.
C (S) = M (S, R)) for each S [member of] B, where R is fuzzy revealed preference relation generated by C.
Following lemma gives the relationship between fuzzy preference relation and fuzzy revealed preference relation.
Using this aggregation operator the collective linguistic preference relation obtained is the following:
Xu [11] has developed a direct approach to decision making with linguistic preference relations.
3) Some work in preference modelling has also addressed non-transitive preference relations, arguing that humans often exhibit non-transitive preferences for the sake of brevity we will omit this issue here.
An approach based on the uncertain LOWG and the induced uncertain LOWG operators to group decision making with uncertain multiplicative linguistic preference relations, Decision Support Systems 41(2): 488-499.
Group decision making based on multiple types of linguistic preference relations, Information Sciences 178(2): 452-467.