An enhanced consensus reaching process in group decision making with intuitionistic fuzzy preference relations
TL;DR: An enhanced consensus reaching process for GDM with IFPRs is presented, which only removes some opinions of an expert for alternative(s) instead of removing the expert from the decision group.
About: This article is published in Information Sciences.The article was published on 2016-02-01. It has received 110 citations till now. The article focuses on the topics: Uniform consensus & Group decision-making.
Citations
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TL;DR: A comprehensive Multiple Criteria Group Decision Making (MCGDM) method with probabilistic linguistic information based on a new consensus measure and a novel outranking method, Gained and Lost Dominance Score (GLDS), validated by a case study of selecting optimal green enterprises.
247 citations
TL;DR: A Trust Relationship-based Conflict Detection and Elimination decision making model applicable for Large-scale Group Decision Making (LSGDM) problems in social network contexts is proposed and a new selection method for LSGDM is proposed that determines decision makers’ weights based on their conflict degree.
205 citations
TL;DR: This paper focuses on the consensus reaching process for GDM with PLPRs, which introduces the aggregation operators for the probabilistic linguistic term sets (PLTSs) and an application case about medical information presented on search engine is discussed.
174 citations
TL;DR: This article addresses the inconsistency problem in group decision making caused by disparate opinions of multiple experts by investigating a trust induced recommendation mechanism to generate personalised advices for the inconsistent experts to reach higher consensus level.
Abstract: The visual trust relationship is constructed.A trust induced recommendation mechanism is investigated.It arrives at the threshold value with the high harmony degree simultaneously.An interval-valued trust decision making space is developed to model uncertainty. This article addresses the inconsistency problem in group decision making caused by disparate opinions of multiple experts. To do so, a trust induced recommendation mechanism is investigated to generate personalised advices for the inconsistent experts to reach higher consensus level. The concept of trust degree (TD) is defined to identify the trusted opinion from group experts, and then the visual trust relationship is built to help experts see their own trust preferences within the group. Consequently, trust based personalised advices are generated for the inconsistent experts to revisit their opinions. To model the uncertainty of experts, an interval-valued trust decision making space is defined. It includes the novel concepts of interval-valued trust functions, interval-valued trust score (IVTS) and interval-valued knowledge degree (IVKD). The concepts of consensus degree (CD) between an expert and the rest of experts in the group as well as the harmony degree (HD) between the original opinion and the revised opinion are developed for interval-valued trust functions. Combining HD and CD, a more reasonable policy for group consensus is proposed as it should arrive at the threshold value with the maximum value of harmony and consensus degrees simultaneously. Furthermore, because the trust induced recommendation mechanism focuses on changing inconsistent opinions using only opinions from the trusted experts and not from the distrusted ones, the HD based changes cost to reach the threshold value of consensus is lower than previous mechanisms based on the average of the opinion of all experts. Finally, once consensus has been achieved, a ranking order relation for interval-valued trust functions is constructed to select the most appropriate alternative.
150 citations
Cites background from "An enhanced consensus reaching proc..."
...Inconsistency is usually resolved by consensus process [4, 8, 24, 45, 46, 51] in an effort to achieve a high enough degree of agreement between the set of experts in the group [1, 22, 40, 43, 55]....
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TL;DR: A new two-tier decision making framework with linguistic preferences for scientific decision making is presented, which infer that proposed LBA-IFSP framework is rationally coherent to DMs’ viewpoint, moderately consistent with other methods and highly stable and robust against rank reversal issue.
103 citations
References
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TL;DR: Various properties are proved, which are connected to the operations and relations over sets, and with modal and topological operators, defined over the set of IFS's.
13,376 citations
TL;DR: It is shown that all three parameters describing intuitionistic fuzzy sets should be taken into account while calculating those distances between intuitionistically fuzzy sets.
1,379 citations
TL;DR: F fuzzy preference orderings are defined as fuzzy binary relations satisfying reciprocity and max-min transitivity and those orderings might be useful for proceeding the group decision making process smoothly, in the same manner as the extended contributive rule method.
1,074 citations
TL;DR: A new characterization of the consistency property defined by the additive transitivity property of the fuzzy preference Relations is presented and a method for constructing consistent fuzzy preference relations from a set of n preference data is proposed.
929 citations
"An enhanced consensus reaching proc..." refers methods in this paper
...[10] investigated a new characterization of additive consistent fuzzy preference lation and proposed a method to construct such an additive consistent fuzzy preference relation....
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TL;DR: This paper develops an approach to group decision making based on intuitionistic preference relations and an approach based on incomplete intuitionism preference relations respectively, in which the intuitionistic fuzzy arithmetic averaging operator and intuitionism fuzzy weighted arithmetic averagingoperator are used to aggregate intuitionistic preferences.
781 citations