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1
Some Trends in Fuzzy Decision Making
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2
Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics
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3
Consistency improvement with a feedback recommendation in personalized linguistic group decision making
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4
Revisiting Fuzzy and Linguistic Decision-Making: Scenarios and Challenges for Wiser Decisions in a Better Way
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5
Personalized individual semantics-based approach for large scale failure mode and effect analysis with incomplete preference information
Dong, Yucheng; Zhang, Hengjie; Chiclana, Francisco. - : Taylor & Francis Group, 2020
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6
Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts
Abstract: The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. ; As a forward-looking reliability-management engineering technique, failure mode and effect analysis (FMEA) has been widely utilized to improve the reliability of products, processes, systems, and services. In practice, multiple responsible parties for FMEA implementation have different backgrounds, knowledge levels, and opinions. Integrating consensus into FMEA has some notable merits: the connections between FMEA participants can be strengthened, and a collective solution with a high degree of acceptability to the FMEA problem can be yielded. Meanwhile, the social network relationship among FMEA participants should be an essential element in FMEA because the participants’ opinions are subject to influence by each other and likely to evolve due to their social network interactions. Thus, this study first proposes a social network consensus model with minimum adjustment distance to assist FMEA participants in attaining a consensus, in which participants utilize a linguistic distribution assessment approach to represent their opinions. Second, an opinion evolution-based social network consensus model with minimum adjustment distance is further presented by considering the phenomenon of opinion evolution. Finally, some theoretical analyses, a case study, and a detailed comparative analysis are presented to verify the validity of the proposed FMEA approach.
Keyword: consensus; failure mode and effect analysis; opinion evolution; Reliability management; social network
URL: https://dora.dmu.ac.uk/handle/2086/20598
https://doi.org/10.1016/j.ress.2020.107425
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7
Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type-2 Fuzzy Sets
Urena, Raquel; Kou, Gang; Wu, Jian. - : Wiley, 2019
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8
An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and Fusion: Taxonomy and future directions
Cong-Cong, Li; Dong, Yucheng; Xu, Yejun. - : Elsevier, 2018
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9
An interaction consensus in group decision making under distributed trust information
Lifang Dai; Wu, Jian; Chiclana, Francisco. - : IOS Press, 2017
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10
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust
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11
Type-1 OWA Unbalanced Fuzzy Linguistic Aggregation Methodology. Application to Eurobonds Credit Risk Evaluation
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12
Linguistic multi-criteria decision-making model with output variable expressive richness
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13
Aggregation of Unbalanced Fuzzy Linguistic Information in Group Decision Problems based on Type-1 OWA Operator.
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14
Consistency based completion approaches of incomplete preference relations in uncertain decision contexts.
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15
Trust Based Consensus Model for Social Network in an Incomplete Linguistic Information Context
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16
Visual consensus feedback mechanism for group decision making with complementary linguistic preference relations
Chiclana, Francisco; Wu, Jian; Herrera-Viedma, Enrique. - : Springer International Publishing Switzerland, 2014
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17
Consistency based estimation of fuzzy linguistic preferences. The case of reciprocal intuitionistic fuzzy preference relations
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18
Group decision-making with incomplete fuzzy linguistic preference relations.
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19
A selection process to deal with incomplete fuzzy preference relations in a 2-tuple fuzzy linguistic approach
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20
A procedure to estimate missing information in group decision-making with fuzzy linguistic information
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