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Managing Group Decision Making criteria values using Fuzzy Ontologies
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Consensus-Based Decision Support Model and Fusion Architecture for Dynamic Decision Making
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In: Electrical and Computer Engineering Publications (2022)
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Abstract:
This work is devoted to the design of a novel consensus-based decision model to support decision situations with dynamic set of solution alternatives. The proposed model makes use of a dynamic group decision-based feedback mechanism for constructing the collective linguistic assessments of multiple groups of decision makers that are expressed in terms of Z-numbers. By employing the developed operational tools for Z-numbers, a consensus reaching process is then developed for each group of decision makers by resorting to their attitudinal trust relationships. It is proposed to determine the adaptive level of consensus in each group through graph analytics of the consensus evolution network of the group. A fusion model that benefits from an optimal and dynamic weight-assigning mechanism is finally constructed in the selection process to aggregate the assessments of decision makers. The effectiveness of the proposed model is verified by addressing the fault location problem in a large-scale system.
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Keyword:
Adaptive Consensus Models; Dynamic Decision Support Systems; Group Decision Making; Power Distribution Systems
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URL: https://doi.org/10.1016/j.ins.2022.03.040 https://scholar.uwindsor.ca/electricalengpub/66
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Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics
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Consistency improvement with a feedback recommendation in personalized linguistic group decision making
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Consistency Improvement With a Feedback Recommendation in Personalized Linguistic Group Decision Making
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The risk assessment of construction project investment based on prospect theory with linguistic preference orderings
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Revisiting Fuzzy and Linguistic Decision-Making: Scenarios and Challenges for Wiser Decisions in a Better Way
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Personalized individual semantics-based approach for large scale failure mode and effect analysis with incomplete preference information
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Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts
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Using Multi-granular Fuzzy Linguistic Modelling Methods to Represent Social Networks Related Information in an Organized Way
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A comparison between Fuzzy Linguistic RFM Model and traditional RFM model applied to Campaign Management. Case study of retail business.
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Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology
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Dealing with incomplete information in linguistic group decision making by means of Interval Type‐2 Fuzzy Sets
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In: ISSN: 0884-8173 ; EISSN: 1098-111X ; International Journal of Intelligent Systems ; https://www.hal.inserm.fr/inserm-03026626 ; International Journal of Intelligent Systems, Wiley, 2019, 34 (6), pp.1261-1280. ⟨10.1002/int.22095⟩ (2019)
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Dealing with Incomplete Information in Linguistic Group Decision Making by Means of Interval Type-2 Fuzzy Sets
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A risk-aware fuzzy linguistic knowledge-based recommender system for hedge funds
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Expanding Grey Relational Analysis With the Comparable Degree for Dual Probabilistic Multiplicative Linguistic Term Sets and Its Application on the Cloud Enterprise
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A Fuzzy Linguistic RFM Model Applied to Campaign Management
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Using clustering methods to deal with high number of alternatives on Group Decision Making
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An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and Fusion: Taxonomy and future directions
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