Results 21 to 30 of about 155,233 (267)
KPRLN: deep knowledge preference-aware reinforcement learning network for recommendation
Complex & Intelligent Systems, 2023 User preference information plays an important role in knowledge graph-based recommender systems, which is reflected in users having different preferences for each entity–relation pair in the knowledge graph.
Di Wu +4 more
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IEEE Access, 2018 The probabilistic hesitant multiplicative preference relations (PHMPRs) can model the opinions of the decision makers for pairwise comparisons over alternatives using some possible values from Saaty's 1-9 scale with the probability information.
Mingwei Lin +3 more
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Relational Networks of Conditional Preferences [PDF]
Machine Learning, 2012 Much like relational probabilistic models, the need for relational preference models naturally arises in real-world applications involving multiple, heterogeneous, and richly interconnected objects. On the one hand, relational preferences should be represented into statements which are natural for human users to express.
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IEEE Access, 2019 Preference relations are generally used to cope with multi-attribute group decision making (MAGDM), which express the experts’ preference information through pairwise comparisons.
Yuling Zhai, Zeshui Xu, Huchang Liao
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International Journal of Computational Intelligence Systems, 2018 This paper comprises a new iterative method for multi-person decision making based on multiplicative consistency with incomplete reciprocal preference relations (IRPRs). Additionally, multiplicative transitivity property of reciprocal preference relation
Etienne E. Kerre +2 more
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Regression methods for hesitant fuzzy preference relations
Technological and Economic Development of Economy, 2014 In this paper, we develop two regression methods that transform hesitant fuzzy preference relations (HFPRs) into fuzzy preference relations (FPRs). On the basis of the complete consistency, reduced FPRs with the highest consistency levels can be derived ...
Bin Zhu, Zeshui Xu
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International Journal of Computational Intelligence Systems, 2018 This paper proposes a decision support process for incomplete hesitant fuzzy preference relations (HFPRs). First, we present a revised definition of HFPRs, in which the values are not ordered for the hesitant fuzzy element. Second, we propose a method to
Yejun Xu, Caiyun Li, Xiaowei Wen
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On Kemeny Optimization Scheme for Fuzzy Set of Relations
Axioms, 2023 The present paper investigated the aggregation of individual preferences into a group fuzzy preference relation for a fuzzy set of decision-makers (DMs). This aggregation is based on the Kemeny optimization scheme.
Serhii O. Mashchenko +2 more
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Relation between choice-induced preference change and depression.
PLoS ONE, 2017 Most experimental studies of depressive symptom effects on decision-making have examined situations in which a single correct answer exists based on external circumstances (externally guided decision-making, e.g., gambling task).
Madoka Miyagi +2 more
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Incomplete interval fuzzy preference relations for supplier selection in supply chain management
Technological and Economic Development of Economy, 2015 In the analytical hierarchy process (AHP), it needs the decision maker to establish a pairwise comparison matrix requires n(n–1)/2 judgments for a level with n criteria (or alternatives).
Yejun Xu +3 more
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