Results 11 to 20 of about 1,724 (163)
Fuzzy incomplete linguistic preference relations
Soft Computing, 2022 The effectiveness of preference relations in modeling decision-making processes makes it one of the most common representations of information use for solving decision-making problems. This research presents the fuzzy incomplete linguistic preference relations (Fuzzy InLinPreRa) approach as evaluated by decision-makers dealing with increasing ...
Tien-Chin Wang, Shu-Li Huang
openaire +2 more sources
Decomposition and Arrow-Like Aggregation of Fuzzy Preferences
Mathematics, 2020 We analyze the concept of a fuzzy preference on a set of alternatives, and how it can be decomposed in a triplet of new fuzzy binary relations that represent strict preference, weak preference and indifference.
Armajac Raventós-Pujol +2 more
doaj +1 more source
Fusion of heterogeneous incomplete hesitant preference relations in group decision making
International Journal of Computational Intelligence Systems, 2016 In this paper, we focus on the fusion of heterogeneous incomplete hesitant preference relations (including hesitant fuzzy preference relations and hesitant multiplicative preference relations) under group decision making settings.
Zhen Zhang, Chonghui Guo
doaj +1 more source
New Transitivity of Atanassov’s Intuitionistic Fuzzy Sets in a Decision Making Model
International Journal of Applied Mathematics and Computer Science, 2021 Atanassov’s intuitionistic fuzzy sets and especially his intuitionistic fuzzy relations are tools that make it possible to model effectively imperfect information that we meet in many real-life situations.
Pękala Barbara +2 more
doaj +1 more source
Mathematics, 2023 This study describes a consistency-based approach for multiperson decision-making (MPDM) in which decision-makers’ suggestions are expressed as incomplete interval-valued fuzzy preference relations. The presented approach utilizes Lukasiewicz’s t-norm in
Xiaodong Yu +4 more
doaj +1 more source
Compatibility measurement-based group decision making with interval fuzzy preference relations
Journal of Algorithms & Computational Technology, 2017 In this paper, we put forward a ratio-based compatibility degree between any two ]0,1[-valued interval numbers to measure how proximate they approach to each other.
Xue-Yang Zhang, Zhou J Wang
doaj +1 more source
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
doaj +1 more source
A new type of preference relations: Fuzzy preference relations with self-confidence [PDF]
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 Preference relations are very useful to express decision makers' preferences over alternatives in the process of decision-making. However, multiple self-confidence levels are not considered in existing preference relations. In this study, we propose a new type of preference relations: fuzzy preference relations with self-confidence.
Wenqi Liu +4 more
openaire +2 more sources
Fuzzy Goal Programming with an Imprecise Intuitionistic Fuzzy Preference Relations [PDF]
Symmetry, 2020 Fuzzy goal programming (FGP) is applied to solve fuzzy multi-objective optimization problems. In FGP, the weights are associated with fuzzy goals for the preference among them. However, the hierarchy within the fuzzy goals depends on several uncertain criteria, decided by experts, so the preference relations are not always easy to associate with weight.
Abdul Razzaq Abdul Ghaffar +3 more
openaire +1 more source
Technology Selection For Construction Project, With The Use Of Fuzzy Preference Relation
Archives of Civil Engineering, 2015 Article deals with the problem of technology selection for construction project. Three criteria were proposed: cost, time and technological complexity. To solve the problem, fuzzy preference relations were used.
Ibadov N., Rosłon J.
doaj +1 more source