Uncertain Fuzzy Preference Relations and Their Applications

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Issue 1 Issue 2 Issue 3 Issue 4. Issue archive. Hint Swipe to navigate through the articles of this issue Close hint. Important notes. For group decision making, optimization models for determining the weights of the decision makers and for improving the consensus level are established, respectively. Finally, a practical group decision-making problem about evaluating express companies is selected to show the application of the new results. Please log in to get access to this content Log in Register for free.

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Atanassov, K. Intuitionistic fuzzy sets. Fuzzy Sets and Systems, 20, 87— Interval valued intuitionistic fuzzy sets.

2. Fuzzy Set Theory with Graphical Illustrations

Fuzzy Sets and Systems, 31, — Beliakov, G. Aggregation and consensus for preference relations based on fuzzy partial orders. Fuzzy Optimization and Decision Making, 16, — Cabrerizo, F. Soft consensus measures in group decision making using unbalanced fuzzy linguistic information. Soft Computing, 21, — Chen, Z.

Uncertain Power Average Operators for Aggregating Interval Fuzzy Preference Relations - Dimensions

An approach to multiple attribute group decision making based on linguistic intuitionistic fuzzy numbers. International Journal of Computational Intelligence Systems, 8, — Goyal, R. Liu, Z. A probabilistic fuzzy logic system for modeling and control. Linguistic decision making: Tools and applications, Information Sciences,, — Majumdar, P. In: Acharjya D. Adaptation, Learning, and Optimization, vol Springer, Cham. Mardani, A. Decision making methods based on fuzzy aggregation operators: Three decades of review from to International Journal of Information Technology and decision making.

Meghdadi, A. Probabilistic fuzzy logic and probabilistic fuzzy systems. In Fuzzy Systems, Subjective and objective information in linguistic multi-criteria group decision making.

Uncertain Fuzzy Preference Relations and Their Applications

European Journal of Operational Research, 2 , — Peng, J. Information Sciences, , — Pidre, J.

Indifference curve: Completeness, transitivity and non satiation

Probabilistic model for mechanical power fluctuations in asynchronous wind parks. Qi, X. Tackling complex emergency response solutions evaluation problems in sustainable development by fuzzy group decision making approaches with considering decision hesitancy and prioritization among assessing criteria.

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Public Health, 14, Qian, G. Generalized hesitant fuzzy sets and their application in decision support system.

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Knowledge-Based Systems, 37, — Ren, F. A new hesitant fuzzy linguistic topsis method for group multi-criteria linguistic decision making.

Symmetry , 9, A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets. Information Sciences, , 28— Torra, V. Hesitant fuzzy sets, International Journal of Intelligent Systems, 25, — Island, Korea,— Valavanis, K. Probabilistic modeling of intelligent robotic systems. Wang, R. Generalized single-valued neutrosophic hesitant fuzzy prioritized aggregation operators and their applications to multiple criteria decision-making.

Information, 9, Correlation coefficients of probabilistic hesitant fuzzy elements and their applications to evaluation of the alternatives. Symmetry, 9 11 , Wang, J. Soft Computing, 19 2 , — Wang, H. Admissible orders of typical hesitant fuzzy elements and their application in ordered information fusion in multi-criteria decision making.

Information Fusion, 29, 98— Xia, M. Hesitant fuzzy information aggregation in decision making. International Journal of Approximate Reasoning, 52 3 , — Wu, Y. Group decision making based on linguistic distribution and hesitant assessment: Maximizing the support degree with an accuracy constraint, Information Fusion, 41, Xu, Z. A method based on linguistic aggregation operators for group decision making with linguistic preference relations.