Group decision making based on incomplete multiplicative and fuzzy preference relations-Reference-Cited by-同舟云学术

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Group decision making based on incomplete multiplicative and fuzzy preference relations

Published:2016-11 Issue: Volume:48 Page:735-744
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Zhang Huimin

Funder

Natural Science Foundation of China

Young Backbone Teacher Plan of Henan High Education Institutions

Innovative Talent Plan of Henan High Education Institutions and the Young Backbone Teacher Training Plan of Henan University of Technology

Logistics Research Center in Henan University of Technology

Publisher

Elsevier BV

Subject

Software

Reference57 articles.

1. A consistency-based procedure to estimate missing pairwise preference values;Alonso;Int. J. Intell. Syst.,2008

2. A web based consensus support system for group decision making problems and incomplete preferences;Alonso;Inf. Sci.,2010

3. A learning procedure to estimate missing values in fuzzy preference relations based on additive consistency;Alonso,2004

4. Individual and social strategies to deal with ignorance situations in multi-person decision making;Alonso;Int/ J. Inf. Technol. Decis. Mak.,2009

5. Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information;Cabrerizo;Knowl. Based Syst.,2010

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1. Neutrosophic multiplicative preference relations based on consensus analysis and additive consistency in group decision making: A goal programming approach;Expert Systems with Applications;2024-03

2. A multi-criteria group decision-making method with fuzzy preference relations based on filtration-and-weighting-based triangular bounded consistency;Journal of the Operational Research Society;2023-10-13

3. Robust and High-Accessibility Ranking Method for Crowdsourcing-Based Decision Making;Group Decision and Negotiation;2023-06-27

4. Additive and Multiplicative Consistency Modeling for Incomplete Linear Uncertain Preference Relations and Its Weight Acquisition;IEEE Transactions on Fuzzy Systems;2021-04

5. Topological Approach on Fuzzy Soft β-Closure and Fuzzy Soft β-Interior and Its Application in Decision Making;Nanoscience and Nanotechnology Letters;2020-11-01

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