Incomplete interval valued fuzzy preference relations-Reference-Cited by-同舟云学术

Incomplete interval valued fuzzy preference relations

Published:2016-06 Issue: Volume:348 Page:15-24
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Khalid Asma^ORCID,Beg Ismat

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference33 articles.

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

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

3. Group decision making with incomplete interval-valued fuzzy preference relations based on the minimum operator;Ashraf;Int. J. Comput. Commun. Control,2015

4. Construction of interval-valued fuzzy preference relations from ignorance functions and fuzzy preference relations. Application to decision making;Barrenechea;Knowledge-Based Syst.,2014

5. Decision making with an interval-valued fuzzy preference relation and admissible orders;Bentkowska;Appl. Soft Comput.,2015

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multi-criteria group decision-making method based on consistency of interval-valued distributed preference relations;Information Fusion;2024-07

2. On incomplete matrix information completion methods and opinion evolution: Matrix factorization towards adjacency preferences;Engineering Applications of Artificial Intelligence;2024-07

3. Multiplicative consistency analysis of interval-valued fuzzy preference relations;Information Sciences;2023-06

4. Incomplete pythagorean fuzzy preference relation for subway station safety management during COVID-19 pandemic;Expert Systems with Applications;2023-04

5. Triangular Bounded Consistency of Interval-Valued Fuzzy Preference Relations;IEEE Transactions on Fuzzy Systems;2022-12