Conflict Analysis Model and Application based on Intuitionistic Fuzzy Number
Abstract
Purpose – The purpose of this paper is to establish a novel conflict analysis model so that it can well describe and deal with the real conflict problems. Design/methodology/approach – In order to overcome the shortcomings that the agents have only three attitudes with respect to the conflict issues in Pawlak conflict information system, so that it is too stiff to describe and portray the real conflict problems, the thought and methodology of the intuitionistic fuzzy set is employed to soften the agents' attitudes of the conflict issues, and then a novel conflict analysis model is constructed. This method, to begin with, the intuitionistic fuzzy number is used to express the opposition and support degree with respect to the conflict issues from agents, and then the similarity measure method is utilized to define conflict coefficient; what is more, the conflict degrees between any two agents can be obtained, and then the alliances are determined by setting different threshold values. Finally, an example illustrates the validity and rationality of the proposed method. Findings – The novel conflict analysis model proposed in the paper can well describe and resolve a real-life conflict problems such as the conflict of national territory, employee and employer. Research limitations/implications – The proposed model can only do with the conflict problems in which there do not exit the correlations among conflict issues, while it does not cope with the conflict problems with the mutually interrelated conflict issues. Originality/value – The paper succeeds in softening the Pawlak conflict analysis information system, and describing and dealing with the actual conflict problems.
Recommended Citation
Y. Liu et al., "Conflict Analysis Model and Application based on Intuitionistic Fuzzy Number," Kybernetes, vol. 43, no. 7, pp. 1040 - 1052, Emerald, Jul 2014.
The definitive version is available at https://doi.org/10.1108/K-11-2012-0102
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Decision making; Fuzzy logic; Information systems; Intelligent agents; Mathematical modelling
International Standard Serial Number (ISSN)
0368-492X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Emerald, All rights reserved.
Publication Date
29 Jul 2014
