Study on bond selection under intuitionistic fuzzy conditions. Issue 4 (December 2018)

• Record Type: Journal Article
• Authors: Zhou, Xiao-Guang; Ding, Yang-Fan; Lu, Mi
• Is Part Of: Journal of algorithms & computational technology. Volume 12:Issue 4(2018)
• Page Start: 376
• Page End: 386
• Publication Date: 2018-12
• Subjects: Bond selection -- intuitionistic fuzzy preference relation -- analytic network process -- fuzzy decision making; Computer algorithms -- Periodicals; Numerical calculations -- Periodicals; Computer algorithms; Numerical calculations; Periodicals; 518.1
• DOI: 10.1177/1748301818791505
• Languages: English
• ISSNs: 1748-3018

Abstract

Intuitionistic fuzzy preference relations can take membership degrees, non-membership degrees, and hesitancy degrees into account during decision making. It has good practicability and flexibility in dealing with fuzzy and uncertain information. As for analytic network process, it is performed by thinking over the interaction and feedback relationships between criteria and indices, so that an effective method is provided for multi-criteria decision making. An index system with network structure for evaluating the bonds is presented, and a comprehensive method by combining the advantages of intuitionistic fuzzy preference relations and analytic network process is proposed to select and rank the bonds. A case study is given by the proposed method as well.