Study on bond selection under intuitionistic fuzzy conditions Academic Article

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.

authors

• Lu, Mi

published proceedings

• JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY

author list (cited authors)

• Zhou, X., Ding, Y., & Lu, M. i.

citation count

• 3

complete list of authors

• Zhou, Xiao-Guang||Ding, Yang-Fan||Lu, Mi

publication date

• August 2018

publisher

• SAGE Publications  Publisher

published in

• Journal of Algorithms and Computational Technology  Journal

keywords

• Analytic Network Process
• Bond Selection
• Fuzzy Decision Making
• Intuitionistic Fuzzy Preference Relation

Digital Object Identifier (DOI)

• 10.1177/1748301818791505

start page

• 376

end page

• 386

volume

• 12

issue

• 4

URL

• http://dx.doi.org/10.1177/1748301818791505