A new type of preference relations: Fuzzy preference relations with self-confidence

Date

2016

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

IEEE

Type

Conference

Peer reviewed

Yes

Abstract

Preference relations are very useful to express decision makers’ preferences over alternatives in the process of decision-making. However, multiple self-confidence levels are not considered in existing preference relations. In this study, we propose a new type of preference relations: fuzzy preference relations with self-confidence. A linear programming model is proposed for estimating priority vectors of this new type of preference relations. Finally, two numerical examples are provided to demonstrate the linear programming model, and a comparative analysis is used to show the influence of self-confidence levels on the decision-making results.

Description

Keywords

Citation

Li, Q. et al. (2016) A new type of preference relations: Fuzzy preference relations with self-confidence. Accepted for presentation at FUZZ-IEEE2006 (WCCI2016).

Rights

Research Institute

Institute of Artificial Intelligence (IAI)