A new method for multiattribute decision making based on interval-valued intuitionistic fuzzy sets, PSO techniques and evidential reasoning methodology

Author

Shyi-Ming Chen ; Chu-Han Chiou

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan

Volume

1

fYear

2014

fDate

13-16 July 2014

Firstpage

403

Lastpage

409

Abstract

In this paper, we propose a new multiattribute decision making method based on interval-valued intuitionistic fuzzy sets, particle swarm optimization (PSO) techniques and the evidential reasoning methodology. The proposed methods can overcome the drawbacks of the existing method for multiattribute decision making based on interval-valued intuitionistic fuzzy sets. It provides us with a useful way for multiattribute decision making based on interval-valued intuitionistic fuzzy sets.

Keywords

decision making; fuzzy set theory; inference mechanisms; particle swarm optimisation; PSO techniques; evidential reasoning methodology; interval-valued intuitionistic fuzzy sets; multiattribute decision making method; particle swarm optimization techniques; Abstracts; Evidential reasoning methodology; Interval-valued intuitionistic fuzzy sets; Multiattribute decision making; Particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2014 International Conference on

Conference_Location

Lanzhou

ISSN

2160-133X

Print_ISBN

978-1-4799-4216-9

Type

conf

DOI

10.1109/ICMLC.2014.7009149

Filename

7009149