A new method for multiattribute decision making using interval-valued intuitionistic fuzzy values

Author

Chen, Shyi-Ming ; Lee, Li-wei

Author_Institution

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

Volume

1

fYear

2011

fDate

10-13 July 2011

Firstpage

148

Lastpage

153

Abstract

This paper presents a new multiattribute decision making method based on intuitionistic fuzzy values. First, we briefly review the concepts of interval-valued intuitionistic fuzzy sets and the Karnik-Mendel algorithms. Then, we propose the interval-valued intuitionistic fuzzy weighted average operator, based on the traditional weighted average method and the Karnik-Mendel algorithms. Then, we propose a fuzzy ranking method for intuitionistic fuzzy values based on likelihood-based comparison relations between intervals. Finally, we present a new method for multiattribute decision making based on the proposed interval-valued intuitionistic fuzzy weighted average operator and the proposed fuzzy ranking method for intuitionistic fuzzy values.

Keywords

decision making; fuzzy set theory; Karnik-Mendel algorithms; fuzzy ranking method; interval valued intuitionistic fuzzy values; multiattribute decision making; Companies; Computers; Cybernetics; Decision making; Fuzzy sets; Machine learning; Risk analysis; Interval-valued intuitionistic fuzzy sets; Interval-valued intuitionistic fuzzy weighted average operator; Karnik-Mendel algorithms; Likelihood-based comparison relations; Multiattribute decision making;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2011 International Conference on

Conference_Location

Guilin

ISSN

2160-133X

Print_ISBN

978-1-4577-0305-8

Type

conf

DOI

10.1109/ICMLC.2011.6016695

Filename

6016695