Model for Selecting an ERP system based on IIFWA operator under interval-valued intuitionistic fuzzy environment

Author

Wang, Hongjun

Author_Institution

Dept. of Econ. & Manage., Chongqing Univ. of Arts & Sci., Chongqing, China

fYear

2009

fDate

15-16 May 2009

Firstpage

390

Lastpage

393

Abstract

With respect to multiple attribute decision making problems with interval-valued intuitionistic fuzzy information, some operational laws of interval-valued intuitionistic fuzzy numbers, score function and accuracy function of interval-valued intuitionistic fuzzy numbers are introduced. We utilize the interval-valued intuitionistic fuzzy weighted averaging (IIFWA) operator to aggregate the interval-valued intuitionistic fuzzy information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally, an illustrative example about selecting an ERP system is given to verify the developed approach and to demonstrate its practicality and effectiveness.

Keywords

decision making; enterprise resource planning; fuzzy set theory; mathematical operators; number theory; ERP system; IIFWA operator; accuracy function; decision making problem; fuzzy number theory; interval-valued intuitionistic fuzzy weighted averaging operator; score function; Aggregates; Automation; Companies; Databases; Enterprise resource planning; Fuzzy sets; Fuzzy systems; Industrial economics; Mechatronics; Packaging; attribute weight; interval-valued intuitionistic fuzzy numbers; interval-valued intuitionistic fuzzy weighted averaging (IIFWA) operator; operational laws;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3817-4

Type

conf

DOI

10.1109/ICIMA.2009.5156645

Filename

5156645