The Evidential Reasoning Approach for Multiple Attribute Decision Analysis Using Intuitionistic Fuzzy Information

Author

Qian, Gang ; Qian, Xiaohua

Author_Institution

Coll. of Math. & Comput. Sci., Nanjing Normal Univ., Nanjing

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

5

Abstract

The evidential reasoning (ER) approach is a method for multiple attribute decision analysis (MADA) under uncertainties. It improves the insightfulness and rationality of a decision making process by using a belief decision matrix (BDM) for problem modelling and the Dempster-Shafer (D-S) theory of evidence for attribute aggregation. While in reality, several types of uncertainties such as fuzziness may be provided. So in this paper, one of the types-intuitionistic fuzzy number will be investigated. The provided assessment information will be given using intutionistic fuzzy information. First, the evidential reasoning approach and the intuitionistic fuzzy information will be introduced. Then, the intuitionistic fuzzy information will be incorporated into the ER theory and the process will also be provided. At the end, a numerical example is examined.

Keywords

case-based reasoning; decision making; fuzzy logic; operations research; Dempster-Shafer theory; belief decision matrix; decision making process; evidential reasoning; intuitionistic fuzzy information; multiple attribute decision analysis; Algorithm design and analysis; Computer science; Decision making; Educational institutions; Erbium; Fuzzy reasoning; Fuzzy sets; Information analysis; Mathematics; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.2783

Filename

4680972