A Novel Kind of Decision of Weight of Multi-attribute Decision-Making Model Based on Bayesian Networks

Author

Xuan, Sun

Author_Institution

Dept. of Electron. & Comput. Sci., Guilin Univ. of Technol., Guilin

Volume

2

fYear

2008

fDate

19-19 Dec. 2008

Firstpage

30

Lastpage

33

Abstract

One of hotspot of the existing approaches of multi-attribute decision making model (MADM) is determination of weights. This paper presents a novel kind of decision of weight of multi-attribute decision-making model based on Bayesian networks. Critical technique, dasiaBayesian networkspsila is used to determine value of weights, which combined prior information (other expertspsila knowledge, or numerical simulation etc.) with expertspsila knowledge. This method effectively takes advantage of expertspsila knowledge and avoids the problem with expertspsila subjectivity. An illustrative example is showed to explore the implications of proposed method. The model is valuable for field of multi-attribute decision-making.

Keywords

belief networks; decision making; Bayesian networks; experts´ knowledge; multi-attribute decision-making model; Bayesian methods; Cities and towns; Computer science; Consumer electronics; Decision making; Engineering management; Information management; Numerical simulation; Seminars; Sun; Bayesian networks; Decision of weights; Multi-attribute decision-making based on Bayesian networks(MADM-BN); TOPSIS;

fLanguage

English

Publisher

ieee

Conference_Titel

Business and Information Management, 2008. ISBIM '08. International Seminar on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3560-9

Type

conf

DOI

10.1109/ISBIM.2008.94

Filename

5116414