Title :
A Novel Kind of Decision of Weight of Multi-attribute Decision-Making Model Based on Bayesian Networks
Author_Institution :
Dept. of Electron. & Comput. Sci., Guilin Univ. of Technol., Guilin
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;
Conference_Titel :
Business and Information Management, 2008. ISBIM '08. International Seminar on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3560-9
DOI :
10.1109/ISBIM.2008.94