An interactive neural network-based approach for solving multiple criteria decision-making problems

被引：28

作者：

Chen, J ^{[1
]}

Lin, S ^{[1
]}

机构：

[1] Tsing Hua Univ, Sch Econ & Management, Res Ctr Contemporary Management, Management Sci Dept, Beijing 100084, Peoples R China

来源：

DECISION SUPPORT SYSTEMS | 2003年 / 36卷 / 02期

基金：

中国国家自然科学基金;

关键词：

multiple criteria analysis; neural networks; interactive procedures;

D O I：

10.1016/S0167-9236(02)00141-0

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new approach for solving multiple criteria decision-making (MCDM) problems is proposed based on Decision Neural Network (DNN). The DNN is used to capture and represent the Decision Maker's (DM's) preference. Then, with DNN, an optimization problem is solved to search for the most desirable solution. Procedures of model modification through an interactive procedure, and model optimization are also discussed. An example is given to illustrate the approach and the result is compared with the Interactive FFANN Procedure [Manage. Sci. 42 (1996)]. The result shows that the DNN approach is an encouraging and robust method for solving MCDM problems. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：137 / 146

页数：10