Fuzzy multiple attributes and multiple hierarchical decision making

被引：23

作者：

Hon, CC

Guh, YY

Wang, KM

Lee, ES

机构：

[1] YUAN ZE INST TECHNOL,DEPT IND ENGN,CHUNGLI,TAIWAN

[2] KANSAS STATE UNIV,DEPT IND ENGN,MANHATTAN,KS 66506

来源：

COMPUTERS & MATHEMATICS WITH APPLICATIONS | 1996年 / 32卷 / 12期

关键词：

hierarchical process; Fuzzy Weighted Average (FWA); gradient eigenvector method; group decision making; Multiple Criteria Decision Making (MCDM); fuzzy sets;

D O I：

10.1016/S0898-1221(96)00211-8

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

A procedure is proposed to solve the multiple attributes and multiple hierarchical system under fuzzy environment. The approach is based on: (1) fuzzy representation; (2) hierarchical performance evaluation structure, (3) gradient eigenvector method for rating the fuzzy criteria weighting, and (4) using the max-min paired elimination method for aggregation. To illustrate the approach, an example on the evaluation of teaching performance in higher education is solved.

引用

页码：109 / 119

页数：11

共 6 条

[1]

[Anonymous], 1980, ANAL HIERARCHY PROCE

[2] FUZZY WEIGHTED AVERAGES AND IMPLEMENTATION OF THE EXTENSION PRINCIPLE [J].