A note on the fuzzy weighted additive rule

被引：11

作者：

Park, KS

Kim, SH

机构：

[1] KOREA ADV INST SCI & TECHNOL,DEPT MANAGEMENT INFORMAT SYST,DONGDAEMUN,SEOUL,SOUTH KOREA

[2] KOREA ADV INST SCI & TECHNOL,DEPT IND ENGN,YUSONG,TAEJON,SOUTH KOREA

来源：

FUZZY SETS AND SYSTEMS | 1996年 / 77卷 / 03期

关键词：

aggregation; fuzzy opinion; weights; quadratic programming;

D O I：

10.1016/0165-0114(95)00070-4

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The characteristic or attribute of a fuzzy weighted additive rule (FWAR) is presented. FWAR has provided a method of assessing weights for criteria based on the fuzzy opinions of experts. The method is to elicit weights for aggregating the fuzzy sets of Type 1 and Type 2 by using quadratic programming. But FWAR has not expressed a specific description on the information of experts' overall evaluations for alternatives. If the style of experts' overall evaluations is characterized as linear additive weighting of the performances of alternative for criterion, then the optimal aggregated value of the given performances of alternative is given by the arithmetic mean of the experts' overall evaluations, without solving time-consuming quadratic programming in FWAR.

引用

页码：315 / 320

页数：6