MGA - A DECISION SUPPORT SYSTEM FOR COMPLEX, INCOMPLETELY DEFINED PROBLEMS

被引：97

作者：

BRILL, ED

FLACH, JM

HOPKINS, LD

RANJITHAN, S

机构：

[1] UNIV ILLINOIS,DEPT URBAN & REG PLANNING,URBANA,IL 61801

[2] UNIV ILLINOIS,DEPT MECH & IND ENGN,URBANA,IL 61801

[3] UNIV ILLINOIS,DEPT CIVIL ENGN,URBANA,IL 61801

[4] USAF,ARMSTRONG AEROSP MED RES LAB,WRIGHT PATTERSON AFB,OH 45433

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS | 1990年 / 20卷 / 04期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/21.105076

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Modeling-to-generate alternatives (MGA) is a technique for using mathematical programming models to generate a small number of different solutions for the decision maker to consider when dealing with complex, incompletely defined problems. The logic of MGA is presented in the context of concerns about the limitations of mathematical models and limitations of the human decisionmakers who use them. Arguments and experimental evidence are presented to support the assumption that the human-machine decisionmaking system will perform better when the human is presented with a few, different alternatives than when presented a homogeneous set of alternatives as might result from sensitivity analysis. © 1990 IEEE

引用

页码：745 / 757

页数：13

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[1] ON KTH BEST POLICIES [J].