A comparison of fuzzy, stochastic and deterministic methods in linear programming

被引：4

作者：

Lodwick, W ^{[1
]}

Jamison, D ^{[1
]}

Russell, S ^{[1
]}

机构：

[1] Univ Colorado, Dept Math, Denver, CO 80217 USA

来源：

PEACHFUZZ 2000 : 19TH INTERNATIONAL CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS | 2000年

关键词：

D O I：

10.1109/NAFIPS.2000.877445

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper focuses on relationships among some fuzzy, stochastic, and deterministic optimization methods for solving linear programming problems. rn particular, we look at several methods to solve one problem as a means of comparison and interpretation of the solutions among the methods.

引用

页码：321 / 325

页数：5

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