Interval methods and fuzzy optimization

被引：17

作者：

Lodwick, WA ^{[1
]}

Jamison, KD ^{[1
]}

机构：

[1] UNIV COLORADO,DEPT MATH,DENVER,CO 80217

来源：

INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS | 1997年 / 5卷 / 03期

关键词：

fuzzy/interval number; fuzzy/interval function; fuzzy/interval optimization;

D O I：

10.1142/S0218488597000221

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, we describe interval-based methods for solving constrained fuzzy optimization problems. The class of fuzzy functions we consider for the optimization problems is the set of real-valued functions where one or more parameters/coefficients are fuzzy numbers. The focus of this research is to explore some relationships between fuzzy set theory and interval analysis as it relates to optimization problems.

引用

页码：239 / 249

页数：11

共 16 条

[1]

BUCKLEY JJ, 1995, FUZZY SETS SYSTEMS, V72, P214

[2] FUZZY-REASONING FOR SOLVING FUZZY MATHEMATICAL-PROGRAMMING PROBLEMS [J].