Solving linear programming problems with Interval Type-2 fuzzy constraints using interval optimization

被引：0

作者：

Figueroa Garcia, Juan Carlos ^{[1
]}

Hernandez, German ^{[1
]}

机构：

[1] Univ Nacl Colombia, Bogota, Colombia

来源：

PROCEEDINGS OF THE 2013 JOINT IFSA WORLD CONGRESS AND NAFIPS ANNUAL MEETING (IFSA/NAFIPS) | 2013年

关键词：

LOGIC SYSTEMS;

D O I：

暂无

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 shows the use of interval optimization models to solve linear programming problems with Interval Type-2 fuzzy constraints. The concept of alpha-cut of an Interval Type-2 fuzzy set is used to find optimal solutions to uncertain optimization problems. A detailed explanation of the obtained results and an application example are provided.

引用

页码：623 / 628

页数：6

共 19 条

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