Solving Fuzzy Linear Programming Problems with Interval Type-2 RHS.

被引：7
|
作者：
Figueroa Garcia, Juan Carlos [1 ]
机构：
[1] Univ Distrital Francisco Jose Caldas, Lab Automat Microelect & Computat Intelligence LA, Bogota, Colombia
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9 | 2009年
关键词：
LOGIC SYSTEMS;
D O I：
10.1109/ICSMC.2009.5345943
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents two general methods to handle uncertainties in the Right Hand Side parameters of a Linear Programming (LP) model by means of Interval Type-2 Fuzzy Sets (IT2 FS). In this paper, a LP problem with uncertain Right Side parameters treated as Interval Type-2 Fuzzy sets is solved by two optimization strategies: The first one is a type-reduction method and the second one is a pre-defuzzified a cut approach. After the IT2 FS inference process, a real-valued solution must be found. In this way two methods based on classical optimization routines are presented to obtain optimal solutions when uncertain right hand side parameters exist.
引用
收藏
页码：262 / 267
页数：6
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