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.
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页码：262 / 267
页数：6
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