A New Fuzzy Inference Technique for Singleton Type-2 Fuzzy Logic Systems

  • Kwak, Hwan-Joo
  • Kim, Dong-Won
  • Park, Gwi-Tae
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초록

A new fuzzy inference technique is presented to replace the conventional fuzzy inference process of type-2 fuzzy logic systems. Because conventional type-2 fuzzy logic systems demand a large amount of memory, they cannot be used by most embedded systems, which do not have enough memory space. To overcome this problem, a new fuzzy inference technique for singleton type-2 fuzzy logic systems is presented in this paper which designs mapping functions from input variables to firing sets and brings out the firing sets directly without using as much memory.

키워드

type-2 fuzzy logicfuzzy inferenceembedded systemGENETIC ALGORITHMSDESIGNOPTIMIZATIONCONTROLLERS
제목
A New Fuzzy Inference Technique for Singleton Type-2 Fuzzy Logic Systems
저자
Kwak, Hwan-JooKim, Dong-WonPark, Gwi-Tae
DOI
10.5772/51187
발행일
2012-09-24
유형
Article
저널명
International Journal of Advanced Robotic Systems
9