Geometric Type-1 and Type-2 Fuzzy Logic Systems
IEEE Transactions on Fuzzy SystemsPublished 1 February 2007
Simon Coupland, Robert John
Citations321
SJR quartileQ1
SJR score3.61
SNIP2.80
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TL;DR
This paper provides new algorithms for various operations on type-1 and type-2 fuzzy sets and for defuzzification and indicates that this approach reduces the execution speed of these operations.
Abstract
This paper presents a novel approach to the representation of type-1 and type-2 fuzzy sets utilising computational geometry. To achieve this our approach borrows ideas from the field of computational geometry and applies these techniques in the novel setting of fuzzy logic. We provide new algorithms for various operations on type-1 and type-2 fuzzy sets and for defuzzification. Results of experiments indicate that this approach reduces the execution speed of these operations
Keywords
Computer Science
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