DocumentCode
3315460
Title
Optimised Generalised Type-2 Join and Meet Operations
Author
Greenfield, Sarah ; John, Robert
Author_Institution
De Montfort Univ., Leicester
fYear
2007
fDate
23-26 July 2007
Firstpage
1
Lastpage
6
Abstract
The inferencing stage of a type-2 fuzzy inferencing system is driven by join and meet operations. As conventionally implemented these algorithms are computationally complex. This article introduces optimised implementations for these operations. These alternative procedures pre-suppose that the grid method of discretisation is adopted. Time comparisons between the alternative and conventional implementations have been undertaken, for join and meet operations coded firstly in isolation, and secondly, within a full prototype type-2 fuzzy inferencing system. The experimental results show that the optimisation affords marked time reduction, particularly under finer discretisation.
Keywords
decision making; fuzzy set theory; inference mechanisms; decision making program; grid method; type-2 fuzzy inferencing system; Computational complexity; Computational intelligence; Fuzzy logic; Fuzzy sets; Fuzzy systems; Geometry; Inference algorithms; Prototypes; Sampling methods; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location
London
ISSN
1098-7584
Print_ISBN
1-4244-1209-9
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2007.4295355
Filename
4295355
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