Choice of Implication Functions to Reduce Uncertainty in Interval Type-2 Fuzzy Inferences View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Sumantra Chakraborty , Amit Konar , Ramadoss Janarthanan

ABSTRACT

Selection of implication function is a well-known problem in Type-1 fuzzy reasoning. Several comparison of type-1 implications have been reported using set of (nine) standard axioms. This paper attempts to select the most efficient implication function that results in minimum uncertainty in the interval type-2 inference. An analysis confirms that Lukasiewicz-1/Lukasiewicz-2 membership function is most efficient in the present context. More... »

PAGES

369-376

Book

TITLE

Advanced Computing, Networking and Informatics- Volume 1

ISBN

978-3-319-07352-1
978-3-319-07353-8

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-07353-8_43

DOI

http://dx.doi.org/10.1007/978-3-319-07353-8_43

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052073787


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