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ISCI
2007
138views more  ISCI 2007»
14 years 9 months ago
Uncertainty measures for interval type-2 fuzzy sets
Fuzziness (entropy) is a commonly used measure of uncertainty for type-1 fuzzy sets. For interval type-2 fuzzy sets (IT2 FSs), centroid, cardinality, fuzziness, variance and skewn...
Dongrui Wu, Jerry M. Mendel
ICIP
1995
IEEE
15 years 11 months ago
Image enhancement based on fuzzy logic
In this paper enhancement of a digital image is done by detecting the noisy and noiseless region of the image. The noisy regions are smoothed and the noiseless regions are sharpen...
YoungSik Choi, Raghu Krishnapuram
EUSFLAT
2009
137views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Novel Methods for the Design of General Type-2 Fuzzy Sets based on Device Characteristics and Linguistic Labels Surveys
Fuzzy Logic Systems are widely recognized to be successful at modelling uncertainty in a large variety of applications. While recently interval type-2 fuzzy logic has been credited...
Christian Wagner, Hani Hagras
ICLP
2007
Springer
15 years 1 months ago
Computing Fuzzy Answer Sets Using dlvhex
Fuzzy answer set programming has been introduced as a framework that successfully combines the concepts of answer set programming and fuzzy logic. In this paper, we show how the fu...
Davy Van Nieuwenborgh, Martine De Cock, Dirk Verme...
SLOGICA
2008
135views more  SLOGICA 2008»
14 years 9 months ago
A Way to Interpret Lukasiewicz Logic and Basic Logic
Fuzzy logics are in most cases based on an ad-hoc decision about the interpretation of the conjunction. If they are useful or not can typically be found out only by testing them wi...
Thomas Vetterlein