DocumentCode
1749251
Title
Fuzzy more isn´t not less; It is not much less
Author
Malhotra, Vishv
Author_Institution
Sch. of Comput., Tasmania Univ., Hobart, Tas., Australia
Volume
2
fYear
2001
fDate
2001
Firstpage
1340
Abstract
Fuzzy values are convenient way for representing measurements that are inherently uncertain. Clearly, two uncertain values can not be compared using the standard greater than operator-fuzziness would render many cases liable to incorrect outcomes. We develop a risk-based model to set a threshold that can be used to minimise risk exposure from incorrect outcomes in comparisons involving fuzzy values
Keywords
fuzzy logic; uncertainty handling; fuzziness; fuzzy values; incorrect outcomes; risk exposure; risk-based model; uncertain measurements; Australia; Computer industry; Computer networks; Costs; Equations; Fuzzy neural networks; Fuzzy sets; Neural networks; Temperature; Thumb;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.939556
Filename
939556
Link To Document