DocumentCode
3530516
Title
FuzzyProbSim: Fuzzy probability as similarity measure
Author
Ralescu, Anca ; Visa, Sofia ; Popovici, Stefana
Author_Institution
CS Dept., Univ. of Cincinnati, Cincinnati, OH, USA
fYear
2010
fDate
12-14 July 2010
Firstpage
1
Lastpage
6
Abstract
This study investigates a unified robust measures of similarity applicable in many domains and across many dimensions of data. Given a distance or discrepancy measure on a domain, the similarity of two values in this domain is defined as the probability that any pair of values from that domain are more different (at a larger distance) than these two values are. Fuzzy sets are introduced to make this definition more sensitive to quantitative difference. Combination across domains is also discussed.
Keywords
fuzzy set theory; probability; FuzzyProbSim; fuzzy probability; fuzzy sets; quantitative difference; similarity measure; Distributed computing; Distribution functions; Educational institutions; Equations; Fuzzy sets; Information processing; Probability distribution; Random variables; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-7859-0
Electronic_ISBN
978-1-4244-7857-6
Type
conf
DOI
10.1109/NAFIPS.2010.5548188
Filename
5548188
Link To Document