Title
Application of similarity measures with uncertainty in classification methods
Abstract
In this paper, the problem of measuring the degree of inclusion and similarity measure for interval-valued fuzzy sets is considered. We recall inclusion and similarity measures with uncertainty by using the partial or linear order on intervalvalued fuzzy sets. Moreover, we discuss an influence of inclusion and similarity measures with uncertainty to decision-making algorithm that uses those new measures.
Year
DOI
Venue
2020
10.1109/FUZZ48607.2020.9177841
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Keywords
DocType
ISSN
similarity measures,classification methods,similarity measure,interval-valued fuzzy sets,uncertainty,partial order,linear order
Conference
1544-5615
ISBN
Citations 
PageRank 
978-1-7281-6933-0
0
0.34
References 
Authors
24
5
Name
Order
Citations
PageRank
Barbara Pekala1579.27
Ewa Rak2917.62
Dawid Kosior302.03
Marcin Mrukowicz401.01
Jan G. Bazan529122.71