Paper Info
Title
Similarity of fuzzy triangular number based on indifference area and its application
Abstract
Fuzzy triangular number was applied in area such as risk assessment and performance evaluation because it can better express fuzzy linguistic terms. There were several approaches to measure the similarity of fuzzy triangular numbers. A new method to measure fuzzy triangular number was put forward based on the location and area of two fuzzy triangular numbers. And it was applied to collaborative filtering recommendation system to measure users' similarity. A case was used to illustrated the proposed method and the result showed that it can obtained better discriminability.
Year
DOI
Venue
2013
10.1007/978-3-642-39479-9_18
ICIC (1)
Keywords
Field
DocType
fuzzy triangular number,recommendation system,better discriminability,indifference area,fuzzy linguistic term,risk assessment,new method,performance evaluation,similarity
Data mining,Pattern recognition,Defuzzification,Fuzzy classification,Computer science,Fuzzy set operations,Fuzzy logic,Fuzzy measure theory,Triangular number,Fuzzy mathematics,Artificial intelligence,Fuzzy number
Conference
Volume
ISSN
Citations 
7995
0302-9743
0
PageRank 
References 
Authors
0.34
3
2
Name
Order
Citations
PageRank
Xixiang Zhang131.15
Jianxun Liu2585.07