2006
DOI: 10.1007/11816171_120
|View full text |Cite
|
Sign up to set email alerts
|

Similarity Measure Construction Using Fuzzy Entropy and Distance Measure

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
11
0

Year Published

2007
2007
2014
2014

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 9 publications
(12 citation statements)
references
References 0 publications
1
11
0
Order By: Relevance
“…This similarity measure is exactly same with (2). At this point, we verified the one-to-one relation of distance measure and similarity measure.…”
Section: Ifsupporting
confidence: 60%
See 2 more Smart Citations
“…This similarity measure is exactly same with (2). At this point, we verified the one-to-one relation of distance measure and similarity measure.…”
Section: Ifsupporting
confidence: 60%
“…A view point of data analysis among data groups with similarity and dissimilarity measure has been emphasized on the design distance measure and similarity measure [1,2]. When information analysis of two scattered data group is carrying on, then the scattered data groups can be considered by fuzzy set.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Thus far, numerous researchers have carried out research on deriving similarity measures [11]- [14]. Methods based on fuzzy numbers enable the simple derivation of similarity measures.…”
Section: Introductionmentioning
confidence: 99%
“…However, derived similarity measures are restricted to triangular or trapezoidal membership functions [11], [12]. In contrast, similarity measures based on the distance measure are applicable to general fuzzy membership functions, including nonconvex fuzzy membership functions [13], [14]. The correlation between entropy and similarity for fuzzy sets has been presented from various viewpoints [15].…”
Section: Introductionmentioning
confidence: 99%