dc.contributor.author |
Öztürk, Mehmet Ali |
|
dc.contributor.author |
İnan, Ebubekir |
|
dc.contributor.author |
Tekin, Özlem |
|
dc.contributor.author |
Peters, James |
|
dc.date.accessioned |
2025-02-24T11:53:09Z |
|
dc.date.available |
2025-02-24T11:53:09Z |
|
dc.date.issued |
2019 |
|
dc.identifier.issn |
0941-0643 |
|
dc.identifier.uri |
http://dspace.adiyaman.edu.tr:8080/xmlui/handle/20.500.12414/5870 |
|
dc.description.abstract |
This paper introduces fuzzy Lodato-Smirnov proximal relator spaces. We define fuzzy proximity relation to evaluate the proximity of the sets. Also, it is shown that the max-min composition of fuzzy proximity relations is associative and the Smirnov proximity measure on the Lodato proximity space is a fuzzy spatial Lodato proximity relation. Fuzzy proximity relation approach can be applied to some problems. Therefore, it is used to solve a few issues such as precise sorting of near sets, solution of classification problems and given examples for the problems. |
tr |
dc.language.iso |
en |
tr |
dc.publisher |
SPRINGER |
tr |
dc.subject |
Proximity space |
tr |
dc.subject |
Relator space |
tr |
dc.subject |
Fuzzy relation |
tr |
dc.subject |
Fuzzy proximity |
tr |
dc.title |
Fuzzy proximal relator spaces |
tr |
dc.type |
Article |
tr |
dc.contributor.authorID |
0000-0002-1721-1053 |
tr |
dc.contributor.authorID |
0000-0002-7269-8941 |
tr |
dc.contributor.authorID |
0000-0001-9223-6149 |
tr |
dc.contributor.department |
Adiyaman Univ, Fac Arts & Sci, Dept Math, |
tr |
dc.contributor.department |
Univ Manitoba, Dept Elect & Comp Engn, Computat Intelligence Lab |
tr |
dc.identifier.endpage |
3210 |
tr |
dc.identifier.issue |
7 |
tr |
dc.identifier.startpage |
3201 |
tr |
dc.identifier.volume |
31 |
tr |
dc.source.title |
NEURAL COMPUTING & APPLICATIONS |
tr |