2025-02-23T10:08:35-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-109761%22&qt=morelikethis&rows=5
2025-02-23T10:08:35-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-109761%22&qt=morelikethis&rows=5
2025-02-23T10:08:35-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T10:08:35-05:00 DEBUG: Deserialized SOLR response
Разробка та дослідження методу індуктивного моделювання з нечіткими вхідними змінними
A method for group data handling in the case of fuzzy inputs is presented. The solution for the problem of supermarket income forecast is offered. The results are compared with the fuzzy method of group data handling.
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | Ukrainian |
| Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2017
|
| Online Access: | http://journal.iasa.kpi.ua/article/view/109761 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|