2025-02-23T10:01:46-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-44391%22&qt=morelikethis&rows=5
2025-02-23T10:01:46-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-44391%22&qt=morelikethis&rows=5
2025-02-23T10:01:46-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T10:01:46-05:00 DEBUG: Deserialized SOLR response
Адаптивная система диагностики на основе нечетких отношений

Адаптивная система диагностики на основе нечетких отношений

Causes (diagnoses) are retrieved and identified using observed effects (symptoms) based on fuzzy relations and Zadeh’s compositional rule of inference. An approach to designing adaptive fuzzy diagnostic systems is proposed. It allows solving fuzzy relational equations and designing and adjusting fuz...

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Bibliographic Details
Main Authors: Ротштейн, А.П., Ракитянская, А.Б.
Format: Article
Language:Russian
Published: Інститут кібернетики ім. В.М. Глушкова НАН України 2009
Series:Кибернетика и системный анализ
Subjects:
Системный анализ
Online Access:http://dspace.nbuv.gov.ua/handle/123456789/44391
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Summary:Causes (diagnoses) are retrieved and identified using observed effects (symptoms) based on fuzzy relations and Zadeh’s compositional rule of inference. An approach to designing adaptive fuzzy diagnostic systems is proposed. It allows solving fuzzy relational equations and designing and adjusting fuzzy relations using expert and experimental information.

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