Please use this identifier to cite or link to this item: http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/1786
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAlam, Md. Ashraful-
dc.date.accessioned2018-01-20T00:14:06Z-
dc.date.available2018-01-20T00:14:06Z-
dc.date.issued2017-12-25-
dc.identifier.issn2350-0352 (print)-
dc.identifier.urihttp://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/1786-
dc.description.abstractFuzzy Cognitive Maps (FCM) have been applied in many fields successfully to show the causes and effect relationship. In this research work, the relationship between risk factors and symptoms of Diabetes has been analyzed with the help of FCM. FCM is a fuzzy-graph modeling approach based on expert’s opinion. This is the non-statistical approach to study the problems with imprecise information. This paper has foursections. Section one discusses the background of this study, Section two talk about related work, the materials (literature survey of FCM), methods and results analysis are given in Section three, Final section derives the conclusion based on study.en_US
dc.language.isoenen_US
dc.publisherVidyasagar Universityen_US
dc.relation.ispartofseriesJournal of Physical Sciences;JPS-v22-art2-
dc.subjectDiabetes, Fuzzy Cognitive Maps (FCM), Algorithm of FCMen_US
dc.subjectApplied Mathematicsen_US
dc.titleFuzzy Cognitive Maps Approach to Identify Risk Factors of Diabetesen_US
dc.typeArticleen_US
Appears in Collections:Journal of Physical Sciences Vol.22 [2017]

Files in This Item:
File Description SizeFormat 
JPS-v16-art2.pdf144.11 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.