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Title: Fuzzy Logics and Medical Diagnosis of Neonatal Assessment at Birth
Authors: Dev, Utpalendu
Sultana, Abeda
Mitra, Nirmal Kanti
Keywords: Resuscitation
Issue Date: 26-Dec-2014
Publisher: Vidyasagar University , Midnapore , West-Bengal , India
Series/Report no.: Journal of Physical Science;19
Abstract: This paper argues that fuzzy representations are appropriate in applications where there are major sources of imprecision and / or uncertainty. Case studies of fuzzy approaches to specific problems of medical diagnosis and classification are described in support of this argument. The solutions use a variety of fuzzy methods including clustering, fuzzy set aggregation and type- 2 fuzzy set modeling of linguistic approximations. It is concluded that the fuzzy approach to the development of artificial intelligence in application systems is beneficial in these contexts because of the need to focus on uncertainty as a main issue.
ISSN: 2350-0352
Appears in Collections:Journal of Physical Sciences Vol.19 [2014]

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