Hybrid Fuzzy Medical Expert Systems

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Poli Venkata Subba Reddy
Poli Venkata Subba Reddy
1 Sri Venkateswara University

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Expert Systems are intelligent programs of Artificial Intelligence (AI). In many applications, information available to the expert system is incomplete like medical diagnosis. This incomplete information is fuzzy rather than probable. Hybrid fuzzy expert systems (HFMES) combination of different fuzzy expert systems of same type co-ordinate and co-operated. In this paper, Hybrid fuzzy medical expert Systems are studied. Fuzzy inference and fuzzy reasoning are discussed for HFMES Fuzzy knowledge representation is disused for HFMES. Some examples are given for HFMES.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Poli Venkata Subba Reddy. 2019. \u201cHybrid Fuzzy Medical Expert Systems\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 19 (GJCST Volume 19 Issue B2): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-B Classification: I.5.1
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v1.2

Issue date

October 18, 2019

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English

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Expert Systems are intelligent programs of Artificial Intelligence (AI). In many applications, information available to the expert system is incomplete like medical diagnosis. This incomplete information is fuzzy rather than probable. Hybrid fuzzy expert systems (HFMES) combination of different fuzzy expert systems of same type co-ordinate and co-operated. In this paper, Hybrid fuzzy medical expert Systems are studied. Fuzzy inference and fuzzy reasoning are discussed for HFMES Fuzzy knowledge representation is disused for HFMES. Some examples are given for HFMES.

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Hybrid Fuzzy Medical Expert Systems

Poli Venkata Subba Reddy
Poli Venkata Subba Reddy Sri Venkateswara University

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