Hybrid Fuzzy Medical Expert Systems

Poli Venkata Subba Reddy

Hybrid Fuzzy Medical Expert Systems

Poli Venkata Subba Reddy * §

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Sri Venkateswara University

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Abstract

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.

References

16 Cites in Article

Reference Format

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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.

How to Cite This Article

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

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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

Keywords

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Classification

GJCST-B Classification I.5.1

Submission ReceivedDecember 16, 2018
Peer Review Double Blind
Handling Editor
Accepted January 2, 2019
Published January 15, 2019

Version of record

v1.2

Issue date

October 18, 2019

Language

English

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Article Matrices

Total Score: 141

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Poli Venkata Subba Reddy (PhD/Dr. count: 0)

View Count (all-time): 515

Total Views (Real + Logic): 1836

Total Downloads (simulated): 100

Publish Date: 2019 01, Tue

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Total Views: 1.8K

Total Downloads: 100

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