Fuzzy Reinforcement Learning using Neural Network: An Application to Medical Diagnosis and Business Intelligence

Fuzzy Reinforcement Learning using Neural Network: An Application to Medical Diagnosis and Business Intelligence

Venkata Subba Reddy Poli

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Poli Venkata Subba Reddy

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Sri Venkateswara University

Fuzzy Reinforcement Learning using Neural Network: An Application to Medical Diagnosis and Business Intelligence

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Abstract

The information available to the system is incomplete in many applications, particularly in Decision Support Systems. The fuzzy logic deals incomplete information with belief rather than likelihood (probability). Sometimes the decision has to be taken with fuzzy information. In this paper, fuzzy machine learning is studied for decision support systems. The fuzzy Decision set is defined with two-fold fuzzy set. The fuzzy inference is studied with fuzzy neural network for fuzzy Decision sets. Business application is given as application.

References

13 Cites in Article

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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.

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Not applicable for this article.

How to Cite This Article

Venkata Subba Reddy Poli. 2021. \u201cFuzzy Reinforcement Learning using Neural Network: An Application to Medical Diagnosis and Business Intelligence\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 21 (GJCST Volume 21 Issue D2).

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GJCST Volume 21 Issue D2

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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-D Classification F.1.1

Submission ReceivedJune 11, 2021
Peer Review Double Blind
Handling Editor
Accepted July 1, 2021
Published July 15, 2021

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v1.2

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September 1, 2021

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