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Decision Making for Medical Diagnosis Through Credibility Theory

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Recent Advances in Intelligent Information Systems and Applied Mathematics (ICITAM 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 863))

Abstract

The area of medical diagnosis becomes more important and interesting for application of fuzzy variables due to imprecise, vague, uncertain character of medical information and documentation as well. Although numerous studies have been encountered in recent decades, however most of the studies lead to counterintuitive output more often. Keeping this in mind, this article presents an effort to carry out medical diagnosis using credibility distribution and for this purpose an algorithm has been formulated. It is observed that the present approach provides realistic and analytically correct result which also tallies with human intuition.

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Authors and Affiliations

  1. Department of Mathematics, Dibrugarh University, Dibrugarh, 786004, India

    Palash Dutta & Tazid Ali

Authors
  1. Palash Dutta
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  2. Tazid Ali
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Correspondence to Palash Dutta .

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Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  2. Haldia Institute of Technology, Haldia, West Bengal, India

    Dipak Kumar Jana

  3. Maulana Abul Kalam Azad University of Technology, Haringhata, India

    Debasis Giri

  4. Haldia Institute of Technology, Haldia, India

    Arif Ahmed

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Dutta, P., Ali, T. (2020). Decision Making for Medical Diagnosis Through Credibility Theory. In: Castillo, O., Jana, D., Giri, D., Ahmed, A. (eds) Recent Advances in Intelligent Information Systems and Applied Mathematics. ICITAM 2019. Studies in Computational Intelligence, vol 863. Springer, Cham. https://doi.org/10.1007/978-3-030-34152-7_54

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