| Title of paper:
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Improved intuitionistic fuzzy composite relation and its application to medical diagnostic process
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| Author(s):
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| P. A. Ejegwa
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| Department of Mathematics, Statistics and Computer Science, University of Agriculture, P.M.B. 2373, Makurdi, Nigeria
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| ocholohi@gmail.com
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| B. O. Onasanya
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| Department of Mathematics, Faculty of Science, University of Ibadan, Nigeria
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| babtu2001@yahoo.com
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| Published in:
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Notes on Intuitionistic Fuzzy Sets, Volume 25 (2019), Number 1, pages 43–58
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| DOI:
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https://doi.org/10.7546/nifs.2019.25.1.43-58
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| Download:
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 PDF (185 Kb Kb, File info)
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| Abstract:
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In this paper, we study the De et al.'s approach for the application of intuitionistic fuzzy relation (i.e., max-min-max composite relation), and improve the approach for better output. The validity of the improved intuitionistic fuzzy composite relation is carried out in comparison to De et al.’s approach using numerical experiments. It is shown that the improved intuitionistic fuzzy composite relation yields a better output. Finally, an application of the improved approach to medical diagnostic process is carried out using a hypothetical medical database. This improved intuitionistic fuzzy composite relation could be used as a sustainable approach in applying intuitionistic fuzzy sets to other real-life decision-making problems.
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| Keywords:
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Fuzzy set, Intuitionistic fuzzy set, Intuitionistic fuzzy relation, Intuitionistic fuzzy medical diagnosis.
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| AMS Classification:
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20N20, 03E72.
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