Abstract
In this paper, we have provided some definitions and theorems about fuzzy set, fuzzy set operations, the uncertainty theory used in fuzzy environments, and the credibility theory which exists on the base of the mathematical knowledge. Then, the definition and applications of fuzzy set operations, fuzzification, defuzzification, similarity, credibility distribution were included in diagnostic medicine. Sounds of respiratory patients were transferred to computer by recording and converted into numerical data. In particular, the entropies, similarities, credibility.distributions., expected values of sounds were analyzed using fuzzification and defuzzification methods to analyze respiratory sound data via fuzzy operations and to make sense of uncertain sound data. As the uncertainty of respiratory sounds increased, changes in fuzzy entropy similarity measures and expected credibility values were observed. In addition, a model for uncertain respiratory sounds was created and numerical numbers supported the diagnosis of the physician. Sound data were analyzed and interpreted using fuzzy multipurpose decision methods. Respiratory sounds were shown to be an indicator in diagnosing with the created model.
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In this study, I would like to thank Uzeyir ÇİMEN for recording respiratory sounds, Haydar ÜNSAL for computer drawings, and Nevzat KALAY for English translation.
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Şanlıbaba, İ. Similarity measurement of fuzzy entropies of respiratory sounds and risk measurement according to credibility distributions. Soft Comput 26, 10007–10017 (2022). https://doi.org/10.1007/s00500-022-07415-y
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DOI: https://doi.org/10.1007/s00500-022-07415-y