Abstract
One of the important attributes of human thinking and reasoning is fuzziness or vagueness, which mostly arises due to imprecise information. To tackle such kinds of situations, the fuzzy theory came into existence. Keeping in consideration the instances of imprecise data and related situations, we have developed a new generalized two-parametric fuzzy entropy measure that is presented in this paper. A detailed proof of the properties of the new fuzzy entropy model is also discussed in this paper. Further, a deep mathematical evaluation of all the well-known axioms for fuzziness measures is carried out in this research paper.
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Qayoom, B., Baig, M.A.K. (2022). Mathematical Interpretation of Fuzzy Information Model. In: Sharma, T.K., Ahn, C.W., Verma, O.P., Panigrahi, B.K. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-1740-9_37
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DOI: https://doi.org/10.1007/978-981-16-1740-9_37
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