Download PDFOpen PDF in browserAn Integrated Fuzzy-Entropy Method for Evaluating the Efficacy of Hybrid Nanocomposites in Biomedical ApplicationsEasyChair Preprint 1423010 pages•Date: July 30, 2024AbstractHybrid nanocomposites have garnered significant attention in biomedical applications due to their unique properties, which combine the benefits of organic and inorganic materials. These materials offer enhanced mechanical strength, biocompatibility, and multifunctional capabilities, making them ideal for a wide range of medical applications, including drug delivery, tissue engineering, and diagnostic imaging. However, evaluating the efficacy of these nanocomposites in a systematic and reliable manner poses a significant challenge due to the complexity and variability of biomedical environments. This study proposes an integrated fuzzy-entropy method as a novel approach to evaluate the efficacy of hybrid nanocomposites in biomedical applications. The fuzzy- entropy method combines fuzzy logic with entropy measures to handle the uncertainty and imprecision inherent in biomedical data. Fuzzy logic provides a framework for dealing with the vagueness and subjectivity in expert opinions, while entropy measures quantify the amount of disorder or uncertainty in the data. The proposed method involves the following steps: (1) defining a set of evaluation criteria based on the key properties and performance indicators of hybrid nanocomposites; (2) employing fuzzy logic to assign weights to these criteria, reflecting their relative importance and the uncertainty in expert judgments; (3) using entropy measures to analyze the degree of variation and uncertainty in the evaluation data; and (4) integrating the fuzzy weights and entropy values to compute a comprehensive efficacy score for each nanocomposite. This integrated approach allows for a more nuanced and robust assessment of hybrid nanocomposites, considering both qualitative and quantitative aspects of their performance. Keyphrases: Applications, Biomedical, Hybrid, Integrated, Nanocomposites, fuzzy entropy
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