Multi Criteria Information Fusion for Medical Diagnosis based on m-polar Fuzzy Neutrosophic Generalized Weighted Aggregation Operator
Muhammad Riaz · Masooma Raza Hashmi
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18
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About this ebook
This manuscript offers a progressive mathematical model for medical diagnosis and recovery of the patient’s disease. To manipulate and deal with the hesitations and obscurities of objects and human thinking an innovative notion of m-polar fuzzy neutrosophic set (MPFNS) is inaugurate from the an tecedent concepts of fuzzy neutrosophic set (FNS) and m-polar fuzzy set (MPFS). In this article, we introduce various operations on MPFNS and construct its score functions. We propose generalized
weighted aggregation operator in the context of MPFNNs. A case study based on data fusion for medical diagnosis is present and scrutinize with the help of MPFN data.
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