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Diagnosis of lumbar degenerative disc disease by using L^(p)-spaces related to generalized interval-valued m-polar neutrosophic choquet integral Operator

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摘要 Innovative and astonishing developments in the field of spine analysis can commence with this manuscript.The lumbar disks(L1−L2 to L5−S1)are most commonly impaired by degeneration due to their long-standing degeneration and associated strain.We investigate the indications,purposes,risk factors,and therapies of lumbar degenerated disc disease(L-DDD).We assume that the degeneration of five discs creates many effects,making it difficult to differentiate between the different types of degenerated discs and their seriousness.Since the indeterminacy and falsity portions of science or clinical diagnosis are often ignored.Due to this complexity,the reliability of the patient’s progress report cannot be calculated,nor can the period of therapy be measured.The revolutionary concept of interval-valued m-polar neutrosophic Choquet integral aggregation operator(IVmPNCIAO)is proposed to eliminate these problems.We associate generalized interval-valued m-polar neutrosophic Choquet integral aggregation operator(GIVmPNCIAO)with the statistical formulation of L^(p)-spaces and use it to identify the actual kind of degenerative disc in the lumbar spine.For the classification of interval-valued m-polar neutrosophic numbers(IVMPNNs),we set the ranking index and score function.These concepts are appropriate and necessary in order to better diagnose degeneration by associating it with mathematical modeling.We construct a pre-diagnosis map based on the fuzzy interval[0,1]to classify the types of degenerative discs.We develop an algorithm by using GIVmPNCIAO based on interval-valued m-polar neutrosophic sets(IVMPNNs)to identify the degenerative disc appropriately and to choose the most exquisite treatment for the corresponding degeneration of every patient.Furthermore,we discuss the sensitivity analysis with parameter p in GIVmPNCIAO to investigate the patient’s improvement record.
出处 《International Journal of Biomathematics》 SCIE 2021年第8期85-127,共43页 生物数学学报(英文版)
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