Investigation of the Brain Carcinoma Based on Generalized Variation Coefficient Similarity Measures Using Complex q-Rung Orthopair Fuzzy Information

Abstract Background/ introduction : To analyze the symptoms of brain cancer in the presence of the strategic decision-making method under the consideration of human cognitive process, and its basic idea is to divide a universal set into three pair-wise disjoint regions to cognitive information processing. As the ambiguity and complexity of the decision-making environment, cognitive information about alternatives given by decision-makers is ambiguous and contradictory. Brain Carcinoma is one of the massive dangerous diseases in the human body and certain intellectuals have been affected by them. Methods A bunch of intellectuals has generalized the concept of fuzzy set, but the methodology of complex q-rung orthopair fuzzy set (Cq-ROFS) has gotten a huge attraction from different scholars. In the presence of the above theory, this study aims to employ the principle of variation coefficient and generalized variation coefficient similarity measures for Cq-ROFSs and exemplify their properties. To analyze the supremacy and dominancy of the invented measures, we demonstrated their special cases and some results. Results In the consideration of the presented generalized variation coefficient similarity measures for complex q-rung orthopair fuzzy information, a medical diagnosis is illustrated in the presence of the invented measures is to diagnose the most dangerous sorts of brain carcinoma in the human body. Conclusions Various examples are illustrated in the consideration of the invented works for Cq-ROFS are to diagnose the advantages and sensitive analysis of the initiated measures to exemplify the rationality and power of the developed measures.