Algorithms for a Generalized Multipolar Neutrosophic Soft Set with Information Measures to Solve Medical Diagnoses and Decision-Making Problems

The aim of this paper is to propose the generalized version multipolar neutrosophic soft set with operations and basic properties. Here, we define AND, OR, Truth-Favorite, False-Favorite operators along their Also, necessity possibility for them. Later on, extend it solve decision-making problems, some information measures such as distance, similarity, correlation coefficient set. Several desirable properties relationship between them are derived. Finally, based on these measures, a algorithm stated under environment tackle uncertain vague information. applicability proposed demonstrated through case study medical-diagnosis problems. A comparative analysis several existing studies reveals effectiveness approach.