Cosine Similarity Measure Of Rough Neutrosophic Sets And Its Application In Medical Diagnosis
Year: 2015
Type: article
Abstract: In this paper, we define a rough cosine similarity measure between two rough neutrosophic sets. The notions of rough neutrosophic sets (RNS) will be used as vector representations in 3D-vector space. The rating of all elements in RNS is expressed with the upper and lower approximation operator and the pair of neutrosophic sets which are characterized by truth-membership degree, indeterminacy-membership degree, and falsity-membership degree. A numerical example of the medical diagnosis is provided to show the effectiveness and flexibility of the proposed method.
DOI: 10.5281/zenodo.23041
Authors: Surapati Pramanik, Mondal, Kalyan
Language: English
Topic: Fuzzy and Soft Set Theory
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2990989766