[PDF] Top 20 SIMILARITY MEASURE BETWEEN NEUTROSOPHIC REFINED SETS AND THEIR APPLICATIONS IN MEDICAL DIAGNOSIS

... like medical sciences, economics, engineering ...uncertainty.. Neutrosophic set (NS) is a generalized set of fuzzy set [8] and intuitionistic fuzzy set ...The neutrosophic set, introduced by ...of ... See full document

... neutrosophic refined sets and studied some of their basic ...of neutrosophic refined set (NRS) [38] is a generalization of fuzzy multisets and intuitionistic fuzzy ...cosine ... See full document

... real applications to handle ...fuzzy sets was proposed to capture the uncertainty of grade of ...fuzzy sets which consider both truth-membership and ...the similarity measures of ... See full document

... and Abdul Razak Salleh [14] introduced generalized interval valued fuzzy soft set (GIVFSS). In their generalization of FSS, they attached a degree with the parameterization of fuzzy sets in defining an IVFSS. They ... See full document

... fuzzy sets and approximately equal fuzzy relation ...fuzzy sets A and B are said to be ε-equality if S (A, B) ≥ ε, where S (A, B) is a similarity measure between A and ...relationship ... See full document

... of similarity between fuzzy rough sets, as an imperative subject in fuzzy mathematics, have achieved interest in researchers for their open application of real ...improved similarity ... See full document

... real applications to handle ...So, Neutrosophic set (generalization of fuzzy sets, intuitionistic fuzzy sets and so on) defined by Smarandache [1] has capability to deal with uncertainty, ... See full document

... recognition, medical diagnosis , game theory, coding theory and several problems that contain ...uncertainties. Similarity measure of soft sets [5], similarity measure of ... See full document

... fuzzy similarity measure based on tangent function and applied it to medical ...tangent similarity measure in neutrosophic ...discussed neutrosophic refined ... See full document

... presents neutrosophic and rough neutrosophic ...Jaccard similarity measure for rough neutrosophic sets and studied some of its ...Jaccard similarity measures in ... See full document

... cosine similarity measure between two rough neutrosophic ...rough neutrosophic sets (RNS) will be used as vector representations in 3D-vector ...of neutrosophic ... See full document

... multi sets (FMS), which is the generalization of multi ...multi sets by introducing intuitionistic fuzzy multi sets ...hamming similarity measure between ...valued ... See full document

... gap between mathematical models and uncertainty and their empirical ...gap between a mathematical model and experience is well addressed by Max Black [1] in ...fuzzy sets to the very foundation of ... See full document

... fuzzy sets–except for the pairs where both are ...subsethood measure for intervals [7] can address this unexpected behaviour with fuzzy sets being ...new measure in aggregation and its ... See full document

... Measuring similarity between two data objects is a more challenging problem for data mining and knowledge discovery ...function between the data points to define similarity ...of ... See full document

... introduce neutrosophic feebly frontier of a neutrosophic set using neutrosophic feebly closed ...of neutrosophic feebly open sets, neutrosophic feebly closed sets and ... See full document

... fuzzy sets. Interval-valued fuzzy sets were proposed as a natural extension of fuzzy sets and the interval valued fuzzy sets were proposed independently by Zadeh [19] to ascertain the ... See full document

... 3.10. Definition: Intersection of two neutrosophic soft expert sets. Let ( H A , ) and ( G B , ) be two NSESs over the common universe U. Then the intersection of ( H A , ) and ( G B , ) is denoted by “ ( H ... See full document

... particular medical concept ...map between a social media phrase and a medical ...larity between word vector representations outperforms the baselines that apply only either of them by up to ... See full document

... Let = 〈 , T , ! T , ) T 〉 : ∈ $ and . = 〈 , 4 T , ! 4 T , ) 4 T 〉 : ∈ $ be two IFSs in = : , ; , … , V $, for = 1, 2, . . , . Based on the geometric interpretation of IFSs, Szmidt [17] proposed the following four ... See full document