Rough Neutrosophic Multisets Geometric Aggregation Operator with Entropy Weight Combined Roughness Dice Similarity Measure and Its Application

Rough neutrosophic multisets (RNM) is an uncertainty set theory generalized from the rough neutrosophic set. In the same equivalence relation, the universal set is a neutrosophic multisets with boundary regions involving lower and upper approximation. To date, to handle the multiplicity of informati...

Full description

Saved in:
Bibliographic Details
Published in:ITM Web of Conferences 2024-01, Vol.67, p.01026
Main Authors: Alias, Suriana, Daud Mohamad, Shuib, Adibah, Norzieha Mustapha, Roliza Md Yasin, Nazhatul Sahima Mohd Yusoff, Broumi, Said
Format: Article
Language:English
Subjects:
Entropy
Roughness
Set theory
Similarity
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Rough neutrosophic multisets (RNM) is an uncertainty set theory generalized from the rough neutrosophic set. In the same equivalence relation, the universal set is a neutrosophic multisets with boundary regions involving lower and upper approximation. To date, to handle the multiplicity of information collected, the rough neutrosophic multisets geometric aggregation operator (RNMGAO) is introduced. The algebraic operations of RNM used in the derivation of RNMGAO are defined. The entropy measure of RNM is also discussed as a weighted assign for each criterion simultaneously with the geometric aggregation operator. The roughness Dice similarity measure of RNM is combined in methodology for ranking purposed. The application in medical diagnosis of three epidemic diseases Coronavirus, Influenza, and Pneumonia is implemented as a case study.
ISSN:2431-7578
2271-2097
DOI:10.1051/itmconf/20246701026