Work

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

Year: 2024

Type: article

Abstract: \nRough 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.\n

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/itmconf/20246701026/pdf

Authors: Suriana Alias, Daud Mohamad, Adibah Shuib, Norzieha Mustapha, Roliza Md Yasin, Nazhatul Sahima Mohd Yusoff, Said Broumi

Institutions: Universiti Teknologi MARA System, Universiti Teknologi MARA, University of Hassan II Casablanca

Language: English

Topic: Fuzzy and Soft Set Theory

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W6959333128

FWCI:

Cites:

Cited by:

Related to: