Some Linear Diophantine Fuzzy Similarity Measures and Their Application in Decision Making Problem

The uncertainty in the data information for decision making is a most challenging and critical fear. In order to reduce the uncertainty in the decision making expert information for decision making problem, the Linear Diophantine fuzzy number is taking more critical part in reducing the uncertainty...

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Main Authors: Maha M. Saeed Mohammad, Saleem Abdullah, M. M. Al-Shomrani
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9716839/
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author Maha M. Saeed Mohammad
Saleem Abdullah
M. M. Al-Shomrani
author_facet Maha M. Saeed Mohammad
Saleem Abdullah
M. M. Al-Shomrani
author_sort Maha M. Saeed Mohammad
collection DOAJ
description The uncertainty in the data information for decision making is a most challenging and critical fear. In order to reduce the uncertainty in the decision making expert information for decision making problem, the Linear Diophantine fuzzy number is taking more critical part in reducing the uncertainty in information. Therefore the primary aim of this paper is to develop some different types of similarity and distance measures for linear Diophantine fuzzy numbers. With the frequent occurrence of emergency events, emergency decision making (EDM) plays a significant role in the emergency situations. It is essential for decision makers to make reliable and reasonable emergency decisions within a short time period since inappropriate decisions may result in enormous economic losses and chaotic social order. Accordingly, to ensure that EDM problems can be solved effectively and quickly, this paper proposes a new EDM method based on the novel distance and similarity measures under Linear Diophantine fuzzy (LDF) information. The similarity measure is one of the beneficial tools to determine the degree of similarity between objects. It has many crucial applications such as decision making, data mining, medical diagnosis, and pattern recognition. In this study, some novel distances and similarity measures of linear Diophantine fuzzy sets are presented. Then, the Jaccard similarity measure, exponential similarity measure, Cosine and Cotangent function based on similarity measures for LDFSs were proposed. The newly defined similarity measures are applied to medical diagnosis problem for COVID-19 virus and the results are discussed. A comparative study for the new similarity measures is established, and some advantages of the proposed work are discussed.
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spelling doaj.art-505ed55a76634967b53617ccfdbd28012022-12-21T23:32:36ZengIEEEIEEE Access2169-35362022-01-0110298592987710.1109/ACCESS.2022.31516849716839Some Linear Diophantine Fuzzy Similarity Measures and Their Application in Decision Making ProblemMaha M. Saeed Mohammad0https://orcid.org/0000-0001-6416-8097Saleem Abdullah1https://orcid.org/0000-0002-7474-5115M. M. Al-Shomrani2https://orcid.org/0000-0001-7397-5165Department of Mathematics, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi ArabiaDepartment of Mathematics, Abdul Wali Khan University Mardan, Mardan, PakistanDepartment of Mathematics, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi ArabiaThe uncertainty in the data information for decision making is a most challenging and critical fear. In order to reduce the uncertainty in the decision making expert information for decision making problem, the Linear Diophantine fuzzy number is taking more critical part in reducing the uncertainty in information. Therefore the primary aim of this paper is to develop some different types of similarity and distance measures for linear Diophantine fuzzy numbers. With the frequent occurrence of emergency events, emergency decision making (EDM) plays a significant role in the emergency situations. It is essential for decision makers to make reliable and reasonable emergency decisions within a short time period since inappropriate decisions may result in enormous economic losses and chaotic social order. Accordingly, to ensure that EDM problems can be solved effectively and quickly, this paper proposes a new EDM method based on the novel distance and similarity measures under Linear Diophantine fuzzy (LDF) information. The similarity measure is one of the beneficial tools to determine the degree of similarity between objects. It has many crucial applications such as decision making, data mining, medical diagnosis, and pattern recognition. In this study, some novel distances and similarity measures of linear Diophantine fuzzy sets are presented. Then, the Jaccard similarity measure, exponential similarity measure, Cosine and Cotangent function based on similarity measures for LDFSs were proposed. The newly defined similarity measures are applied to medical diagnosis problem for COVID-19 virus and the results are discussed. A comparative study for the new similarity measures is established, and some advantages of the proposed work are discussed.https://ieeexplore.ieee.org/document/9716839/Fuzzy decisionlinear diophantine fuzzy setmulti-criteria decision makingsimilarity measure
spellingShingle Maha M. Saeed Mohammad
Saleem Abdullah
M. M. Al-Shomrani
Some Linear Diophantine Fuzzy Similarity Measures and Their Application in Decision Making Problem
IEEE Access
Fuzzy decision
linear diophantine fuzzy set
multi-criteria decision making
similarity measure
title Some Linear Diophantine Fuzzy Similarity Measures and Their Application in Decision Making Problem
title_full Some Linear Diophantine Fuzzy Similarity Measures and Their Application in Decision Making Problem
title_fullStr Some Linear Diophantine Fuzzy Similarity Measures and Their Application in Decision Making Problem
title_full_unstemmed Some Linear Diophantine Fuzzy Similarity Measures and Their Application in Decision Making Problem
title_short Some Linear Diophantine Fuzzy Similarity Measures and Their Application in Decision Making Problem
title_sort some linear diophantine fuzzy similarity measures and their application in decision making problem
topic Fuzzy decision
linear diophantine fuzzy set
multi-criteria decision making
similarity measure
url https://ieeexplore.ieee.org/document/9716839/
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AT saleemabdullah somelineardiophantinefuzzysimilaritymeasuresandtheirapplicationindecisionmakingproblem
AT mmalshomrani somelineardiophantinefuzzysimilaritymeasuresandtheirapplicationindecisionmakingproblem