A Novel Multiple-Criteria Decision-Making Approach Based on Picture Fuzzy Sets

Experts are using picture fuzzy sets (PFSs) in their probes to resolve the uncertain and vague information during the process of decision making because PFSs describe human attitudes naturally. Divergence measure (DM) plays a dominant role in discriminating between two distributions of probability a...

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Main Authors: Hanen Karamti, Muhammad Sarwar Sindhu, Muhammad Ahsan, Imran Siddique, Ibrahim Mekawy, Hamiden Abd El-Wahed Khalifa
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2022/2537513
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author Hanen Karamti
Muhammad Sarwar Sindhu
Muhammad Ahsan
Imran Siddique
Ibrahim Mekawy
Hamiden Abd El-Wahed Khalifa
author_facet Hanen Karamti
Muhammad Sarwar Sindhu
Muhammad Ahsan
Imran Siddique
Ibrahim Mekawy
Hamiden Abd El-Wahed Khalifa
author_sort Hanen Karamti
collection DOAJ
description Experts are using picture fuzzy sets (PFSs) in their probes to resolve the uncertain and vague information during the process of decision making because PFSs describe human attitudes naturally. Divergence measure (DM) plays a dominant role in discriminating between two distributions of probability and extracting consequences from that discrimination. In the present work, a novel picture fuzzy divergence measure (PF-DM) is developed between two PFSs. Some of the suggested measure’s important qualities are also discussed with particular situations to validate it. Based on the suggested PF-DM, a multiple-criteria decision-making (MCDM) model is established to grab the fuzzy information. The suggested measure’s performance is compared to that of various existing measures in the literature. An MCDM model has been proven for the usefulness of the suggested technique in dealing with real-life scenarios in the context of dengue sickness and pattern identification. Validation of the suggested MCDM model has been further investigated using validity testing. To improve the generated model, a thorough comparison with several current methodologies has been carried out while taking the time complexity (TC) factor into account.
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institution Kabale University
issn 2314-8888
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Function Spaces
spelling doaj-art-190df3521b874b53aaac0d50cd98ac4a2025-08-20T03:54:14ZengWileyJournal of Function Spaces2314-88882022-01-01202210.1155/2022/2537513A Novel Multiple-Criteria Decision-Making Approach Based on Picture Fuzzy SetsHanen Karamti0Muhammad Sarwar Sindhu1Muhammad Ahsan2Imran Siddique3Ibrahim Mekawy4Hamiden Abd El-Wahed Khalifa5Department of Computer SciencesDepartment of MathematicsDepartment of MathematicsDepartment of MathematicsDepartment of MathematicsDepartment of Operations ResearchExperts are using picture fuzzy sets (PFSs) in their probes to resolve the uncertain and vague information during the process of decision making because PFSs describe human attitudes naturally. Divergence measure (DM) plays a dominant role in discriminating between two distributions of probability and extracting consequences from that discrimination. In the present work, a novel picture fuzzy divergence measure (PF-DM) is developed between two PFSs. Some of the suggested measure’s important qualities are also discussed with particular situations to validate it. Based on the suggested PF-DM, a multiple-criteria decision-making (MCDM) model is established to grab the fuzzy information. The suggested measure’s performance is compared to that of various existing measures in the literature. An MCDM model has been proven for the usefulness of the suggested technique in dealing with real-life scenarios in the context of dengue sickness and pattern identification. Validation of the suggested MCDM model has been further investigated using validity testing. To improve the generated model, a thorough comparison with several current methodologies has been carried out while taking the time complexity (TC) factor into account.http://dx.doi.org/10.1155/2022/2537513
spellingShingle Hanen Karamti
Muhammad Sarwar Sindhu
Muhammad Ahsan
Imran Siddique
Ibrahim Mekawy
Hamiden Abd El-Wahed Khalifa
A Novel Multiple-Criteria Decision-Making Approach Based on Picture Fuzzy Sets
Journal of Function Spaces
title A Novel Multiple-Criteria Decision-Making Approach Based on Picture Fuzzy Sets
title_full A Novel Multiple-Criteria Decision-Making Approach Based on Picture Fuzzy Sets
title_fullStr A Novel Multiple-Criteria Decision-Making Approach Based on Picture Fuzzy Sets
title_full_unstemmed A Novel Multiple-Criteria Decision-Making Approach Based on Picture Fuzzy Sets
title_short A Novel Multiple-Criteria Decision-Making Approach Based on Picture Fuzzy Sets
title_sort novel multiple criteria decision making approach based on picture fuzzy sets
url http://dx.doi.org/10.1155/2022/2537513
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