Evaluation of economic development policies using a spherical fuzzy extended TODIM model with Z̆-numbers.

Zadeh's Z̆-numbers are able to more effectively characterize uncertain information. Combined with "constraint" and "reliability". It is more powerful at expressing human knowledge. While the reliability of data can have a direct impact on the precision of decisions. The key...

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Main Authors: Shahzaib Ashraf, Muhammad Sohail, Adan Fatima, Sayed M Eldin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0284862
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author Shahzaib Ashraf
Muhammad Sohail
Adan Fatima
Sayed M Eldin
author_facet Shahzaib Ashraf
Muhammad Sohail
Adan Fatima
Sayed M Eldin
author_sort Shahzaib Ashraf
collection DOAJ
description Zadeh's Z̆-numbers are able to more effectively characterize uncertain information. Combined with "constraint" and "reliability". It is more powerful at expressing human knowledge. While the reliability of data can have a direct impact on the precision of decisions. The key challenge in solving a Z̆-number issue is reasoning about both fuzzy and probabilistic uncertainty. Existing research on the Z̆-number measure is only some, and most studies cannot adequately convey the benefits of Z̆-information and the properties of Z̆-number. Considering this study void, this work concurrently investigated the randomness and fuzziness of Z̆-number with Spherical fuzzy sets. We first introduced the spherical fuzzy Z-numbers (SFZNs), whose elements are pairwise comparisons of the decision-maker's options. It can be used effectively to make true ambiguous judgments, reflecting the fuzzy nature, flexibility, and applicability of decision making data. We developed the operational laws and aggregation operators such as the weighted averaging operator, the ordered weighted averaging operator, the hybrid averaging operator, the weighted geometric operator, the ordered weighted geometric operator, and the hybrid geometric operator for SFZ̆Ns. Furthermore, two algorithm are developed to tackle the uncertain information in the form of spherical fuzzy Z̆-numbers based to the proposed aggregation operators and TODIM methodology. Finally, we developed the relative comparison and discussion analysis to show the practicability and efficacy of the suggested operators and approach.
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spelling doaj.art-2a6e27d1d06148b09633c298291fcc5a2023-06-17T05:31:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01186e028486210.1371/journal.pone.0284862Evaluation of economic development policies using a spherical fuzzy extended TODIM model with Z̆-numbers.Shahzaib AshrafMuhammad SohailAdan FatimaSayed M EldinZadeh's Z̆-numbers are able to more effectively characterize uncertain information. Combined with "constraint" and "reliability". It is more powerful at expressing human knowledge. While the reliability of data can have a direct impact on the precision of decisions. The key challenge in solving a Z̆-number issue is reasoning about both fuzzy and probabilistic uncertainty. Existing research on the Z̆-number measure is only some, and most studies cannot adequately convey the benefits of Z̆-information and the properties of Z̆-number. Considering this study void, this work concurrently investigated the randomness and fuzziness of Z̆-number with Spherical fuzzy sets. We first introduced the spherical fuzzy Z-numbers (SFZNs), whose elements are pairwise comparisons of the decision-maker's options. It can be used effectively to make true ambiguous judgments, reflecting the fuzzy nature, flexibility, and applicability of decision making data. We developed the operational laws and aggregation operators such as the weighted averaging operator, the ordered weighted averaging operator, the hybrid averaging operator, the weighted geometric operator, the ordered weighted geometric operator, and the hybrid geometric operator for SFZ̆Ns. Furthermore, two algorithm are developed to tackle the uncertain information in the form of spherical fuzzy Z̆-numbers based to the proposed aggregation operators and TODIM methodology. Finally, we developed the relative comparison and discussion analysis to show the practicability and efficacy of the suggested operators and approach.https://doi.org/10.1371/journal.pone.0284862
spellingShingle Shahzaib Ashraf
Muhammad Sohail
Adan Fatima
Sayed M Eldin
Evaluation of economic development policies using a spherical fuzzy extended TODIM model with Z̆-numbers.
PLoS ONE
title Evaluation of economic development policies using a spherical fuzzy extended TODIM model with Z̆-numbers.
title_full Evaluation of economic development policies using a spherical fuzzy extended TODIM model with Z̆-numbers.
title_fullStr Evaluation of economic development policies using a spherical fuzzy extended TODIM model with Z̆-numbers.
title_full_unstemmed Evaluation of economic development policies using a spherical fuzzy extended TODIM model with Z̆-numbers.
title_short Evaluation of economic development policies using a spherical fuzzy extended TODIM model with Z̆-numbers.
title_sort evaluation of economic development policies using a spherical fuzzy extended todim model with z numbers
url https://doi.org/10.1371/journal.pone.0284862
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