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An Integrated T‐Spherical Fuzzy 2‐Tuple Linguistic WASPAS Framework With Hamy Mean Aggregation for Wildlife Conservation Planning.

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Title: An Integrated T‐Spherical Fuzzy 2‐Tuple Linguistic WASPAS Framework With Hamy Mean Aggregation for Wildlife Conservation Planning.
Authors: Deebani, Wejdan1 (AUTHOR), Ibrar, Muhammad2 (AUTHOR) m.ibrar@ustb.edu.pk, Shah, Zahir3 (AUTHOR), Alreshidi, Nasser Aedh4 (AUTHOR), Shutaywi, Meshal1 (AUTHOR), Yanhong, Li5 (AUTHOR), Mariano, Paolo Maria (AUTHOR) paolomaria.mariano@unifi.it
Source: Journal of Applied Mathematics. 5/31/2026, Vol. 2026, p1-32. 32p.
Subjects: Wildlife conservation, Aggregation operators, Decision making, Multiple criteria decision making, Mathematical optimization, Fuzzy sets
Geographic Terms: China
Abstract: Due to the inherent uncertainty in selecting a best alternative, T‐spherical fuzzy 2‐tuple linguistic (T‐SF2TL) sets will be an advantageous method for decision makers (DMs) to assist their evaluations within T‐SF2TL framework. The objective of this study is to establish weighted Hamy mean (WHM) and weighted dual Hamy mean (WDHM) operators within the context of T‐SF2TL sets. Meanwhile, the intrinsic attributes of the introduced aggregation operators (AOs) are rigorously assessed to validate their reliability and integrity. Subsequently, we develop a maximization deviation model to evaluate the weights of the criteria in the decision‐making process. Furthermore, we extensively discuss essential features and remarks regarding these proposed AOs. Building on the developed AOs, we expand on the weighted aggregated sum product assessment (WASPAS) method to effectively address T‐SF2TL decision‐making issues. To show the effectiveness and efficacy of the developed approach, we present a real‐life problem of wildlife conservation in China and conduct a detailed investigation, comparing it with existing methodologies. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Applied Mathematics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An Integrated T‐Spherical Fuzzy 2‐Tuple Linguistic WASPAS Framework With Hamy Mean Aggregation for Wildlife Conservation Planning.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Mathematics%22">Journal of Applied Mathematics</searchLink>. 5/31/2026, Vol. 2026, p1-32. 32p.
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  Data: <searchLink fieldCode="DE" term="%22Wildlife+conservation%22">Wildlife conservation</searchLink><br /><searchLink fieldCode="DE" term="%22Aggregation+operators%22">Aggregation operators</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+sets%22">Fuzzy sets</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
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  Data: Due to the inherent uncertainty in selecting a best alternative, T‐spherical fuzzy 2‐tuple linguistic (T‐SF2TL) sets will be an advantageous method for decision makers (DMs) to assist their evaluations within T‐SF2TL framework. The objective of this study is to establish weighted Hamy mean (WHM) and weighted dual Hamy mean (WDHM) operators within the context of T‐SF2TL sets. Meanwhile, the intrinsic attributes of the introduced aggregation operators (AOs) are rigorously assessed to validate their reliability and integrity. Subsequently, we develop a maximization deviation model to evaluate the weights of the criteria in the decision‐making process. Furthermore, we extensively discuss essential features and remarks regarding these proposed AOs. Building on the developed AOs, we expand on the weighted aggregated sum product assessment (WASPAS) method to effectively address T‐SF2TL decision‐making issues. To show the effectiveness and efficacy of the developed approach, we present a real‐life problem of wildlife conservation in China and conduct a detailed investigation, comparing it with existing methodologies. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Applied Mathematics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/jama/2428239
    Languages:
      – Code: eng
        Text: English
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        PageCount: 32
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      – SubjectFull: Wildlife conservation
        Type: general
      – SubjectFull: Aggregation operators
        Type: general
      – SubjectFull: Decision making
        Type: general
      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Fuzzy sets
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: An Integrated T‐Spherical Fuzzy 2‐Tuple Linguistic WASPAS Framework With Hamy Mean Aggregation for Wildlife Conservation Planning.
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          Name:
            NameFull: Deebani, Wejdan
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            NameFull: Ibrar, Muhammad
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            NameFull: Shah, Zahir
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            NameFull: Alreshidi, Nasser Aedh
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            NameFull: Shutaywi, Meshal
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            – D: 31
              M: 05
              Text: 5/31/2026
              Type: published
              Y: 2026
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              Value: 2026
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