Linguistic linear diophantine fuzzy Sugeno border approximation area comparison: Application in green supply chain management

The Linguistic generalzied Fuzzy Set (FS) is more efficient and effective for depicting awkward and uncertain data compared to existing models. In this manuscript, we describe the Sugeno-Weber laws for  linguistic generalzied  fuzzy information. Because these operational laws will help us in the con...

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Bibliografische Detailangaben

Hauptverfasser:	Zeeshan Ali, Dragan Pamucar
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Ayandegan Institute of Higher Education, 2026-03-01
Schriftenreihe:	Journal of Fuzzy Extension and Applications
Schlagworte:	green supply chain management linguistic linear diophantine fuzzy sets multi-attributive border approximation area comparison model sugeno-weber prioritized aggregation operators
Online-Zugang:	https://www.journal-fea.com/article_231207_3b1dca3f8b38276df10eb8a0cb53888e.pdf
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