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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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Ayandegan Institute of Higher Education,
2026-03-01
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| Серии: | Journal of Fuzzy Extension and Applications |
| Предметы: | |
| Online-ссылка: | https://www.journal-fea.com/article_231207_3b1dca3f8b38276df10eb8a0cb53888e.pdf |
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