Comparative analysis of brain diseases and disorders using WASPAS models and Sugeno-Weber information

The comparative analysis of brain diseases and disorders to better appreciate the differences and similarities in their treatments, progression, symptoms, and causes. Brain diseases and disorders present a key worldwide challenge because of the problem of the brain, which makes research, treatment, and diagnosis extremely complex. This study discovers the model of Weighted Aggregated Sum Product Assessment for complex fuzzy models with intuition, because this structure describes the opinions and feelings of human beings very precisely and efficiently. This study derives the operations based on Sugeno-Weber norms for the development of the Sugeno-Weber weighted averaging model and Sugeno-Weber weighted geometric model for the interpretation of the Weighted Aggregated Sum Product Assessment technique. Globally, differences in access to neurological care, slow progress in research, and the economic impact of these disorders highlight the urgent need for better education, treatment, and diagnosis strategies. Finally, this study compares the rank of our designed datasets with the ranking values of the prevalent strategies to designate the rationality and strength of the intended approaches.

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Publication Details

Journal
Journal of Intelligent & Fuzzy Systems
Published
2026-06-24
DOI
https://doi.org/10.1177/18758967261419628
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
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article

Comparative analysis of brain diseases and disorders using WASPAS models and Sugeno-Weber information

Thabet Abdeljawad, Bo Hsiao, Kamal Shah, Zeeshan Ali et al.
Journal of Intelligent & Fuzzy Systems
Brain Tumor Detection and Classification
article

Comparative analysis of brain diseases and disorders using WASPAS models and Sugeno-Weber information

Thabet Abdeljawad, Bo Hsiao, Kamal Shah, Zeeshan Ali, Dragan Pamucar, Hamza Zafar
article en

Abstract

The comparative analysis of brain diseases and disorders to better appreciate the differences and similarities in their treatments, progression, symptoms, and causes. Brain diseases and disorders present a key worldwide challenge because of the problem of the brain, which makes research, treatment, and diagnosis extremely complex. This study discovers the model of Weighted Aggregated Sum Product Assessment for complex fuzzy models with intuition, because this structure describes the opinions and feelings of human beings very precisely and efficiently. This study derives the operations based on Sugeno-Weber norms for the development of the Sugeno-Weber weighted averaging model and Sugeno-Weber weighted geometric model for the interpretation of the Weighted Aggregated Sum Product Assessment technique. Globally, differences in access to neurological care, slow progress in research, and the economic impact of these disorders highlight the urgent need for better education, treatment, and diagnosis strategies. Finally, this study compares the rank of our designed datasets with the ranking values of the prevalent strategies to designate the rationality and strength of the intended approaches.

Journal of Intelligent & Fuzzy Systems
Doğuş University (TR), Prince Sultan University (SA), China Medical University (TW), İstanbul Gelişim Üniversitesi (TR), National Yunlin University of Science and Technology (TW)
Quality Education
Openalex Percentile: Top 8%
Brain Tumor Detection and Classification
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