Selection of internet of things-enabled sustainable real-time monitoring strategies for manufacturing processes using a disc spherical fuzzy schweizer–sklar aggregation model
Yükleniyor...
Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The emergence of the Internet of Things (IoT) for monitoring in real-time is geared towards sustainable energy consumption practices by taking control over energy loss. The promising potential of current IoT real-time monitoring systems paves the way for future developments in monitoring devices with eco-friendly sensing capabilities. As a result, the creation of effective IoT real-time monitoring devices targeted at decreasing energy loss becomes crucial. This modeling procedure falls under the realm of multiple-attribute group decision-making (MAGDM), aiming to integrate the Schweizer-Sklar (SS) in-norm and in-conorm within the disc spherical fuzzy (D-SF) framework. The objective is to enhance the flexibility of D-SF in dealing with intricate and uncertain data. The core focus of this research is on deriving SS in-norm and in-conorm for D-SF data, consequently introducing innovative aggregation operators. The article offers the fundamental D-SF operations using SS aggregation operators in a systematic manner, with thorough theorem justifications. A new MAGDM tool is presented, created simply to manage ambiguous and imprecise data utilizing the suggested operators. Our model is specifically designed to tackle the critical issue of reducing energy loss in IoT real-time monitoring systems. The research not only focuses on model accuracy but also emphasizes its effectiveness in solving this pressing problem, demonstrating significant advancements in sustainable energy practices. Moreover, the proposed aggregation operators are subjected to a comparative analysis. This comprehensive comparison not only enhances the operators' efficacy but also underscores their relevance in real-world decision-making scenarios.
Açıklama
Anahtar Kelimeler
Applied Decision-Making, Disc Spherical Fuzzy Sets, Internet of Things, Real-Time Monitoring Systems, Schweizer–Sklar Prioritized Aggregation Operators
Kaynak
Engineering applications of artificial intelligence
WoS Q Değeri
Q1
Scopus Q Değeri
Q1
Cilt
139
Sayı
Künye
Ashraf, S., Naeem, M., Iqbal, W., Farid, H. M. A., Shakeel, H. M., Simic, V., & Tırkolaee, E. B. (2025). Selection of Internet of Things-enabled sustainable real-time monitoring strategies for manufacturing processes using a disc spherical fuzzy Schweizer–Sklar aggregation model. Engineering Applications of Artificial Intelligence, 139, 109607.
