Impact of IoT in improving the proficiency of electric power distribution systems: Linguistic bipolar MABAC technique based on einstein models with priority degrees
International Journal of Modern Physics C, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1142/s0129183126420052
- Dergi Adı: International Journal of Modern Physics C
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, INSPEC, zbMATH, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO), Technology Collection (ProQuest)
- Anahtar Kelimeler: Decision-making technique, electric power distribution systems, internet of things, linguistic bipolar fuzzy systems, MABAC technique, priority Einstein aggregation operators
- İstanbul Gelişim Üniversitesi Adresli: Evet
Özet
The key theme of this paper is to introduce the linguistic bipolar fuzzy sets, which are a modified version of the linguistic information and bipolar fuzzy set theory. Additionally, we propose the Einstein operational laws based on linguistic bipolar fuzzy information for evaluating the prioritized aggregation operators, such as the linguistic bipolar fuzzy prioritized Einstein averaging operator and linguistic bipolar fuzzy prioritized Einstein geometric operator, with three basic properties for each operator, called idempotency, monotonicity and boundedness. Moreover, we aim to construct the multiattributive border approximation area comparison tool and the multiattribute decision-making tool based on the designed operators. Furthermore, we illustrate the design of some numerical analyses for evaluating the decision-making technique and suggest models to describe the authority of the planned theory. Finally, by considering the proposed ranking values, we aim to compare them with the ranking values of the existing models for assessing the validity of the described theory.