Статья

Geometric Aggregation Operator for MCDM Method Based on AIFS Information: Application to Renewable-Energy-Source-Selection Problems

Bhagawati Prasad JoshiGraphic Era Hill University,Department of Mathematics,Bhimtal,India,263136Arvind Kumar BhattUttarakhand Open University,Department of Mathematics,Haldwani,Uttrakhand,India,263140Mehul ManuGraphic Era Hill University,Department of Allied Sciences,Bhimtal,India,263136Anuj KumarSchool of Computer Science Engg. & Applications, D. Y. Patil International University (DYPIU),Pune,Maharashtra,411044Sangeeta PantSymbiosis International (Deemed University) (SIU),Department of Applied Sciences,Pune,Maharashtra,412115Shailendra GiriGovt of Uttarakhand,Department of Mathematics, Education Dept.,Pauri Garhwal,India,246001

2023en

ABI

Аннотация

Ambiguous intuitionistic fuzzy set (AIFS) theory is more suitable tool to deal with uncertainties as compared to fuzzy set (FS) and intuitionistic FS. In this paper, a method for the classification of renewable energy sources (RES) under the AIFS environment is proposed. Firstly, we propose new aggregation operators, namely the ambiguous-intuitionistic weighted-geometric (AI-WG) and the ambiguous-intuitionistic ordered-weighted-geometric (AI-OWG) are proposed, to fuse AIFNs input information. Then, based on these defined operators, we develop an approach for RES-selection problem and successfully applied it for a RES classification. The obtained results are compared with some considered methods to verify its effectiveness and efficiency.

Перевод пока недоступен

Идентификаторы

DOI: 10.1109/peeic59336.2023.10451899

Цитирования и источники

Цитирований: 10Использованных источников: 0

Показатели — AkademScholar