• Prof.Asmita Deshpande
• Dr.Sanjay Kumar
• Dr.Aparna Junnarkar

Abstract— The main significance & scope of this paper is to develope novel automated electricity plan recommendation using Efficient Fuzzy logic algorithms to solve the problems related to sparsity, recommendation accuracy, & computation efficiency. For sparsity, we introduced the Efficient Fuzzy logic under which we applied the set of fuzzy rules to optimize the recommendation process. For the accuracy & computation efficiency, we propose the relevance feedback approach which may automatically recommend the electricity plane based on end user feedbacks on previous recommendation results for the same user. The aim of this study is to propose & evaluate a unique data mining-based electricity plan extraction framework. In this paper we used method of Electricity Plan Recommendation System using Efficient Fuzzy logic (EPRS-EF).

FUZZY LOGIC ,TEFRRIF ,ELECTRICITY

"EPRS-EF: Electricity Plan Recommendation System using Efficient Fuzzy Logic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.m230-m237, May-2023, Available :http://www.jetir.org/papers/JETIR2305C33.pdf

"EPRS-EF: Electricity Plan Recommendation System using Efficient Fuzzy Logic", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppm230-m237, May-2023, Available at : http://www.jetir.org/papers/JETIR2305C33.pdf