Journal of Intelligent Systems in Current Computer Engineering - Online First

Whether in the short, medium or long term, forecasting electricity consumption has always been an essential study area. In the literature, many methods are used for future forecasting and are being improved daily to achieve better results.

The main objective of this study is to make the most accurate long-term electricity consumption forecast, which is the basis for optimal future planning in the energy sector. Electric consumption forecasting is performed regionally since planning at the regional level is essential for more precise planning.

There may be different variables that affect electricity consumption. This study extends the multivariate grey model for electricity consumption prediction to intuitionistic triangular fuzzy numbers for nine regions. In the grey model, population, export, and gross domestic product variables were used as independent variables, and future predictions for these variables were obtained through the univariate intuitionistic triangular fuzzy grey model.

The results of the proposed method are compared with those of the classical univariate grey model, univariate intuitionistic triangular fuzzy grey model, and classical multivariate grey model. The results show that the error values of the proposed method are lower.

The study contributes to the development of the grey model. More accurate prediction results are obtained with the proposed method compared to similar methods

Uncertainty is a common factor in every real-life decision-making problem. Possibility theory is one uncertainty theory in Fuzzy sets (FS). The possibility-based decision-making under a fuzzy environment is a significant multi-criteria decision-making (MCDM) method.

A bipolar FS is an extension of a fuzzy set. With the bipolarity concept, we can handle both positive and negative thoughts. In this study, we have provided a possibility mean of a bipolar fuzzy number. We have developed a ranking method for bipolar fuzzy numbers using this possibility concept. A novel possibility MCDM method is suggested for solving the water resources management (WRM) in the Nagpur area, Maharashtra State, India.

The MCDM technique is an effective tool for solving WRM problems in an area. Many uncertainties and bipolarities occur together in the Nagpur water resources systems WRM technique with fuzzy is one approach that can be used to solve the area's water problem. We have used the proposed MCDM to address the water-related issues of this district. With this proposed MCDM method, numerically, we employed water resource problems under a bipolar fuzzy environment.

The Nagpur area is covered by Basaltic rock and faces water shortage. The district is experiencing severe water shortages. Groundwater, surface water, and rainfall are three water resources considered as alternatives. According to the proposed MCDM technique in Nagpur district, Groundwater is the best water source from three flanks: quality of water, affordability, and availability.