On the implementation of a fuzzy model for assessing consumer loyalty for electric power industry organizations based on the additive convolution method

The relevance of developing models and tools that take into account the growing role of electricity consumers in order to increase the competitiveness of electric power industry organizations based on the creation of artificial intelligence systems that provide ample opportunities for structuring demand, taking into account the main and additional types of activities, contributing to the formation of development programs for organizations, is emphasized. The developed models for assessing consumer loyalty are characterized, the approach most often used for their formation is determined, and their peculiarity is their application to multi-product sales. It is emphasized that the choice of tools for implementing a model for assessing consumer loyalty for electric power industry organizations is associated with the influence of technical, social and economic factors that determine the use of “soft” modeling. It is shown that the most appropriate method for implementing the model is the additive convolution method. An algorithm for implementing a fuzzy model is presented based on the selected method and the proposed criterion for determining loyal consumers. An example of assessing the loyalty of electricity consumers of an energy sales organization is shown, consumers with a high level of loyalty, including behavioral and cognitive, are identified in order to formulate proposals for participation in programs for the development of the digital environment and the use of additional services.