An efficient intuitionistic fuzzy approach for location selection to install the most suitable energy power plant

Abstract

Abstract This paper develops a decision support system for multi-factor based energy plant installation in various locations. As, the conditions to implement an energy plant in different locations varies a lot, therefore, based on these conditions specific type of power generation plant should be installed. But, because of environmental sustainability, social, and economical issues, some restrictions are imposed in building all types of power plants in every location which may create difficulties to satisfy the demand of energy for those locations. Thus, there must be a suitable methodology to decide the most appropriate power generation plant to be installed in the most appropriate place. In this respect, this paper develops an efficient process for building the most appropriate energy production plant based on intuitionistic fuzzy logic. The study is inspired by Sanchez's approach which was initiated to diagnose some medical conditions. The Sanchez's method is adopted here and utilized to obtain the degree of membership functions to choose the proper location for the proper plant. The entire methodology was illustrated with the algorithm and flowchart. To validate the model, data of seven Indian states are collected from several sources. The study concluded that the proposed methodology can obtain the degrees of appropriateness which specifies how much a specific power plant is suitable to be implemented in a particular location.