A Systematic Analysis of EDAS Method and Power Aggregation Operators Based on Bipolar Complex Fuzzy Linguistic for Rural Energy Infrastructure Decision

Abstract

In rural energy infrastructure decisions, EDAS methods and power aggregation operators can be used in combination to help decision makers evaluate and select different infrastructure options. By using these methods, decision makers can consider multiple factors such as cost, efficiency, sustainability, etc., and integrate them into a comprehensive assessment to make more comprehensive and informed decisions. In this article, we compute the power aggregation operators based on bipolar complex fuzzy linguistic (BCFL) values for weight vectors and without weight vectors, called BCFL power averaging (BCFLPOAV), BCFL power weighted averaging (BCFLPOWAV), BCFL power geometric (BCFLPOGE), BCFL power weighted geometric (BCFLPOWGE) operators, and described their valuable properties. Further, we derive the evaluation based on distance from average solution (EDAS) technique for proposed methods based on BCFL information, where the EDAS technique is one of the multi-attribute decision-making (MADM) problems, which evaluates the traditional decision-making process. Finally, to improve or to show the supremacy and validity of the initiated operators, we illustrate rural energy infrastructure example to try to evaluate the comparative analysis between proposed and existing techniques to find the rationality and flexibility of the derived techniques for the development of rural energy infrastructure.

Keywords

• Bipolar complex linguistic sets
• meta-analysis of EDAS technique
• power aggregation operators
• systematic review
• decision-making techniques