A Smart Technique Approach in Picture Fuzzy Schweizer-Sklar Power Geometric Aggregation Operators for Enhancing Road Construction Companies through Group Decision-Making

The objective of this paper is to develop picture fuzzy aggregation operators by utilizing the concept of power aggregation operators through Schweizer-Sklar operations. The Schweizer-Sklar t-norm and t-conorm enhance the flexibility of the data integration process and the power aggregation operator, by capturing the interrelationships between various criteria during decision-making. Motivated by Schweizer-Sklar t-norm and t-conorm, this paper aims to develop the theory of the picture fuzzy Schweizer-Sklar power weighted geometric operator and the picture fuzzy Schweizer-Sklar power ordered weighted geometric operator. The paper also explores the properties and characteristics of these proposed operators. Criteria weights play a crucial role in aggregating different criteria in multiple criteria decision-making processes. This work adopts the simple multi-attribute rating technique to compute criteria weights for solving multi-criteria group decision-making problems in a picture fuzzy environment. Finally, an illustrative example of the road construction company is provided to demonstrate the applicability of the proposed operators. A comparison with existing operators validates the effectiveness of the proposed operators.