Development of Multi-Criteria Decision Models using COPRAS Method through Pythagorean Cubic Fuzzy Numbers

Abstract

In this paper, we develop a novel decision-making model under the Pythagorean cubic fuzzy set (PCFS). PCFS prepare the larger space to explain the agreement, disagreement and hesitancy grades. Proportional assessment (COPRAS) methodology is one of the well-known multiple criteria group decision-making methods for solving the decision-making problems. In this paper, the COPRAS method develops for the decision-making method under a deterministic environment.  Furthermore, to tackle the uncertainty of real-world projects and determine the critical path of projects by considering efficient criteria, a new group decision methodology is extended based on complex proportional assessment (COPRAS) method under Pythagorean cubic fuzzy sets PCFSs. In this respect, two numerical applications are considered to demonstrate the procedure of the proposed method. Finally, a comparative analysis and discussion with other method is provided. The proposed method is more effective and efficient as compared with existence methods for multi-criteria decision-making problems.