Confidence Levels Bipolar Complex Fuzzy Aggregation Operators and Their Application in Decision Making Problem

Abstract

A novel idea called bipolar complex fuzzy set makes it simple to represent difficult and ambiguous information in practical issues. Confidence levels, bipolar fuzzy set, and complex fuzzy set are three distinct theories that were combined to form the basic theory of the Confidence levels bipolar complex fuzzy set. Confidence levels bipolar complex fuzzy set (CLBCFS)is used as a method for resolving perplexing and suspect circumstances that occur in daily life. In this article, we define idea of bipolar complicated fuzzy collection of confidence levels. To do this, we developed a number of operational laws. Further, utilizing bipolar complex fuzzy operational laws, we diagnose the theories of confidence level bipolar complex fuzzy averaging and geometric operators. We reviewed some significant findings and some features of the developed operators in order to reduce the impact of this study. In addition, we computed a multiple-attribute decision-making rule while the initiated approaches were present and attempted to support it with specific examples. Finally, we contrasted our defined work with numerous prevalent methodologies and also detailed their geometrical representations in order to assess the influence and supremacy of the defined work.

Keywords

• Complex fuzzy set
• bipolar fuzzy set
• confidence levels
• confidence levels bipolar complex aggregation operators