Analysis of Networks and Digital Systems by Using the Novel Technique Based on Complex Fuzzy Soft Information

In the last few years, intelligent industrial systems and consumer electronics are being developed extensively and broadly. Fuzzy logic and fuzzy techniques that integrate these approaches are recognized as effective ways to realize such intelligent functions. These intelligent systems rely on fuzzy control techniques, i.e., common sense rules to describe system behavior instead of complex mathematical models. This work provides solutions to such uncertainties and aids in the relative decision-making processes. To this end, an innovative concept of complex fuzzy soft relation (CFSR) is defined based on the Cartesian product (CP) between two complex fuzzy soft sets (CFSSs). The main goal of this analysis is to develop some new and valuable concepts which will be suitable for managing awkward and unreliable information in real-life problems. The proposed idea is more dominant and superior to the prevailing ideas, where the presented idea is the modified technique of two different theories, called fuzzy set (FS) and soft set (SS). In addition, some reliable results have also been proved. Moreover, an application of the proposed techniques is proposed which demonstrates the process of choosing a good network. Finally, the advantages of the proposed framework are explained by the comparison with pre-existing frameworks.