Abstract

The chapter provides examples and applications based on fuzzy sets and fuzzy logic-based theory. Initially, basic and fundamental examples of day to day life are demonstrated in this chapter with necessary design details and step by step calculations. The examples included here are fuzzification of irregular students considering fuzzy attendance, speed of a vehicle, job selection, fuzzy operations for almond sorting, and viral disease diagnosis such as the Covid-19. Numeric examples of fuzzification, defuzzification, operations on fuzzy sets, fuzzy relations are also included. Applications of fuzzy logic in fashion designing, software engineering, domestic appliances such as washing machines, share market analysis, and sensor control are also discussed in this chapter. Detailed discussion is presented on restaurant menu planner and customized representation of material to slow learners by giving complete systems architectures, design of fuzzy functions, and fuzzy rules. Traditional fuzzy logic, which is known as type-1 fuzzy logic, has got some limitations. To overcome the limitations, type-2 fuzzy logic is used. This chapter introduces and demonstrates an application of type-2 fuzzy logic along with its membership function. The fuzzy logic as a constituent of computational intelligence evolves continuously and observes possibilities of many innovative research opportunities. Besides detailed discussion on approximately 20 examples as mentioned above, in the end, the chapter enlists possible research ideas in the pure fuzzy logic-based system. There are possibilities of hybrid and applied research in the field of fuzzy logic too, which are enlisted at the end of the chapter. Approximately 40 core research ideas/projects and applications, which will be helpful for the learners, professionals, and researchers, are contributed to this chapter.

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