In this chapter, we will introduce FL concepts such as fuzzy sets and their properties, FL operators, hedges, fuzzy proposition and rule-based systems, fuzzy maps and inference …

Fuzzy set theory is an extension of classical set theory where elements have degree of membership.

Fuzzy Logic looks at the world in imprecise terms, in much the same way that our brain takes in information (e.g. temperature is hot, speed is slow), then responds with precise actions.

Mamdani-style Fuzzy Expert System: “Fuzzification” determine the degree of membership for each input in the antecedent fuzzy sets. “Rule Evaluation” combine antecedents using fuzzy …

This review provides a comprehensive overview of the theoretical foundations, key developments, and modern applications of fuzzy sets and fuzzy logic.

Fuzzy Classification Fuzzy Classification Using Informal knowledge about problem domain for classification Example: Adult salmon is oblong and light in color Sea bass is stouter and dark

Determine fuzzy rules that map input to output membership functions. Rules are intuitive based on considering all possible input sensor value scenarios.