A research on employing fuzzy composite concepts based on human reasoning through singleton and non-singleton fuzzification

Since in the case of natural science inspiration, many advances have been achieved, In this paper with imitation of a basic feature we will discuss about an ability which is to generalize and integrate a wide range of sources of information into a series of simple concepts and heed it as the Composite Concepts. This phenomenon is an action for the decision and reasoning by people in everyday conversation. Besides, we explain the technical presentation that allows the formation of composite concepts using fuzzy logic which in fact is its purpose to copying and imitating of Composite Concepts which is employed by humans. These Fuzzy Composite Concepts (FCCs) aim to extend the capabilities of standard uses of FL to separated individual model factors (e.g. temperature) using fuzzy sets (and the associated linguistic labels) in order to create high order (composite) concepts which allow straightforward reasoning akin to human reasoning, maintaining a series of advantages such as simplicity, interpretability, robustness and reusability. Moreover, we consider some new examples in this field and demonstrate their results with MATLAB Fuzzy Logic Toolbox Simulator.