Fuzzy logic is a form of many-valued logic whose variables have a truth value that varies in degree. Spatial favourability for species occurrence may be considered a fuzzy concept, as historical, geographical, human, and environmental conditions make locations more or less favourable for the occurr...
The concept of membership function allows that degree up to which the customer falls with the concept of that class. To create a modal for the analysis of customer relationships, fuzzy logic based software is proposed. Fuzzy logic, unlike statistical data mining techniques, enables the use of ...
A type-1 fuzzy logic system (T1FLSs) inference produces a T1FS and the result of defuzzification of the T1FS, a crisp number, whereas a T2FLS inference produces a type-2 fuzzy set, its type-reduced fuzzy set which is a T1FS and the defuzzification of the type-1 fuzzy set. The type...
Many of the ideas presented in the papers are still open to further development. The book is thus an important resource for anyone interested in the areas of fuzzy set theory, fuzzy logic, and fuzzy systems, as well as their applications. Moreover, the book is also intended to play a ...
The Interval Type-2 Fuzzy Logic Controller (IT2FLC) for a Quadruple Tank Process (QTP) is demonstrated in this paper. Here the Interval Type-2 based Fuzzy membership function is used. The QTP is made to operate in minimum phase mode. The vertices of fuzzy membership functions are tuned wit...
Create a type-2 fuzzy logic PID controller and compare its performance with a type-1 fuzzy PID controller and a conventional PID controller. Ports Input expand all in—Input signal scalar | vector Output expand all out—Defuzzified output signal ...
A vehicular ad hoc network (VANET) is an emerging technology that improves road safety, traffic efficiency, and passenger comfort. VANETs’ applications rely on co-operativeness among vehicles by periodically sharing their context information, such as po
TheFuzzy Logic Designerapp lets you design, test, and tune a fuzzy inference system (FIS) for modeling complex system behavior. Using this app, you can: Design Mamdani and Sugeno FISs. Design type-1 and type-2 FISs. Tune the rules and membership functions of a FIS or FIS tree. ...
This paper presents an application of fuzzy logic control to the distributed collector field of a solar power plant. The major characteristic of a solar power plant is that the primary energy source, solar radiation, cannot be manipulated. Solar radiation varies throughout the day, causing changes...
(which is about functions of fuzzy sets),α-cuts (which are a powerful way to represent a type-1 fuzzy set in terms of intervals), functions of type-1 fuzzy sets computed by usingα-cuts , multivariable membership functions and Cartesian products , crisp logic , going from crisp logic ...