Fuzzy Logic

Fuzzy Logic brings you an essential set of tools for creating, modifying, and visualizing fuzzy sets and fuzzy logic-based systems. Ideal for engineers, researchers, and educators, the practical examples provided introduce you to basic concepts of fuzzy logic and demonstrate how to effectively apply the tools in the package to a wide variety of fuzzy system design tasks. Experienced fuzzy logic designers will find it easy to use the package to research, model, test, and visualize highly complex systems.

The package's built-in functions help you at every stage of the fuzzy logic design process as you define inputs and outputs, create fuzzy set membership functions, manipulate and combine fuzzy sets and relations, apply inferencing functions to system models, and incorporate defuzzification routines. Ready-to-use graphics routines make it easy to visualize defuzzification strategies, fuzzy sets, and fuzzy relations.

About Fuzzy Logic

Since its introduction nearly 30 years ago, fuzzy logic has established a place in engineering, proving to be especially useful in enabling designers and researchers to model complex, nonlinear systems quickly and effectively. Implemented most commonly in control system design, fuzzy logic-based systems can be found in a rapidly growing number of consumer appliances (from dishwashers to video cameras), as well as in automobile engines and transmissions and industrial equipment. The intuitive nature of the fuzzy-based system design saves engineers time and reduces costs by shortening product development cycles and making system maintenance and adjustments easier.

Also present in an ever broadening range of applications, the use of fuzzy logic for creating decision-support and expert systems has grown in popularity among management and financial decision-modeling experts. Still others are putting it to work in pattern recognition, economics, data analysis, and other areas that involve a high level of uncertainty, complexity, or nonlinearity.