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FUZZY INFERENCE SYSTEM – THEORY AND APPLICATIONS

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Evolution of global technologies has prompted increasing complexity of applications developed in both, the industry and the scientific research fields. These complexities are generally attributed to nonlinearities, poorly defined dynamics and absence of apriori information about the systems. Imprecision, uncertainties and vagueness in information about the system are also playing vital roles in enhancing the complexity of application. During the last five decades researchers had concentrated their efforts on providing simple and easy algorithms using different methodologies to cope with the increasing complexity of the system. The concept of fuzzy sets had been proposed in 1965 to address the issues of application complexities arising due to nonlinearities, poorly defined...

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