Titlebook: Soft Computing: State of the Art Theory and Novel Applications; Ronald R. Yager,Ali M. Abbasov,Shahnaz N. Shahbazo Book 2013 Springer-Verl

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Querying Possibilistic Databases: Three Interpretations,ng of researches on this topic (cf. e.g., [3,4,19] for some recent ones). Even though most of the literature about uncertain databases uses probability theory as the underlying uncertainty model, some approaches rather rest on possibility theory [26]. The initial idea consisting in applying possibil

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The Theory and Applications of Generalized Complex Fuzzy Propositional Logic, of complex fuzzy sets. Second, current theory is based on a restricted polar representation of complex fuzzy proposition, where only one component of a complex fuzzy proposition carries fuzzy information. In this chapter we present a novel form of complex fuzzy logic. The new theory, referred to as

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Applied Research in the Field of Automation of Learning and Knowledge Control,The system is developed in order to create an effective environment capable of providing high-quality training functions with minimal involvement of the teacher, and to ensure adequate control of learning processes of individuals. The basic principles of the presented research are methods of analysi

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Bio-inspired Optimization of Interval Type-2 Fuzzy Controllers, in this paper. The fundamental focus of the work has been based on the basic reasons of the need for optimizing type-2 fuzzy systems for different areas of application. Recently, bio-inspired methods have emerged as powerful optimization algorithms for solving complex problems. In the case of desig

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System Modeling and Forecasting with Evolving Fuzzy Algorithms,tion transformers with core immersed in oil are of utmost importance for power systems operation and safety. Its hot spot temperature determines the degradation speed of the insulation material and parts. High temperatures cause loss of mechanical stiffness, generating failures. Insulation degradati

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