A VLSI implementation of a fuzzy-inference engine: toward a expert system on a chip
Information Sciences: an International Journal
Applied fuzzy systems
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Fuzzy hardware: architectures and applications
Fuzzy hardware: architectures and applications
Computer organization and design (2nd ed.): the hardware/software interface
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Industrial Applications of Fuzzy Logic and Intelligent Systems
Industrial Applications of Fuzzy Logic and Intelligent Systems
Prototyping of Fuzzy Logic-Based Controllers Using Standard FPGA Development Boards
RSP '02 Proceedings of the 13th IEEE International Workshop on Rapid System Prototyping (RSP'02)
Design of Analog Fuzzy Logic Controllers in CMOS Technologies: Implementation, Test, and Application
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CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) - Volume 01
Digital fuzzy logic controller: design and implementation
IEEE Transactions on Fuzzy Systems
Parametric classes of generalized conjunction and disjunction operations for fuzzy modeling
IEEE Transactions on Fuzzy Systems
Fuzzy modeling based on generalized conjunction operations
IEEE Transactions on Fuzzy Systems
Generators of Fuzzy Operations for Hardware Implementation of Fuzzy Systems
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Parametric Operations for Digital Hardware Implementation of Fuzzy Systems
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
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Hardware implementation of fuzzy systems plays important role in many industrial applications of fuzzy logic. The most popular applications of fuzzy hardware systems were found in the domain of control systems but the area of application of these systems is extending on other areas such as signal processing, pattern recognition, expert systems etc. The digital fuzzy hardware systems usually use only basic operations of fuzzy logic like min, max and some others, first, due to their popularity in traditional fuzzy control systems and, second, due to the difficulties of hardware implementation of more complicated operations, e.g. parametric classes of t-norms and t-conorms. But for extending the area of applications and flexibility of fuzzy hardware systems it is necessary to develop the methods of digital hardware implementation of wide range of fuzzy operations. The paper studies the problem of digital hardware implementation of fuzzy parametric conjunction and disjunction operations. A new class of such operations is proposed which is simple for digital hardware implementation and is flexible, due to its parametric form, for possible tuning in fuzzy models. The methods of hardware implementation of these operations in digital systems are proposed.