Feature selection using expected attainable discrimination
Pattern Recognition Letters
Industrial Applications of Fuzzy Control
Industrial Applications of Fuzzy Control
A Two-Input, One-Output Bit-Scalable Architecture for Fuzzy Processors
IEEE Design & Test
A Fast Digital Fuzzy Processor
IEEE Micro
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
IEEE Transactions on Fuzzy Systems
Computationally efficient active rule detection method: Algorithm and architecture
Fuzzy Sets and Systems
Implementation of fuzzy logic controller in FPGA circuit for guiding electric wheelchair
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Defuzzification block: New algorithms, and efficient hardware and software implementation issues
Engineering Applications of Artificial Intelligence
A multi-context processor for real-time concurrent tasks fuzzy reasoning
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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The paper explains the design and the realization of a small size high-speed fuzzy processor. The processor goal is to give more flexibility to the front-end electronics for high-energy physics experiments. The chip can be applied as a general purpose data analyzer; particularly for analyzing and reducing on-line the data coming from detectors. The application of a fuzzy processor to this field allows rejecting redundant data in a very short time. The design of the fuzzy processor has been done using VHDL language; it is cell-based and has been implemented with Alcatel 0.35 µm CMOS VLSI technology. The chip architecture is pipelined with a clock frequency of 133 MHz; consequently the processing rate is 30 ns since only four active rules are processed. The chip size is 3 mm2 and the total power consumption is 200 mW with 3, 3 V of voltage supply.