Kandel A., Langholz G. (eds.) Fuzzy Hardware. Architectures and Applications

Springer, 1998. — 432.Fuzzy hardware developments have been a major force driving the applications of fuzzy set theory and fuzzy logic in both science and engineering. The fuzzy boom in Japan, as well as in other parts of the world, has generated a host of products and techniques demonstrating superior performance to conventional products. It is precisely that superior performance that has enhanced the scientific label, as well as the commercial label, of fuzzy set theory.
An important research trend is the design of improved fuzzy hardware. Recent investigations in the literature have shown increasing interest in both analog and digital implementations of fuzzy controllers in particular and fuzzy systems in general. Specialized analog and digital VLSI implementations of fuzzy systems, in the form of dedicated architectures, aim at the highest implementation efficiency. This particular efficiency is asserted in terms of processing speed and silicon utilization. Processing speed in particular has caught the attention of developers of fuzzy hardware and researchers in the field.
This edited volume of fuzzy hardware architectures and applications provides the reader with a comprehensive up-to-date look at recent works describing new innovative developments of fuzzy hardware. The contributors are widely known for their research in fuzzy hardware and have acquired international visibility working and publishing in this field.Fuzzy Hardware Research from Historical Point of View
Three Generations of Fuzzy Hardware
Hardware Realization of Fuzzy Neural Networks
AFAN - A Tool for the Automatic Design of Digital and Analog Neuro-Fuzzy Controllers
Silicon Compilation of Fuzzy Hardware Systems Based on Generic LR Fuzzy Cells
Serial Architectures for Efficient Digital Fuzzy Hardware Processing
Automatic Implementation of Piecewise-Linear Fuzzy Systems Addressing Memory-Performance Trade-Off
A Parallel Processor Architecture for Real-Time Fuzzy Applications
Short Time Decision VLSI Fuzzy Processor
Designing a Simple System to Greatly Accelerate the Learning Speed of a Large Class of Fuzzy Learning Methods
Fuzzy Controller Synthesis Method
Fuzzy Hardware Based on Encoded Trapezoids
Pulse Stream Techniques for Fuzzy Hardware
Fuzzy Cellular System: Characteristics and Architecture
Fuzzy Wavelets for Feature Extraction and Failure Classification
A Building Block Approach to the Design of Analog Neuro-Fuzzy Systems in CMOS Digital Technologies
Electronic Implementation of Complex Controllers