VLSI implementation of an inference processor for approximate reasoning

VLSI implementation of an inference processor for approximate reasoning

This report outlines the design and implementation of a prototype fuzzy inference processor (FIP) using Xilinx field programmable gate arrays (FPGAs). The fuzzy rules are represented as pre-computed relation matrices and the fuzzy input variables are considered to be in the form of fuzzy singletons....

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Bibliographic Details
Main Author: Ho, Jiun Sien.
Other Authors: Lim, Meng Hiot
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:http://hdl.handle.net/10356/19741
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Institution: Nanyang Technological University
Language: English
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Summary:This report outlines the design and implementation of a prototype fuzzy inference processor (FIP) using Xilinx field programmable gate arrays (FPGAs). The fuzzy rules are represented as pre-computed relation matrices and the fuzzy input variables are considered to be in the form of fuzzy singletons. This simplifies the inferencing process significantly and results in hardware architecture that is less complex.

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