Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7725
Title: FUZZY KNOWLEDGE - BASED SYSTEM SHELL - SYSTEM Z - 1.
Authors: Prof. LEUNG Kwong Sak 
Lam W. 
Issue Date: 1987
Publisher: IEEE
Source: No source title available, 1987, pp. 655 - 659
Abstract: A knowledge-based system shell called SYSTEM Z-1, which is based on an original approach using fuzzy reasoning and linguistic techniques, is presented. The prototype system developed consists of a parser, three knowledge-base-management modules, an independent knowledge base for storing fuzzy rules and facts, an inference engine based on fuzzy logic, and a linguistic approximation routine. SYSTEM Z-1 can handle inexact reasoning and has a natural language interface with a limited vocabulary. The overall architecture and the individual modules of the system are described.
Type: Conference Proceedings
URI: http://hdl.handle.net/20.500.11861/7725
Appears in Collections:Applied Data Science - Publication

Show full item record

Page view(s)

37
Last Week
1
Last month
checked on Dec 20, 2024

Google ScholarTM

Impact Indices

PlumX

Metrics


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.