A METHODOLOGICAL APPROACH TO A RE-USABLE FUZZY EXPERT SYSTEM
A methodology for the development of expert systems is proposed and developed. Expert systems are examined and classified into three major groups. The imprecision inherent in many expert's domains is addressed with the use of fuzzy set theory. Fuzzy relations are used for knowledge representati...
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ndltd-fsu.edu-oai-fsu.digital.flvc.org-fsu_758272019-07-01T04:43:03Z A METHODOLOGICAL APPROACH TO A RE-USABLE FUZZY EXPERT SYSTEM HALL, LAWRENCE O'HIGGINS. Florida State University Text 211 p. A methodology for the development of expert systems is proposed and developed. Expert systems are examined and classified into three major groups. The imprecision inherent in many expert's domains is addressed with the use of fuzzy set theory. Fuzzy relations are used for knowledge representation and the inference process. Knowledge acquisition is also addressed in the relational context. All aspects of the system may be seen in the context of fuzzy relations which provide a powerful consistency. The developed methodology allows the construction of an expert system which has no domain knowledge built into it. This allows the system to be used in different domains with only the knowledge base being updated. We have applied the methodology to develop a multi-knowledge source expert system which incorporates fuzzy reasoning techniques. A blackboard is used for communication and the system may be distributed across several processors. Successful examples of the systems operation are shown. On campus use only. Source: Dissertation Abstracts International, Volume: 47-05, Section: B, page: 2059. Thesis (Ph.D.)--The Florida State University, 1986. Computer Science http://purl.flvc.org/fsu/lib/digcoll/etd/3086344 Dissertation Abstracts International AAI8616888 3086344 FSDT3086344 fsu:75827 http://diginole.lib.fsu.edu/islandora/object/fsu%3A75827/datastream/TN/view/A%20METHODOLOGICAL%20APPROACH%20TO%20A%20RE-USABLE%20FUZZY%20EXPERT%20SYSTEM.jpg |
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Computer Science A METHODOLOGICAL APPROACH TO A RE-USABLE FUZZY EXPERT SYSTEM |
description |
A methodology for the development of expert systems is proposed and developed. Expert systems are examined and classified into three major groups. The imprecision inherent in many expert's domains is addressed with the use of fuzzy set theory. Fuzzy relations are used for knowledge representation and the inference process. Knowledge acquisition is also addressed in the relational context. All aspects of the system may be seen in the context of fuzzy relations which provide a powerful consistency. The developed methodology allows the construction of an expert system which has no domain knowledge built into it. This allows the system to be used in different domains with only the knowledge base being updated. We have applied the methodology to develop a multi-knowledge source expert system which incorporates fuzzy reasoning techniques. A blackboard is used for communication and the system may be distributed across several processors. Successful examples of the systems operation are shown. === Source: Dissertation Abstracts International, Volume: 47-05, Section: B, page: 2059. === Thesis (Ph.D.)--The Florida State University, 1986. |
author2 |
HALL, LAWRENCE O'HIGGINS. |
author_facet |
HALL, LAWRENCE O'HIGGINS. |
title |
A METHODOLOGICAL APPROACH TO A RE-USABLE FUZZY EXPERT SYSTEM |
title_short |
A METHODOLOGICAL APPROACH TO A RE-USABLE FUZZY EXPERT SYSTEM |
title_full |
A METHODOLOGICAL APPROACH TO A RE-USABLE FUZZY EXPERT SYSTEM |
title_fullStr |
A METHODOLOGICAL APPROACH TO A RE-USABLE FUZZY EXPERT SYSTEM |
title_full_unstemmed |
A METHODOLOGICAL APPROACH TO A RE-USABLE FUZZY EXPERT SYSTEM |
title_sort |
methodological approach to a re-usable fuzzy expert system |
url |
http://purl.flvc.org/fsu/lib/digcoll/etd/3086344 |
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1719217303341498368 |