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Developing Web-based Semantic and Fuzzy Expert Systems using Proposed Tool

by Mostafa A. Nofal, Khaled M. Fouad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 7
Year of Publication: 2015
Authors: Mostafa A. Nofal, Khaled M. Fouad
10.5120/19682-1414

Mostafa A. Nofal, Khaled M. Fouad . Developing Web-based Semantic and Fuzzy Expert Systems using Proposed Tool. International Journal of Computer Applications. 112, 7 ( February 2015), 38-45. DOI=10.5120/19682-1414

@article{ 10.5120/19682-1414,
author = { Mostafa A. Nofal, Khaled M. Fouad },
title = { Developing Web-based Semantic and Fuzzy Expert Systems using Proposed Tool },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 7 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 38-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number7/19682-1414/ },
doi = { 10.5120/19682-1414 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:53.045912+05:30
%A Mostafa A. Nofal
%A Khaled M. Fouad
%T Developing Web-based Semantic and Fuzzy Expert Systems using Proposed Tool
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 7
%P 38-45
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Developing the expert system (ES) using conventional programming languages is very tedious task. Therefore, it is not surprising that tools have been developed that can support the knowledge engineer. Separate tools now exist to support the knowledge acquisition and to support the implementation. Fuzzy set theory is used to capture imprecision in inputs and outputs of models, and fuzzy expert systems are used as a method of reasoning with imprecision. Fuzzy expert system permits handling uncertainties, ambiguities, and contradictions in the knowledge. In this research, a tool is proposed for development of web-based expert systems and utilizes fuzzy logic and semantic web technology which permits the knowledge engineer and domain expert to define the knowledge without having to know anything about programming languages and AI. The knowledge can be conceptualized using WordNet. The tool can induce new rules based on the semantic similarity of the concepts using WordNet. During acquiring the knowledge by a proposed tool using domain expert, the fuzzification process can be performed for values of in the acquired knowledge, then, the fuzzy inference can be initiated that has derivation of the control outputs based on the calculated fire strength and the defined fuzzy sets for each output variable in the consequent part of each rule. Finally, defuzzification is performed that involves weighting and combining a number of fuzzy sets resulting from the fuzzy inference process in a calculation, which gives a single crisp value for each output. Using a proposed tool, the Web-based fuzzy expert system can be developed simply and takes short time and effort. The proposed tool is evaluated by using the diagnosis domain of air pollution diseases.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Expert Systems XML Web-based User Interface.

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