More Web Proxy on the site http://driver.im/

article

Universal fuzzy system representation with XML

Authors:

Toan VuAuthors Info & Claims

Computer Standards & Interfaces, Volume 28, Issue 2

Pages 218 - 230

https://doi.org/10.1016/j.csi.2004.11.005

Published: 01 December 2005 Publication History

Abstract

An XML schema and an XML DTD (Document Type Definition) are designed as syntax to represent general fuzzy systems in XML. We demonstrate how fuzzy systems described in XML with our proposed schema can be universally compatible with different software by using appropriate XSLT (eXtensible Style Language Transformation) stylesheets. The proposed schema offers a standard platform for fuzzy system developers and users to collaborate without compatibility issues. We demonstrate how a fuzzy logic design coded in accordance with our XML schema can subsequently be understood and integrated with two different software like MATLAB and FuzzyJess.

References

[1]

Zadeh, L., Knowledge representation in fuzzy logic. IEEE Transactions on Knowledge and Data Engineering. v1 i1. 89-100.

Digital Library

[2]

Klir, George J. and Yuan, Bo, Fuzzy sets and fuzzy logic: theory and applications. 1995. Pearson Publications.

Digital Library

[3]

Rubtsova, Denis V. and Butakov, Sergei V., Application of XML for neural network exchange. Computer Standards&Interfaces. v24 i4. 311-322.

Digital Library

[4]

Lee, Jonathan and Fanjiang, Yong-Yi, Modeling imprecise requirements with XML. Information and Software Technology. v45 i7. 445-460.

[5]

Turowski, K. and Weng, U., Representing and processing fuzzy information-an XML-based approach. Knowledge-Based Systems. 67-7515.

[6]

Extensible Markup Language (XML) 1.1, http://www.w3.org/TR/xml11/.

[7]

Guide to the W3C XML Specification ("XMLspec") DTD, Version 2.1, http://www.w3.org/XML/1998/06/xmlspec-report#AEN49.

[8]

David C. Fallside, XML Schema Part 0: Primer, W3C Recommendation, May 2001, http://www.w3.org/TR/xmlschema-0/.

[9]

M. Kay, XSL Transformations (XSLT) version 2.0, W3C Working Draft, November 2003, http://www.w3.org/TR/xslt20/.

[10]

Eric van der Vlist, Comparing XML Schema Languages, December 12, 2001, http://xml.com/pub/a/2001/12/12/schemacompare.html.

[11]

Namespaces in XML, W3C Recommendation January, 1999, http://www.w3.org/TR/REC-xml-names.

[12]

Tseng, H. Chris and Kung, Chuen-Ming, Fuzzy logic filter for communication interference rejection. International Journal of Soft Computing. 12-18.

[13]

Tseng, H. Chris and Chi, Charlie, Aircraft Anti-lock Brake System (ABS) with and neural networks and fuzzy logic. In: Journal of Guidance, Control, and Dynamics, AIAA. pp. 1113-1118.

[14]

Tseng, H. Chris and Teo, Dennis, Ship-mounted satellite tracking antenna control. IEEE Transactions on Aerospace and Electronics. 639-645.

[15]

XML Schema for Fuzzy Systems, http://mh211b.cs.sjsu.edu/webintelligence/fuzzyschema/index.html.

[16]

Hahn, B., Essential MATLAB for scientists and engineers. 2003. 2nd edition. Butterworth-Heinemann.

Digital Library

[17]

Friedman-Hill, E., Jess in action: rule-based systems in Java. 2003. Manning Publications Company.

Digital Library

Cited By

Troya JMoreno NBertoa MVallecillo A(2021)Uncertainty representation in software models: a surveySoftware and Systems Modeling (SoSyM)10.1007/s10270-020-00842-120:4(1183-1213)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s10270-020-00842-1
Yan LMa Z(2019)A formal approach for graphically building fuzzy XML modelInternational Journal of Intelligent Systems10.1002/int.2218834:11(3058-3076)Online publication date: 24-Sep-2019
https://dl.acm.org/doi/10.1002/int.22188
Ma ZYan L(2016)Modeling fuzzy data with XMLFuzzy Sets and Systems10.1016/j.fss.2015.09.016301:C(146-159)Online publication date: 15-Oct-2016
https://dl.acm.org/doi/10.1016/j.fss.2015.09.016
Show More Cited By

Universal fuzzy system representation with XML
1. Applied computing
  1. Document management and text processing
2. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning

Recommendations

Graph transformation to infer schemata from XML documents
SAC '05: Proceedings of the 2005 ACM symposium on Applied computing

Semi-structured data are characterized by the lack of a predefined schema. This heterogeneity simplifies the management of such data, but analysis and queries become more difficult and demand for schemata that describe these data. Super-imposed ...
An XML Schema integration and query mechanism system

The availability of large amounts of heterogeneous distributed web data necessitates the integration of XML data from multiple XML sources for many reasons. For example, currently, there are many e-commerce companies, which offer similar products but ...
Developing an XML framework for metadata system
ISICT '03: Proceedings of the 1st international symposium on Information and communication technologies

Metadata is the media to describe the management and storing of kind of knowledge and well-preserved objects. Thus, with the compatibility of all various metadata, we can integrate related knowledge and with unification and management of information ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Computer Standards & Interfaces

Computer Standards & Interfaces Volume 28, Issue 2

December, 2005

118 pages

ISSN:0920-5489

Issue’s Table of Contents

Copyright © Elsevier B.V. © 2005.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 December 2005

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 06 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Troya JMoreno NBertoa MVallecillo A(2021)Uncertainty representation in software models: a surveySoftware and Systems Modeling (SoSyM)10.1007/s10270-020-00842-120:4(1183-1213)Online publication date: 1-Aug-2021
https://dl.acm.org/doi/10.1007/s10270-020-00842-1
Yan LMa Z(2019)A formal approach for graphically building fuzzy XML modelInternational Journal of Intelligent Systems10.1002/int.2218834:11(3058-3076)Online publication date: 24-Sep-2019
https://dl.acm.org/doi/10.1002/int.22188
Ma ZYan L(2016)Modeling fuzzy data with XMLFuzzy Sets and Systems10.1016/j.fss.2015.09.016301:C(146-159)Online publication date: 15-Oct-2016
https://dl.acm.org/doi/10.1016/j.fss.2015.09.016
Panić GRacković MŠkrbić S(2014)Fuzzy XML and prioritized fuzzy XQuery with implementationJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.5555/2596321.259635126:1(303-316)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.5555/2596321.2596351
Zhang FMa ZYan L(2013)Construction of fuzzy ontologies from fuzzy XML modelsKnowledge-Based Systems10.1016/j.knosys.2012.12.01542(20-39)Online publication date: 1-Apr-2013
https://dl.acm.org/doi/10.1016/j.knosys.2012.12.015

View Options

View options

Media

Figures

Other

Tables

View Issue’s Table of Contents