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Rough Sets and Soft Computing in Intelligent Agent and Web Technology

The 2005 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology WI-IAT 2005 (

Compiegne University of Technology
Compiegne, France, Sept. 19-22, 2005
The Workshop Day: Sept. 19, 2005

(The workshops are still subject to final approval by the WI-IAT Committee)


Rough set theory was proposed by Zdzislaw Pawlak in 1982 as a model of approximate reasoning. The concepts are represented by the lower and upper approximations induced from indiscernibility relation between objects. The basic idea is to build the approximations by means of available attributes (features, dimensions), tending to their reduction and simplification

Rough set methodology focuses on derivation and representation of knowledge hidden in various types of data. It enables to, e.g.: discover compound patterns within the web and multimedia contents; model agent behaviours and complex (real-life) phenomena; design hierarchical schemes for information retrieval; generally support data- related aspects of the web applications.

On top of that, rough set methodology keeps putting a special emphasis on clarity of the obtained models. This advantage draws an attention of more and more researchers and practitioners, who begin to apply rough sets to the hybrid classification, prognostic, and decision support systems.

The growth of interest in rough sets can be also easily recognized by observing the increasing number of scientific conferences and workshops, with the leading international conference series on Rough Sets and Current Trends in Computing (RSCTC), as well as the LNCS journal subline on Transactions on Rough Sets.


The objective of this particular workshop is to encompass both the foundations and applications of rough sets, particularly regarding intelligent agent and web technologies. More generally, among the others, we would welcome the papers on connections of rough sets to the following areas:

  • Case-Based Reasoning
  • Conflict Modeling and Solving
  • Distributed Computing
  • E-Commerce Applications
  • Feature Selection and Extraction
  • Granular and Rough Computing
  • Hierarchical Classification
  • Hybrid Methods in Soft Computing
  • Intrusion Detection and Security
  • Knowledge and Ontology Engineering
  • Mining Web/Multimedia/Medical Data
  • Multi-Agent Systems
  • Rough Neuro-Computing
  • Self-Adapting Systems


The workshop proceedings will be published by the main WI-IAT 2005 organizers. The camera-ready papers should be 8-page long, prepared in the IEEE LaTeX format.

Selected accepted papers will be expanded and additionally revised after the workshop for inclusion in the journal Transactions on Rough Sets (Springer, LNCS journal subline).


Please refer to the main WI-IAT 2005 conference website


  • Full Paper Submission -- July 15, 2005
  • Acceptance Notification -- July 31, 2005
  • Camera Ready Submission -- August 15, 2005


Program Chair and Contact Person:

Dominik Slezak
Department of Computer Science
University of Regina
Regina, SK, S4S 0A2, Canada
Phone: 306-585-4632
Fax: 306-585-4745

Program Co-Chairs:

Churn-Jung Liau
Academia Sinica, Taipei, Taiwan

Ernestina Menasalvas-Ruiz
Univ. Politecnica de Madrid, Madrid, Spain

Program Commitee:

To be announced.