Incompleteness and Uncertainty in Information Systems

1. Front Matter

   Pages i-viii

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2. Software Aberrations — Origins and Treatments

   • Martin S. Feather

   Pages 1-15

3. Reasoning with Incomplete Information: Rough Set Based Information Logics

   • Ewa Orłowska

   Pages 16-33

4. Knowledge and Uncertainty a Rough Set Approach

   • Zdzisław Pawlak

   Pages 34-42

5. A Formal Approach to Software Reusability

   • K. Periyasamy

   Pages 43-55

6. Modeling Uncertainty in Object-Oriented Databases

   • Fereidoon Sadri

   Pages 56-68

7. Management of Uncertainty in AI: A Rough Set Approach

   • Andrzej Skowron

   Pages 69-86

8. Rough Sets and Data Dependencies

   • Debby Keen, Arcot Rajasekar

   Pages 87-101

9. Situation Theory and Dempster-Shafer’s Theory of Evidence for Information Retrieval

   • M. Lalmas, C. J. van Rijsbergen

   Pages 102-116

10. Completeness in Statechart Models for Reactive Systems

    • Vangalur S. Alagar, Fangqing Dong, Ramesh Achuthan

    Pages 117-130

11. Knowledge Recovery and Development

    • W. M. Jaworski, R. Shinghal

    Pages 131-137

12. A Relational Data Model for Manipulating Probabilistic Knowledge

    • Laks V. S. Lakshmanan, Heather L. Johnstone

    Pages 138-152

13. Uncertainty as a Function of Expertise

    • Nematolaah Shiri, Hasan M. Jamil

    Pages 153-166

14. Unnesting Fuzzy SQL Queries in Fuzzy Databases

    • Qi Yang, Weining Zhang, Chenjie Luo, Clement Yu, H. Nakajima

    Pages 167-179

15. A Logical Explication of the Concepts of Incomplete and Uncertain Information

    • Urszula Wybraniec-Skardowska

    Pages 180-188

16. Evolution of Intelligent Database Systems: A Personal Perspective

    • Laks V. S. Lakshmanan

    Pages 189-208

17. Extracting Exact and Approximate Rules from Databases

    • Rokia Missaoui, Robert Godin, Ameur Boujenoui

    Pages 209-222

18. Logic of Rough Sets

    • Mohua Banerjee, M. K. Chakraborty

    Pages 223-233

19. Back Matter

    Pages 235-237

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The Software Engineering and Knowledgebase Systems (SOFfEKS) Research Group of the Department of Computer Science, Concordia University, Canada, organized a workshop on Incompleteness and Uncertainty in Information Systems from October 8-9, 1993 in Montreal. A major aim of the workshop was to bring together researchers who share a concern for issues of incompleteness and uncertainty. The workshop attracted people doing fundamental research and industry­ oriented research in databases, software engineering and AI from North America, Europe and Asia. The workshop program featured six invited talks and twenty other presentations. The invited speakers were: Martin Feather (University of Southern CalifornialInformation Systems Institute) Laks V. S. Lakshmanan (Concordia University) Ewa Orlowska (Polish Academy of Sciences) z. Pawlak (Warsaw Technical University and Academy of Sciences) F. Sadri (Concordia University) A. Skowron (Warsaw University) The papers can be classified into four groups: rough sets and logic, concept analysis, databases and information retrieval, and software engineering. The workshop opened with a warm welcome speech from Dr. Dan Taddeo, Dean, Faculty of Engineering and Computer Science. The first day's presentations were in rough sets, databases and information retrieval. Papers given on the second day centered around software engineering and concept analysis. Sufficient time was given in between presentations to promote active interactions and numerous lively discussions. At the end of two days, the participants expressed their hope that this workshop would be continued.

• Incompleteness
• SQL
• artificial intelligence
• database
• database system
• databases
• development
• evolution
• information retrieval
• information system
• modeling
• object-oriented database
• software
• software engineering
• uncertainty

• Department of Computer Science, Concordia University, Montreal, Canada

  V. S. Alagar, S. Bergler, F. Q. Dong

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