Intelligent Systems: From Theory to Practice

1. Front Matter

   PDF

2. Tagging and Fuzzy Sets

   • Ronald R. Yager, Marek Reformat

   Pages 1-17

3. Intelligent Control of Uncertain Complex Systems by Adaptation of Fuzzy Ontologies

   • Mincho Hadjiski, Vassil Sgurev, Venelina Boishina

   Pages 19-40

4. NEtwork Digest Analysis Driven by Association Rule Discoverers

   • Daniele Apiletti, Tania Cerquitelli, Vincenzo D’Elia

   Pages 41-71

5. Group Classification of Objects with Qualitative Attributes: Multiset Approach

   • Alexey B. Petrovsky

   Pages 73-97

6. Empirical Evaluation of Selected Algorithms for Complexity-Based Classification of Software Modules and a New Model

   • Jian Han Wang, Nizar Bouguila, Taoufik Bdiri

   Pages 99-131

7. A System Approach to Agent Negotiation and Learning

   • František Čapkovič, Vladimir Jotsov

   Pages 133-160

8. An Application of Mean Shift and Adaptive Control to Active Face Tracking

   • Ognian Boumbarov, Plamen Petrov, Krasimir Muratovski, Strahil Sokolov

   Pages 161-179

9. Time Accounting Artificial Neural Networks for Biochemical Process Models

   • Petia Georgieva, Luis Alberto Paz Suárez, Sebastião Feyo de Azevedo

   Pages 181-199

10. Decentralized Adaptive Soft Computing Control of Distributed Parameter Bioprocess Plant

    • Ieroham S. Baruch, Rosalba Galvan-Guerra

    Pages 201-228

11. Effective Mutation Operator and Parallel Processing for Nurse Scheduling

    • Makoto Ohki, Shin-ya Uneme, Hikaru Kawano

    Pages 229-242

12. Case Studies for Genetic Algorithms in System Identification Tasks

    • Aki Sorsa, Riikka Peltokangas, Kauko Leiviskä

    Pages 243-260

13. Range Statistics and Suppressing Snowflakes Detects for Laser Range Finders in Snowfall

    • Sven Rönnbäck, Åke Wernersson

    Pages 261-277

14. Situational Modelling for Structural Dynamics Control of Industry-Business Processes and Supply Chains

    • Boris Sokolov, Dmitry Ivanov, Alexander Fridman

    Pages 279-308

15. Computational Study of Non-linear Great Deluge for University Course Timetabling

    • Joe Henry Obit, Dario Landa-Silva

    Pages 309-328

16. Entropy Operator in Macrosystem Modeling

    • Yu S. Popkov

    Pages 329-359

17. Generalized Net Model for Parallel Optimization of Feed-Forward Neural Network with Variable Learning Rate Backpropagation Algorithm with Time Limit

    • S. Sotirov, K. Atanassov, M. Krawczak

    Pages 361-371

18. Towards a Model of the Digital University: A Generalized Net Model for Producing Course Timetables and for Evaluating the Quality of Subjects

    • A. Shannon, D. Orozova, E. Sotirova, M. Hristova, K. Atanassov, M. Krawczak et al.

    Pages 373-381

19. Intuitionistic Fuzzy Data Quality Attribute Model and Aggregation of Data Quality Measurements

    • Diana Boyadzhieva, Boyan Kolev

    Pages 383-395

20. Redundancy Detection and Removal Tool for Transparent Mamdani Systems

    • Andri Riid, Kalle Saastamoinen, Ennu Rüstern

    Pages 397-415

In the modern science and technology there are some research directions and ch- lenges which are at the forefront of world wide research activities because of their relevance. This relevance may be related to different aspects. First, from a point of view of researchers it can be implied by just an analytic or algorithmic difficulty in the solution of problems within an area. From a broader perspective, this re- vance can be related to how important problems and challenges in a particular area are to society, corporate or national competitiveness, etc. Needless to say that the latter, more global challenges are probably more decisive a driving force for s- ence seen from a global perspective. One of such “meta-challenges” in the present world is that of intelligent s- tems. For a long time it has been obvious that the complexity of our world and the speed of changes we face in virtually all processes that have impact on our life imply a need to automate many tasks and processes that have been so far limited to human beings because they require some sort of intelligence.

• Artificial Intelligence
• Computational Intelligence
• Intelligent Systems
• Software
• autonomous system
• fuzzy logic
• fuzzy sets
• learning
• model
• modeling
• neural network
• ontology
• optimization
• planning
• proving

• Institute of Information Techologies of the Bulgarian Academy of Sciences, Sofia, Bulgaria

  Vassil Sgurev, Mincho Hadjiski

• Polish Academy of Sciences, Warsaw, Poland

  Janusz Kacprzyk

Policies and ethics