Recent Contributions in Intelligent Systems

1. Front Matter

   Pages i-x

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2. Low-Level Image Processing Based on Interval-Valued Fuzzy Sets and Scale-Space Smoothing

   • Samuel Delepoulle, André Bigand, Christophe Renaud, Olivier Colot

   Pages 1-22

3. Generalized Net Representation of Dataflow Process Networks

   • Dimitar G. Dimitrov

   Pages 23-31

4. Wireless Sensor Positioning Using ACO Algorithm

   • Stefka Fidanova, Miroslav Shindarov, Pencho Marinov

   Pages 33-44

5. Time Accounting Artificial Neural Networks for Biochemical Process Models

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

   Pages 45-64

6. Periodic Time-Varying Observer-Based Learning Control of A/F Ratio in Multi-cylinder IC Engines

   • Tomohiro Hara, Tielong Shen, Yasuhiko Mutoh, Yinhua Liu

   Pages 65-83

7. Fuzzy T–S Model-Based Design of Min–Max Control for Uncertain Nonlinear Systems

   • Tatjana Kolemishevska-Gugulovska, Mile Stankovski, Imre J. Rudas, Nan Jiang, Juanwei Jing

   Pages 85-102

8. Modeling Parallel Optimization of the Early Stopping Method of Multilayer Perceptron

   • Maciej Krawczak, Sotir Sotirov, Evdokia Sotirova

   Pages 103-113

9. Intelligent Controls for Switched Fuzzy Systems: Synthesis via Nonstandard Lyapunov Functions

   • Jinming Luo, Georgi M. Dimirovski

   Pages 115-141

10. A New Architecture for an Adaptive Switching Controller Based on Hybrid Multiple T-S Models

    • Nikolaos A. Sofianos, Yiannis S. Boutalis

    Pages 143-161

11. Optimization of Linear Objective Function Under \(\min -\)Probabilistic Sum Fuzzy Linear Equations Constraint

    • Ketty Peeva

    Pages 163-177

12. Intuitionistic Fuzzy Logic Implementation to Assess Purposeful Model Parameters Genesis

    • Tania Pencheva, Maria Angelova

    Pages 179-203

13. Dynamic Representation and Interpretation in a Multiagent 3D Tutoring System

    • Patrick Person, Thierry Galinho, Hadhoum Boukachour, Florence Lecroq, Jean Grieu

    Pages 205-227

14. Generalized Net Model of the Scapulohumeral Rhythm

    • Simeon Ribagin, Vihren Chakarov, Krassimir Atanassov

    Pages 229-247

15. Method for Interpretation of Functions of Propositional Logic by Specific Binary Markov Processes

    • Vassil Sgurev, Vladimir Jotsov

    Pages 249-261

16. Generalized Net Models of Academic Promotion and Doctoral Candidature

    • Anthony G. Shannon, Beloslav Riecan, Evdokia Sotirova, Krassimir Atanassov, Maciej Krawczak, Pedro Melo-Pinto et al.

    Pages 263-277

17. Modeling Telehealth Services with Generalized Nets

    • Maria Stefanova-Pavlova, Velin Andonov, Todor Stoyanov, Maia Angelova, Glenda Cook, Barbara Klein et al.

    Pages 279-290

18. State-Space Fuzzy-Neural Predictive Control

    • Yancho Todorov, Margarita Terziyska, Michail Petrov

    Pages 291-312

19. Free Search and Particle Swarm Optimisation Applied to Global Optimisation Numerical Tests from Two to Hundred Dimensions

    • Vesela Vasileva, Kalin Penev

    Pages 313-337

20. Intuitionistic Fuzzy Sets Generated by Archimedean Metrics and Ultrametrics

    • Peter Vassilev

    Pages 339-378

This volume is a brief, yet comprehensive account of new development, tools, techniques and solutions in the broadly perceived “intelligent systems”. New concepts and ideas concern the development of effective and efficient models which would make it possible to effectively and efficiently describe and solve processes in various areas of science and technology. Special emphasis is on the dealing with uncertainty and imprecision that permeates virtually all real world processes and phenomena, and has to properly be modeled by formal and algorithmic tools and techniques so that they be adequate and useful. The papers in this volume concern a wide array of possible techniques exemplified by, on the one hand, logic, probabilistic, fuzzy, intuitionistic fuzzy, neuro-fuzzy, etc. approaches. On the other hand, they represent the use of such systems modeling tools as generalized nets, optimization and control models, systems analytic models, etc. They concerns a variety of approaches, from pattern recognition, image analysis, education system modeling, biological and medical systems modeling, etc.

• Intelligent Systems developments
• Probabilistic Approach
• Intuitionistic Fuzzy Approach
• Neuro-fuzzy Approach
• Generalized Nets
• Pattern Recognition
• Image Analysis

“The details of the various models are clearly explained with useful diagrams where these would be helpful. For the person interested in current work in intelligent systems, the book provides a useful perspective. Graduate students and practitioners will find it to be a useful overview of some current work in intelligent systems.” (Computing Reviews, May, 2017)

• Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

  Vassil Sgurev

• Machine Intelligence Institute, Hagan School of Business, Iona College, New Rochelle, USA

  Ronald R. Yager

• Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

  Janusz Kacprzyk

• Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

  Krassimir T. Atanassov

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