Soft Computing Based Modeling in Intelligent Systems

1. Front Matter

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2. Soft Computing Methods for Global, Local and Personalized Modeling and Applications in Bioinformatics

   • Nikola Kasabov

   Pages 1-18

3. Orthosymmetry Aspects of Aggregation Functions

   • Koen C. Maes, Bernard De Baets

   Pages 19-34

4. MOGA Design of Neural Network Predictors of Inside Temperature in Public Buildings

   • A. E. Ruano, E. M. Crispim, P. M. Frazão

   Pages 35-61

5. Model Based Anytime Soft Computing Approaches in Engineering Applications

   • Annamária R. Várkonyi-Kóczy

   Pages 63-92

6. A Multi-structure Modeling Methodology

   • Nathalie Pessel, Jean Duplaix, Jean-François Balmat, Frédéric Lafont

   Pages 93-113

7. The Generalized Dombi Operator Family and the Multiplicative Utility Function

   • József Dombi

   Pages 115-131

8. Multi-channel Representations of Max-Plus Algebra Based Wavelet Transform and Their Application to Video Coding

   • Hajime Nobuhara, Barnabás Bede

   Pages 133-144

9. The Fuzzy-Interpolative Methodology

   • Marius M. Balas

   Pages 145-167

10. Interpolative-Type Control Solutions

    • Sanda Dale, Toma-Leonida Dragomir

    Pages 169-203

11. Back Matter

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The book “Soft Computing Based Modeling in Intelligent Systems”contains the - tended works originally presented at the IEEE International Workshop SOFA 2005 and additional papers. SOFA, an acronym for SOFt computing and Applications, is an international wo- shop intended to advance the theory and applications of intelligent systems and soft computing. Lotfi Zadeh, the inventor of fuzzy logic, has suggested the term “Soft Computing.” He created the Berkeley Initiative of Soft Computing (BISC) to connect researchers working in these new areas of AI. Professor Zadeh participated actively in our wo- shop. Soft Computing techniques are tolerant to imprecision, uncertainty and partial truth. Due to the large variety and complexity of the domain, the constituting methods of Soft Computing are not competing for a comprehensive ultimate solution. Instead they are complementing each other, for dedicated solutions adapted to each specific pr- lem. Hundreds of concrete applications are already available in many domains. Model based approaches offer a very challenging way to integrate a priori knowledge into procedures. Due to their flexibility, robustness, and easy interpretability, the soft c- puting applications will continue to have an exceptional role in our technologies. The applications of Soft Computing techniques in emerging research areas show its mat- ity and usefulness. The IEEE International Workshop SOFA 2005 held Szeged-Hungary and Arad- Romania in 2005 has led to the publication of these two edited volumes. This volume contains Soft Computing methods and applications in modeling, optimisation and prediction.

• Wavelet
• artificial intelligence
• bioinformatics
• control
• evolution
• evolutionary computation
• fuzzy
• fuzzy system
• knowledge
• model
• modeling
• neural network
• neural networks
• operator
• uncertainty

• ”Aurel Vlaicu” University from Arad, Arad, Romania

  Valentina Emilia Balas

• Budapest Tech , Budapest, Hungary

  János Fodor

• Budapest University of Technology and Economics , Budapest, Hungary

  Annamária R. Várkonyi-Kóczy

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