Nikravesh, M. et al. ed.
Forging New Frontiers: Fuzzy Pioneers I
Springer-Verlag 2007.9
460 pp.(H)
ISBN 3-540-73181-4
20,000円
Contents
1.Web Intelligence, World Knowledge and Fuzzy Logic/ 2.Summarization of Time Series via Computing with Words and Perceptions/ 3.Evolution of Fuzzy Logic: From Intelligent Systems and Computation to Human Mind/ 4.Pioneers of Vagueness, Haziness, and Fuzziness in the 20th Century/ 5.Selected Results of the Global Survey on Research, Instruction and Development Work with Fuzzy Systems/ 6.Fuzzy Models and Interpolation/ 7.Computing with Antonyms/ 8.Morphic Computing: Concept and Foundation/ 9.A Nonlinear Functional Analytic Framework for Modeling and Processing Fuzzy Sets/ 10.Concept-Based Search and Questionnaire Systems/ 11.Towards Perception Based Time Series Data Mining/ 12.Veristic Variables and Approximate Reasoning for Intelligent Semantic Web Systems/ 13.Uncertainty in Computational Perception and Cognition.- Computational Intelligence for Geosciences and Oil Exploration/ 14.Hierarchical Fuzzy Classification of Remote Sensing Data/ 15.Real World Applications of a Fuzzy Decision Model Based on Relationships between Goals (DMRG)/ 16. Applying Fuzzy Decision and Fuzzy Similarity in Agricultural Sciences/ Index/
* The 2005 BISC International Special Event-BISCSE’05 " FORGING THE FRONTIERS" was held in the University of California, Berkeley, “WHERE FUZZY LOGIC BEGAN, from November 3 6, 2005. The successful applications of fuzzy logic and it’s rapid growth suggest that the impact of fuzzy logic will be felt increasingly in coming years. Fuzzy logic is likely to play an especially important role in science and engineering, but eventually its influence may extend much farther. In many ways, fuzzy logic represents a significant paradigm shift in the aims of computing - a shift which reflects the fact that the human mind, unlike present day computers, possesses a remarkable ability to store and process information which is pervasively imprecise, uncertain and lacking in categoricity. *
Masulli, F. et al. ed.
Applications of Fuzzy Sets Theory
7th International Workshop
Springer-Verlag 2007.
693 pp.(P)
ISBN 3-540-73399-X
16,000円
7th International Workshop on Fuzzy Logic and Applications,WILF 2007, Camogli, Italy, July 7-10, 2007, Proceedings
Contents
* The papers are organized into topical sections covering fuzzy set theory, fuzzy information access and retrieval, fuzzy machine learning, and fuzzy architectures and systems. The book also includes special sessions on intuitionistic fuzzy sets and soft computing in image processing.
* WILF 2007 hosted four special sessions, namely the Fourth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, the Third International Workshop on Cross-Language Information Processing, Intuitionistic Fuzzy Sets: Recent Advances, and Soft Computing in Image Processing. These special sessions extend and deepen the main topics of WILF. *
Lodwick, W. ed.
Fuzzy Surfaces in GIS and Geographical Analysis
Theory, Analytical Methods, Algorithms and Applications
CRC Press 2007.12
184 pp.(H)
ISBN 0-8493-6395-0
17,000円
Contents
1.Introduction/ 2.Interpolation with Data Containing Interval, Fuzzy, and Possibilistic Uncertainty/ 3.Introduction to Geographical Information Systems/ 4.Geographical Entities as Surfaces/ 5.Surface Modeling/ 6.Visualization and Analysis on Surfaces/ 7.Applications/ 8. Algorithms - Pseudo Code/ 9.Appendices 芳uzzy Arithmetic and Fuzzy Query C++ Source/ Index/
* Surfaces are a central to geographical analysis. Their generation and manipulation are a key component of geographical information systems (GISs). However, geographical surface data is often not precise. When surfaces are used to model geographical entities, the data inherently contains uncertainty in terms of both position and attribute. Fuzzy Surface in GIS and Geographical Analysis sets out a process to identify the uncertainty in geographic entities. It describes how to successfully obtain, model, analyze, and display data, as well as interpret results within the context of GIS. *
Abraham, A. et al. ed.
Engineering Evolutionary Intelligent Systems
Springer-Verlag 2008.1
444 pp.(H)
ISBN 3-540-75395-8
19,800円
Contents
Part.1: Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews (Ajith Abraham)/ Part.2: Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures (Sung-Kwun Oh)/ Part.3: Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design (Sung-Kwun Oh)/ Part.4: Evolution of Inductive Self-organizing Networks (Dongwon Kim)/ Part.6: Enhancing Recursive Supervised Learning Using Clustering and Combinatorial Optimization (RSL-CC) (Kiruthika Ramanathan)/ Part.7: Evolutionary Approaches to Rule Extraction from Neural Networks (Urszula Markowska-Kaczmar)/ Part.8: Cluster-wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller (Tushar)/ Part.9: Evolutionary Fuzzy Modelling for Drug Resistant HIV-1 Treatment Optimization (Mattia Prosperi)/ Part.10: A New Genetic Approach for Neural Network Design (Antonia Azzini)/ Part.11: A Grammatical Genetic Programming Representation for Radial Basis Function Networks (Ian Dempsey)/ Part.12: A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced Seabed Liquefaction Depth (Daeho Cha)/ Part.13: On the Design of Large-scale Cellular Mobile Networks Using Multi-population Memetic Algorithms (Alejandro Quintero)/ Part.14: A Hybrid Cellular Genetic Algorithm for the Capacitated Vehicle Routing Problem (Enrique Alba)/ Part.15: Particle Swarm Optimization with Mutation for High Dimensional Problems (Jeff Achtnig)/ References/ Index/ *
Yu, T. et al. ed.
Evolutionary Computation in Practice
進化的計算の実際
Springer-Verlag 2008.2
322 pp.(H)
ISBN 3-540-75770-8
20,600円
Contents
1.An Introduction to Evolutionary Computation in Practice/ 2.Design for Product Embedded Disassembly/ 3.Multi-Level Decomposition for Tractability in Structural Design Optimization/ 4. Representing the Change-Free Form Deformation for Evolutionary Design Optimization/ 5. Evolving Microstructured Optical Fibres/ 6.Making Interactive Evolutionary Graphic Design Practical/ 7.Optimization of Store Performance using Personalized Pricing/ 8.A Computational Intelligence Approach to Railway Track Intervention Planning/ 9.A Co-Evolutionary Fuzzy System for Reservoir Well Logs Interpretation/ 10.Resource Scheduling with Permutation Based Representations/ 11.Evolutionary Computation in the Chemical Industry/ 12.Technology Transfer: Academia to Industry/ 13.A Survey of Practitioners of Evolutionary Computation/ 14.Evolutionary Computation Applications: Twelve Lessons Learned/ 15.Evolutionary Computation at American Air Liquide/ Index/
* This book is loaded with examples in which computer scientists and engineers have used evolutionary computation―programs that mimic natural evolution―to solve real problems. They aren’t abstract, mathematically intensive papers, but accounts of solving important problems, including tips from the authors on how to avoid common pitfalls, maximize the effectiveness and efficiency of the search process, and many other practical suggestions. Some of the authors have already won "Humies"―Human Competitive Results Awards―for the work described in this book. I highly recommend it as a highly concentrated source of good problem-solving approaches that are applicable to many real-world problems. *
Olson, David L. & Delen, D.
Advanced Data Mining Techniques
Springer-Verlag 2008.1
180 pp.(P)
ISBN 3-540-76916-1
14,200円
Contents
Part I: INTRODUCTION: 1.Introduction/ 2. Data Mining Process:CRISP-DM/ Appendix: Job Application Data Set/ Part II: DATA MINING METHODS AS TOOLS: 4. Association Rules in Knowledge Discovery/ 5. Fuzzy Sets in Data Mining/ 6. Rough Sets:A Brief Theory of Rough Sets/ 7. Support Vector Machines/ 8. Genetic Algorithm Support to Data Mining/ Appendix: Loan Application Data Set/ 9. Performance Evaluation for Predictive Modeling:Performance Metrics for Predictive Modeling/ Part III: APPLICATIONS: 10. Applications of Methods:Memory-Based Application/ Bibliography/ Index/
* This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding.
* The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining. Methods are presented with simple examples, applications are reviewed, and relative advantages are evaluated. *
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