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Foundations of fuzzy logic and soft computing : 12th International Fuzzy Systems Association World Congress, IFSA 2007, Cancun, Mexico, June 18-21, 2007 : proceedings

معرفی کتاب «Foundations of fuzzy logic and soft computing : 12th International Fuzzy Systems Association World Congress, IFSA 2007, Cancun, Mexico, June 18-21, 2007 : proceedings» نوشتهٔ Gang Xiang, Vladik Kreinovich (auth.), Patricia Melin, Oscar Castillo, Luis T. Aguilar, Janusz Kacprzyk, Witold Pedrycz (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

This book comprises a selection of papers from IFSA 2007 on new methods and theories that contribute to the foundations of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an imp- tant contribution to the theory and applications of fuzzy logic and soft c- puting methodologies. Soft computing consists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. The papers of IFSA 2007 also make a contribution to this goal. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to achieve intelligent solutions to complex problems. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the papers contained in the book. The book is divided into 14 main parts.Eachpart contains a set of papers on a common subject, so that the reader can ?nd similar papers grouped together. Some of these parts comprise the papers of organized sessions of IFSA 2007 and we thank the session organizers for their incredible job in forming these sessions with invited and regular paper submissions. Front Matter....Pages - Front Matter....Pages 1-1 Estimating Variance Under Interval and Fuzzy Uncertainty: Case of Hierarchical Estimation....Pages 3-12 Testing Stochastic Arithmetic and CESTAC Method Via Polynomial Computation....Pages 13-22 Friction Model by Using Fuzzy Differential Equations....Pages 23-32 From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interval, p-Box, and Fuzzy Uncertainty....Pages 33-42 Non-commutative System of Fuzzy Interval Logic Generated by the Checklist Paradigm Measure m 3 Containing Early Zadeh Implication....Pages 43-55 Points with Type-2 Operations....Pages 56-65 Front Matter....Pages 67-67 Atanassov’s Intuitionistic Fuzzy Sets as a Classification Model....Pages 69-75 Classification with Nominal Data Using Intuitionistic Fuzzy Sets....Pages 76-85 Intuitionistic Fuzzy Histograms of an Image....Pages 86-95 Image Threshold Using A-IFSs Based on Bounded Histograms....Pages 96-103 The Role of Entropy in Intuitionistic Fuzzy Contrast Enhancement....Pages 104-113 Representation of Rough Sets Based on Intuitionistic Fuzzy Special Sets....Pages 114-121 Front Matter....Pages 123-123 Towards Vague Query Answering in Logic Programming for Logic-Based Information Retrieval....Pages 125-134 On Browsing Domain Ontologies for Information Base Content....Pages 135-144 Fuzzy Tree Mining: Go Soft on Your Nodes....Pages 145-154 Numerical Properties of Fuzzy Regions: Surface Area....Pages 155-161 Qualification of Fuzzy Statements Under Fuzzy Certainty....Pages 162-170 Weighted Conjunctive and Disjunctive Aggregation of Possibilistic Truth Values....Pages 171-180 Bipolar Queries Using Various Interpretations of Logical Connectives....Pages 181-190 A Hierarchical Approach to Object Comparison....Pages 191-198 Front Matter....Pages 123-123 FuzzyXPath: Using Fuzzy Logic an IR Features to Approximately Query XML Documents....Pages 199-208 Front Matter....Pages 209-209 Designing Representative Bodies When the Voter Preferences Are Fuzzy....Pages 211-219 Possibility Based Modal Semantics for Graded Modifiers....Pages 220-230 New Perspective for Structural Learning Method of Neural Networks....Pages 231-240 Front Matter....Pages 241-241 Web Usage Mining Via Fuzzy Logic Techniques....Pages 243-252 Deduction Engine Design for PNL-Based Question Answering System....Pages 253-262 Granular Computing and Modeling the Human Thoughts in Web Documents....Pages 263-270 Front Matter....Pages 271-271 Extracting Fuzzy Linguistic Summaries Based on Including Degree Theory and FCA....Pages 273-283 Linguistic Summarization of Time Series by Using the Choquet Integral....Pages 284-294 Visualization of Possibilistic Potentials....Pages 295-303 Front Matter....Pages 305-305 Selection Criteria for Fuzzy Unsupervised Learning: Applied to Market Segmentation....Pages 307-317 Fuzzy Backpropagation Neural Networks for Nonstationary Data Prediction....Pages 318-327 Fuzzy Model Based Iterative Learning Control for Phenol Biodegradation....Pages 328-337 Fuzzy Modelling Methodologies for Large Database....Pages 338-347 Front Matter....Pages 349-349 On Possibilistic/Fuzzy Optimization....Pages 351-360 The Use of Interval-Valued Probability Measures in Optimization Under Uncertainty for Problems Containing a Mixture of Fuzzy, Possibilisitic, and Interval Uncertainty....Pages 361-370 On Selecting an Algorithm for Fuzzy Optimization....Pages 371-380 A Risk-Minimizing Model Under Uncertainty in Portfolio....Pages 381-391 Front Matter....Pages 393-393 Weighted Pattern Trees: A Case Study with Customer Satisfaction Dataset....Pages 395-406 Fuzziness and Performance: An Empirical Study with Linguistic Decision Trees....Pages 407-416 Front Matter....Pages 417-417 Semi–Boolean and Hyper–Archimedean BL –Algebras....Pages 419-426 A Fuzzy Hahn-Banach Theorem....Pages 427-435 The Algebraic Properties of Linguistic Value “Truth” and Its Reasoning....Pages 436-444 Fuzzy Subgroups with Meet Operation in the Connection of Möbius Transformations....Pages 445-450 A Method for Automatic Membership Function Estimation Based on Fuzzy Measures....Pages 451-460 Counting Finite Residuated Lattices....Pages 461-470 On Proofs and Rule of Multiplication in Fuzzy Attribute Logic....Pages 471-480 Graded Fuzzy Rules....Pages 481-490 On External Measures for Validation of Fuzzy Partitions....Pages 491-501 Coherence Index of Radial Conjunctive Fuzzy Systems....Pages 502-512 Topology in Fuzzy Class Theory: Basic Notions....Pages 513-522 Features of Mathematical Theories in Formal Fuzzy Logic....Pages 523-532 A New Method to Compare Dynamical Systems....Pages 533-542 Advances in the Geometrical Study of Rotation-Invariant T-Norms....Pages 543-552 Fuzzy Reversed Posynomial Geometric Programming and Its Dual Form....Pages 553-562 Posynomial Fuzzy Relation Geometric Programming....Pages 563-572 Front Matter....Pages 573-573 A Vector Similarity Measure for Type-1 Fuzzy Sets....Pages 575-583 On Approximate Representation of Type-2 Fuzzy Sets Using Triangulated Irregular Network....Pages 584-593 Hybrid Control for an Autonomous Wheeled Mobile Robot Under Perturbed Torques....Pages 594-603 Type-2 Fuzzy Logic for Improving Training Data and Response Integration in Modular Neural Networks for Image Recognition....Pages 604-612 Front Matter....Pages 613-613 A Fuzzy Model for Olive Oil Sensory Evaluation....Pages 615-624 An Interval-Based Index Structure for Structure Elucidation in Chemical Databases....Pages 625-634 Fuzzy Cognitive Layer in RoboCupSoccer....Pages 635-645 An Approach to Theory of Fuzzy Discrete Signals....Pages 646-655 Using Gradual Numbers for Solving Fuzzy-Valued Combinatorial Optimization Problems....Pages 656-665 Fuzzy Classifier with Probabilistic IF-THEN Rules....Pages 666-676 Fuzzy Adaptive Search Method for Parallel Genetic Algorithm Tuned by Evolution Degree Based on Diversity Measure....Pages 677-687 Fuzzy Controller for Robot Manipulators....Pages 688-697 Collaboration Between Hyperheuristics to Solve Strip-Packing Problems....Pages 698-707 Front Matter....Pages 709-709 Discrete-Time Recurrent High Order Neural Observer for Induction Motors....Pages 711-721 Strict Generalization in Multilayered Perceptron Networks....Pages 722-731 Fault Tolerant Control of a Three Tank Benchmark Using Weighted Predictive Control....Pages 732-742 Synchronization in Arrays of Chaotic Neural Networks....Pages 743-754 Front Matter....Pages 755-755 On Fuzzy Projection-Based Utility Decomposition in Compound Multi-agent Negotiations....Pages 757-766 Conditional Dempster-Shafer Theory for Uncertain Knowledge Updating....Pages 767-777 Ant Colony Optimization Applied to Feature Selection in Fuzzy Classifiers....Pages 778-788 Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems....Pages 789-798 Beam-ACO Distributed Optimization Applied to Supply-Chain Management....Pages 799-809 A Cultural Algorithm with Operator Parameters Control for Solving Timetabling Problems....Pages 810-819 On Control for Agents Formation....Pages 820-828 Back Matter....Pages - This book comprises a selection of papers from IFSA 2007 on new methods and theories that contribute to the foundations of fuzzy logic and soft computing. These papers were selected from over 400 submissions and constitute an imp- tant contribution to the theory and applications of fuzzy logic and soft c- puting methodologies. Soft computing consists of several computing paradigms, including fuzzy logic, neural networks, genetic algorithms, and other techniques, which can be used to produce powerful intelligent systems for solving real-world problems. The papers of IFSA 2007 also make a contribution to this goal. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to achieve intelligent solutions to complex problems. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the papers contained in the book. The book is divided into 14 main parts. Eachpart contains a set of papers on a common subject, so that the reader can?nd similar papers grouped together. Some of these parts comprise the papers of organized sessions of IFSA 2007 and we thank the session organizers for their incredible job in forming these sessions with invited and regular paper submissions This book comprises a selection of papers from IFSA 2007 on new methods and theories that contribute to the foundations of fuzzy logic and soft computing. Coverage includes the application of fuzzy logic and soft computing in flexible querying, philosophical and human-scientific aspects of soft computing, search engine and information processing and retrieval, as well as intelligent agents and knowledge ant colony.
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