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E-Book

E-Book, Englisch, Band 54, 662 Seiten

Reihe: Advances in Intelligent and Soft Computing

Cao / Kacprzyk / Zhang Fuzzy Information and Engineering

Volume 1
2009
ISBN: 978-3-540-88914-4
Verlag: Springer Berlin Heidelberg
Format: PDF
Kopierschutz: 1 - PDF Watermark

Volume 1

E-Book, Englisch, Band 54, 662 Seiten

Reihe: Advances in Intelligent and Soft Computing

ISBN: 978-3-540-88914-4
Verlag: Springer Berlin Heidelberg
Format: PDF
Kopierschutz: 1 - PDF Watermark



This book is the proceedings of the Third Annual Conference on Fuzzy Information and Engineering (ACFIE2008) from Dec. 5-10, 2008 in Haikou, China. The conf- ence proceedingsis published by Springer-Verlag(Advancesin Soft Computing,ISSN: 1615-3871). This year, we have received 155 submissions. Each paper has undergone a rigorous review process. Only high-quality papers are included. The Third Annual Conference on Fuzzy Information and Engineering (ACFIE2008), built on the success of previous conferences,the ACFIE2005 (Guangzhou,China), is a major symposium for scientists, engineers and practitioners in China to present their updated results, ideas, devel- ments and applications in all areas of fuzzy information and engineering. It aims to strengthen relations between industry research laboratoriesand universities, and to c- ate a primary symposium for world scientists in fuzzy ?elds as follows: 1) Fuzzy intelligence, neural networks and optimal; 2) Fuzzy algebra; 3) Fuzzy analysis; 4) Fuzzy systems and logic; 5) Fuzzy topology and measure; 6)Fuzzy probability, control, forecasting and decision-making; 7) Fuzzy clustering and fuzzy algorithms; 8) Application in fuzzy sets; 9) Rough sets and its application; etc. This book contains 80 papers, divided into nine main parts: In Section I, we have 9 papers on 'fuzzy intelligence, neural networks and optimal'. In Section II, we have 11 papers on 'fuzzy algebra'. In Section III, we have 9 papers on 'fuzzy analysis'. In Section IV, we have 9 papers on 'fuzzy systems and logic'. In Section V, we have 9 papers on 'fuzzy topology and measure'.

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Weitere Infos & Material


1;Preface;6
2;Organization;8
3;Contents;11
4;Fuzzy Intelligence, Neural Networks and Optimal;18
4.1;An Improved Ant Colony Optimization Applied to Attributes Reduction;18
4.2;Saddle Point Optimality Conditions in Fuzzy Optimization Problems;24
4.3;Application of Artificial Neural Networks to Classify Water Quality of the Yellow River;32
4.4;Autonomous Mobile Intelligent Robots on Fuzzy System with Optimal Theories;41
4.5;Equivalence between Mizumoto Lattice Finite Automata;50
4.6;Fuzzy Neural Network Optimization by a Multi- Objective Differential Evolution Algorithm;55
4.7;Stability of Periodic Solution to Fuzzy BAM Neural Networks with Time- Varying Delays;61
4.8;Tactile Sensor Signal Processing with Artificial Neural Networks;71
4.9;Application of Fuzzy Theory to Binomial Option Pricing Model;80
5;Fuzzy Algebra;88
5.1;Power Relations and Their Properties;88
5.2;Presentation and Relationship of the Structure of Hypergroup;100
5.3;T-Fuzzy Subgroups with Thresholds;109
5.4;Existence and Uniqueness of Anti-fuzzy Ideal;118
5.5;Fuzzy Bayesian Discriminant on Two Non-fuzzy Groups;124
5.6;Normal MP-Filters of R0-Algebras;130
5.7;Lax Invariant in Coalgebra;136
5.8;Properties of Basic Fuzzy Implication Algebra;145
5.9;Directed Completions and DM-Completions on R Posets;152
5.10;The Intuitionistic Anti-fuzzy Subgroup in Group G;162
5.11;Generated Fuzzy Ideals and Its Lattice Structures in Semiring;169
6;Fuzzy Analysis;174
6.1;The Theoretical Methods of Constructing Fuzzy Inference Relations;174
6.2;The Fixed Point of Fuzzy Complex Number- Valued Mapping;187
6.3;L-Fuzzy Relative SP-Compact Sets;196
6.4;Fuzzy Complex Value Measure and Fuzzy Complex Value Measurable Function;204
6.5;..- Convergence Theory of Nets in L.- Spaces;210
6.6;Ranking Fuzzy Numbers Based on Ideal Solution;218
6.7;A Multi-criteria Decision Making Method on Intuitionistic Fuzzy Sets;227
6.8;Series of Hybrid Variables;235
6.9;On the Study of Linear Properties for Fuzzy- Number- Valued Fuzzy Integrals;244
7;Fuzzy Systems and Logic;250
7.1;Convex Interval and Fuzzy (Valued) Functions with Functionals;250
7.2;Grey Assignment Problems;262
7.3;Lattice Minimal Automata and Lattice Reduced Automata;268
7.4;Some Single Machine Scheduling Problems with an Actual Time- Dependent and Position- Dependent Learning Effect;275
7.5;Solving Fuzzy Linear Systems Based on the Structured Element Method;287
7.6;Solving General Fuzzy Linear Systems;294
7.7;Adaptive Failure Detection Algorithm for Grid Systems;305
7.8;Iterative Method for Dual Fuzzy Linear Systems;314
7.9;Logistic Randomized Response Model;322
8;Fuzzy Topology and Measure;332
8.1;.d-Convergence Theory in L.-Spaces;332
8.2;Fuzzy Hyper-Topological Group;341
8.3;The Y-Compactness in L-Fuzzy TopologicalSpaces;348
8.4;.-Connectivity in L-Fuzzy Topological Spaces;356
8.5;SSP-Urysohn Spaces in L-Topological Spaces;362
8.6;PS-Closedness in L-Topological Spaces;367
8.7;Entropy for Interval-Valued Fuzzy Sets;375
8.8;The Direction Entropies for Intuitionistic Fuzzy Sets;383
8.9;Similarity Measure and Fuzzy Entropy of Fuzzy Number Intuitionistic Fuzzy Sets;390
9;Fuzzy Probability, Forecasting and Control Decision-Making;397
9.1;Fuzzy Bayes Estimate of Linex Loss Function;397
9.2;A Possibilistic Mean Absolute Deviation Portfolio Selection Model;403
9.3;Dynamical Fluid Control Model on Fuzzy Control;414
9.4;Application of System NCF Method to Ice Flood Prediction of the Yellow River;421
9.5;Support Vector Machines Based on Sectional Set Fuzzy K- Means Clustering;437
9.6;Crime Pattern Discovery and Fuzzy Information Analysis Based on Optimal Intuition Decision- Making;443
9.7;Research on Fuzzy Multiple Objective Decision Model of Evaluation of Gas Well Deliverability;457
10;Fuzzy Clustering and Fuzzy Algorithms;465
10.1;New Modification of Fuzzy c-Means Clustering Algorithm;465
10.2;The Comparison about the Clustering Analysis Based on the Fuzzy Relation;473
10.3;Weighted Semi-supervised Fuzzy Clustering;482
10.4;Pattern Recognition and Classification for Tactile Sensor Based on Fuzzy Decision Tree;488
10.5;A Weighted-Path-Following Method for Monotone Horizontal Linear Complementarity Problem;496
10.6;Study on Image Segmentation Algorithm Based on Fuzzy Mathematical Morphology;505
10.7;The Premise Reduction of SMTT Inference Algorithm;513
10.8;Regional Economic Evaluation Method Based on Fuzzy C- Mean Clustering and Rough Set’s Property Importance Theory;520
11;Application in Fuzzy Sets;528
11.1;An Empirical Study on the Contribution of Export of Horticultural Products to the Growth of Agricultural Economy;528
11.2;A Portfolio Selection Problem with Fuzzy Return Rate;537
11.3;Approximation of Intersection of Grade and Precision;543
11.4;The FHSE Model and Its Application in SESS for Construction of GUT;548
11.5;Bayes Method of Multiple Fuzzy Assumptive Test of Vnilatent Truncation Distribution Model under Linex Loss;557
11.6;An New Initialization Method for Fuzzy c-Means Algorithm Based on Density;564
11.7;On Coordination of Supply Chain Based on Information Asymmetry of Effort Level and Fuzzy Market Environment;571
11.8;A Hybrid Particle Swarm Optimization Algorithm for Vehicle Routing Problem with Stochastic Travel Time;583
11.9;Networked Monitoring System Based on Embedded Dynamic Web;592
11.10;Research on Missile Supportability Evaluation;602
11.11;The Properties and Application of Target Nearness Degree;608
12;Rough Sets and Its Application;615
12.1;S-Rough Sets and F-Knowledge Hiding-Discovery;615
12.2;An Efficient Algorithm for Pawlak Reduction Based on Simplified Discernibility Matrix;627
12.3;The Characteristics of Singular Rough Sets on CS(K);637
12.4;A Characterization for Intuitionistic Fuzzy Sets Based on the Assistant Sets Generated by S- Rough Sets;644
12.5;Singular Rough Sets Method in Attribute Generalization;649
12.6;The IDC Membership Distance between Vague Sets and Its Application;657
12.7;(I, T)-Generalized Fuzzy Rough Sets Based on Fuzzy Composition Operations;664
13;Author Index;678



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