Ebook: Analysis and Design of Intelligent Systems using Soft Computing Techniques

This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas.

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This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas.

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This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas.

Content:
Front Matter....Pages -
Fuzzy Logic as the Logic of Natural Languages....Pages 1-2
Front Matter....Pages 3-3
A Method for Response Integration in Modular Neural Networks with Type-2 Fuzzy Logic for Biometric Systems....Pages 5-15
Evolving Type-2 Fuzzy Logic Controllers for Autonomous Mobile Robots....Pages 16-25
Adaptive Type-2 Fuzzy Logic for Intelligent Home Environment....Pages 26-35
Interval Type-1 Non-singleton Type-2 TSK Fuzzy Logic Systems Using the Hybrid Training Method RLS-BP....Pages 36-44
An Efficient Computational Method to Implement Type-2 Fuzzy Logic in Control Applications....Pages 45-52
Building Fuzzy Inference Systems with the Interval Type-2 Fuzzy Logic Toolbox....Pages 53-62
Evolutionary Computing for Topology Optimization of Type-2 Fuzzy Systems....Pages 63-75
Front Matter....Pages 77-77
Comparison of the Performance of Seven Classifiers as Effective Decision Support Tools for the Cytodiagnosis of Breast Cancer: A Case Study....Pages 79-87
MFCM for Nonlinear Blind Channel Equalization....Pages 88-98
Fuzzy Rules Extraction from Support Vector Machines for Multi-class Classification....Pages 99-108
Density Based Fuzzy Support Vector Machines for Multicategory Pattern Classification....Pages 109-118
A Modified FCM Algorithm for Fast Segmentation of Brain MR Images....Pages 119-127
Incorporation of Non-euclidean Distance Metrics into Fuzzy Clustering on Graphics Processing Units....Pages 128-139
Fuzzy C-Means, Gustafson-Kessel FCM, and Kernel-Based FCM: A Comparative Study....Pages 140-149
Improved Fuzzy C-Means Segmentation Algorithm for Images with Intensity Inhomogeneity....Pages 150-159
Front Matter....Pages 161-161
A Fuzzy-Neural Hierarchical Multi-model for Systems Identification and Direct Adaptive Control....Pages 163-172
Robust Speed Controller Design Method Based on Fuzzy Control for Torsional Vibration Suppression in Two-Mass System....Pages 173-184
Self-organizing Fuzzy Controller Based on Fuzzy Neural Network....Pages 185-194
Decision Making Strategies for Real-Time Train Dispatch and Control....Pages 195-204
Front Matter....Pages 161-161
Soft Margin Training for Associative Memories Implemented by Recurrent Neural Networks....Pages 205-214
Front Matter....Pages 215-215
Modular Neural Networks with Fuzzy Integration Applied for Time Series Forecasting....Pages 217-225
Predicting Job Completion Time in a Wafer Fab with a Recurrent Hybrid Neural Network....Pages 226-235
A Hybrid ANN-FIR System for Lot Output Time Prediction and Achievability Evaluation in a Wafer Fab....Pages 236-245
M-Factor High Order Fuzzy Time Series Forecasting for Road Accident Data....Pages 246-254
Fuzzy Time Series: A Realistic Method to Forecast Gross Domestic Capital of India....Pages 255-264
Design of Modular Neural Networks with Fuzzy Integration Applied to Time Series Prediction....Pages 265-273
Front Matter....Pages 275-275
Characterize the Parameters of Genetic Algorithms Based on Zernike Polynomials for Recovery of the Phase of Interferograms of Closed Fringes Using Hybrid Technique....Pages 277-289
Rotated Coin Recognition Using Neural Networks....Pages 290-297
Selected Problems of Intelligent Handwriting Recognition....Pages 298-305
3-D Object Recognition Using an Ultrasonic Sensor Array and Neural Networks....Pages 306-315
Soft System for Road Sign Detection....Pages 316-326
Nonlinear Neuro-fuzzy Network for Channel Equalization....Pages 327-336
On the Possibility of Reliably Constructing a Decision Support System for the Cytodiagnosis of Breast Cancer....Pages 337-345
Spatial Heart Simulation and Analysis Using Unified Neural Network....Pages 346-354
A Method for Creating Ensemble Neural Networks Using a Sampling Data Approach....Pages 355-364
Pattern Recognition Using Modular Neural Networks and Fuzzy Integral as Method for Response Integration....Pages 365-373
Front Matter....Pages 375-375
A Differential Evolution Algorithm for Fuzzy Extension of Functions....Pages 377-386
Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection....Pages 387-396
A Dissimilation Particle Swarm Optimization-Based Elman Network and Applications for Identifying and Controlling Ultrasonic Motors....Pages 397-407
Front Matter....Pages 375-375
A Cultural Algorithm for Solving the Set Covering Problem....Pages 408-415
Integration of Production and Distribution Planning Using a Genetic Algorithm in Supply Chain Management....Pages 416-426
Bacteria Swarm Foraging Optimization for Dynamical Resource Allocation in a Multizone Temperature Experimentation Platform....Pages 427-435
An Ant Colony Optimization plug-in to Enhance the Interpretability of Fuzzy Rule Bases with Exceptions....Pages 436-444
Performance Improvement of the Attitude Estimation System Using Fuzzy Inference and Genetic Algorithms....Pages 445-454
Multi Objective Optimization in Machining Operations....Pages 455-462
Evolutionary Computing for the Optimization of Mathematical Functions....Pages 463-472
Providing Intelligence to Evolutionary Computational Methods....Pages 473-481
Front Matter....Pages 483-483
Representing Fuzzy Numbers for Fuzzy Calculus....Pages 485-494
Fuzzy Parallel Processing of Hydro Power Plants – Why Not?....Pages 495-503
A Dynamic Method of Experiment Design of Computer Aided Sensory Evaluation....Pages 504-510
Measure of Uncertainty in Regional Grade Variability....Pages 511-518
PC-TOPSIS Method for the Selection of a Cleaning System for Engine Maintenance....Pages 519-529
Coordination Uncertainty of Belief Measures in Information Fusion....Pages 530-538
Two-Input Fuzzy TPE Systems....Pages 539-548
Intelligent Decision Support System....Pages 549-557
An Adaptive Location Service on the Basis of Fuzzy Logic for MANETs....Pages 558-565
Front Matter....Pages 567-567
Fuzzy Logic Based Replica Management Infrastructure for Balanced Resource Allocation and Efficient Overload Control of the Complex Service-Oriented Applications....Pages 569-579
A Fuzzy-Neural Approach with BPN Post-classification for Job Completion Time Prediction in a Semiconductor Fabrication Plant....Pages 580-589
Enhanced Genetic Algorithm-Based Fuzzy Multiobjective Strategy to Multiproduct Batch Plant Design....Pages 590-599
Front Matter....Pages 567-567
Extension or Resolution: A Novel Approach for Reasoning in Possibilistic Logic....Pages 600-607
Applying Genetic-Fuzzy Approach to Model Polyester Dyeing....Pages 608-617
Gear Fault Diagnosis in Time Domains by Using Bayesian Networks....Pages 618-627
An Intelligent Hybrid Algorithm for Job-Shop Scheduling Based on Particle Swarm Optimization and Artificial Immune System....Pages 628-637
Fuzzy Multi-criteria Decision Making Method for Machine Selection....Pages 638-648
Fuzzy Goal Programming and an Application of Production Process....Pages 649-659
The Usage of Fuzzy Quality Control Charts to Evaluate Product Quality and an Application....Pages 660-673
Front Matter....Pages 675-675
An Intelligent Belief-Desire-Intention Agent for Digital Game-Based Learning....Pages 677-685
Improved Scheme for Telematics Fault Tolerance with Agents....Pages 686-695
Multi-agent Based Integration of Production and Distribution Planning Using Genetic Algorithm in the Supply Chain Management....Pages 696-706
Modeling and Simulation by Petri Networks of a Fault Tolerant Agent Node....Pages 707-716
Front Matter....Pages 717-718
The Game of Life Using Polynomial Discrete Time Cellular Neural Networks....Pages 719-726
Reinforcement Learning in Continuous Systems: Wavelet Networks Approach....Pages 727-736
Support Vector Machine-Based ECG Compression....Pages 737-745
Tuning FCMP to Elicit Novel Time Course Signatures in fMRI Neural Activation Studies....Pages 746-755
Front Matter....Pages 757-757
Moving Object Tracking Using the Particle Filter and SOM in Robotic Space with Network Sensors....Pages 759-768
Robust Stability Analysis of a Fuzzy Vehicle Lateral Control System Using Describing Function Method....Pages 769-779
Self-tunable Fuzzy Inference System: A Comparative Study for a Drone....Pages 780-789
Optimal Path Planning for Autonomous Mobile Robot Navigation Using Ant Colony Optimization and a Fuzzy Cost Function Evaluation....Pages 790-798
Intelligent Control and Planning of Autonomous Mobile Robots Using Fuzzy Logic and Multiple Objective Genetic Algorithms....Pages 799-807
Front Matter....Pages 809-809
Generalized Reinforcement Learning Fuzzy Control with Vague States....Pages 811-820
New Cluster Validity Index with Fuzzy Functions....Pages 821-830
A Fuzzy Model for Supplier Selection and Development....Pages 831-841
A Neuro-fuzzy Multi-objective Design of Shewhart Control Charts....Pages 842-852
Back Matter....Pages -

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This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas.

Content:
Front Matter....Pages -
Fuzzy Logic as the Logic of Natural Languages....Pages 1-2
Front Matter....Pages 3-3
A Method for Response Integration in Modular Neural Networks with Type-2 Fuzzy Logic for Biometric Systems....Pages 5-15
Evolving Type-2 Fuzzy Logic Controllers for Autonomous Mobile Robots....Pages 16-25
Adaptive Type-2 Fuzzy Logic for Intelligent Home Environment....Pages 26-35
Interval Type-1 Non-singleton Type-2 TSK Fuzzy Logic Systems Using the Hybrid Training Method RLS-BP....Pages 36-44
An Efficient Computational Method to Implement Type-2 Fuzzy Logic in Control Applications....Pages 45-52
Building Fuzzy Inference Systems with the Interval Type-2 Fuzzy Logic Toolbox....Pages 53-62
Evolutionary Computing for Topology Optimization of Type-2 Fuzzy Systems....Pages 63-75
Front Matter....Pages 77-77
Comparison of the Performance of Seven Classifiers as Effective Decision Support Tools for the Cytodiagnosis of Breast Cancer: A Case Study....Pages 79-87
MFCM for Nonlinear Blind Channel Equalization....Pages 88-98
Fuzzy Rules Extraction from Support Vector Machines for Multi-class Classification....Pages 99-108
Density Based Fuzzy Support Vector Machines for Multicategory Pattern Classification....Pages 109-118
A Modified FCM Algorithm for Fast Segmentation of Brain MR Images....Pages 119-127
Incorporation of Non-euclidean Distance Metrics into Fuzzy Clustering on Graphics Processing Units....Pages 128-139
Fuzzy C-Means, Gustafson-Kessel FCM, and Kernel-Based FCM: A Comparative Study....Pages 140-149
Improved Fuzzy C-Means Segmentation Algorithm for Images with Intensity Inhomogeneity....Pages 150-159
Front Matter....Pages 161-161
A Fuzzy-Neural Hierarchical Multi-model for Systems Identification and Direct Adaptive Control....Pages 163-172
Robust Speed Controller Design Method Based on Fuzzy Control for Torsional Vibration Suppression in Two-Mass System....Pages 173-184
Self-organizing Fuzzy Controller Based on Fuzzy Neural Network....Pages 185-194
Decision Making Strategies for Real-Time Train Dispatch and Control....Pages 195-204
Front Matter....Pages 161-161
Soft Margin Training for Associative Memories Implemented by Recurrent Neural Networks....Pages 205-214
Front Matter....Pages 215-215
Modular Neural Networks with Fuzzy Integration Applied for Time Series Forecasting....Pages 217-225
Predicting Job Completion Time in a Wafer Fab with a Recurrent Hybrid Neural Network....Pages 226-235
A Hybrid ANN-FIR System for Lot Output Time Prediction and Achievability Evaluation in a Wafer Fab....Pages 236-245
M-Factor High Order Fuzzy Time Series Forecasting for Road Accident Data....Pages 246-254
Fuzzy Time Series: A Realistic Method to Forecast Gross Domestic Capital of India....Pages 255-264
Design of Modular Neural Networks with Fuzzy Integration Applied to Time Series Prediction....Pages 265-273
Front Matter....Pages 275-275
Characterize the Parameters of Genetic Algorithms Based on Zernike Polynomials for Recovery of the Phase of Interferograms of Closed Fringes Using Hybrid Technique....Pages 277-289
Rotated Coin Recognition Using Neural Networks....Pages 290-297
Selected Problems of Intelligent Handwriting Recognition....Pages 298-305
3-D Object Recognition Using an Ultrasonic Sensor Array and Neural Networks....Pages 306-315
Soft System for Road Sign Detection....Pages 316-326
Nonlinear Neuro-fuzzy Network for Channel Equalization....Pages 327-336
On the Possibility of Reliably Constructing a Decision Support System for the Cytodiagnosis of Breast Cancer....Pages 337-345
Spatial Heart Simulation and Analysis Using Unified Neural Network....Pages 346-354
A Method for Creating Ensemble Neural Networks Using a Sampling Data Approach....Pages 355-364
Pattern Recognition Using Modular Neural Networks and Fuzzy Integral as Method for Response Integration....Pages 365-373
Front Matter....Pages 375-375
A Differential Evolution Algorithm for Fuzzy Extension of Functions....Pages 377-386
Use of Pareto-Optimal and Near Pareto-Optimal Candidate Rules in Genetic Fuzzy Rule Selection....Pages 387-396
A Dissimilation Particle Swarm Optimization-Based Elman Network and Applications for Identifying and Controlling Ultrasonic Motors....Pages 397-407
Front Matter....Pages 375-375
A Cultural Algorithm for Solving the Set Covering Problem....Pages 408-415
Integration of Production and Distribution Planning Using a Genetic Algorithm in Supply Chain Management....Pages 416-426
Bacteria Swarm Foraging Optimization for Dynamical Resource Allocation in a Multizone Temperature Experimentation Platform....Pages 427-435
An Ant Colony Optimization plug-in to Enhance the Interpretability of Fuzzy Rule Bases with Exceptions....Pages 436-444
Performance Improvement of the Attitude Estimation System Using Fuzzy Inference and Genetic Algorithms....Pages 445-454
Multi Objective Optimization in Machining Operations....Pages 455-462
Evolutionary Computing for the Optimization of Mathematical Functions....Pages 463-472
Providing Intelligence to Evolutionary Computational Methods....Pages 473-481
Front Matter....Pages 483-483
Representing Fuzzy Numbers for Fuzzy Calculus....Pages 485-494
Fuzzy Parallel Processing of Hydro Power Plants – Why Not?....Pages 495-503
A Dynamic Method of Experiment Design of Computer Aided Sensory Evaluation....Pages 504-510
Measure of Uncertainty in Regional Grade Variability....Pages 511-518
PC-TOPSIS Method for the Selection of a Cleaning System for Engine Maintenance....Pages 519-529
Coordination Uncertainty of Belief Measures in Information Fusion....Pages 530-538
Two-Input Fuzzy TPE Systems....Pages 539-548
Intelligent Decision Support System....Pages 549-557
An Adaptive Location Service on the Basis of Fuzzy Logic for MANETs....Pages 558-565
Front Matter....Pages 567-567
Fuzzy Logic Based Replica Management Infrastructure for Balanced Resource Allocation and Efficient Overload Control of the Complex Service-Oriented Applications....Pages 569-579
A Fuzzy-Neural Approach with BPN Post-classification for Job Completion Time Prediction in a Semiconductor Fabrication Plant....Pages 580-589
Enhanced Genetic Algorithm-Based Fuzzy Multiobjective Strategy to Multiproduct Batch Plant Design....Pages 590-599
Front Matter....Pages 567-567
Extension or Resolution: A Novel Approach for Reasoning in Possibilistic Logic....Pages 600-607
Applying Genetic-Fuzzy Approach to Model Polyester Dyeing....Pages 608-617
Gear Fault Diagnosis in Time Domains by Using Bayesian Networks....Pages 618-627
An Intelligent Hybrid Algorithm for Job-Shop Scheduling Based on Particle Swarm Optimization and Artificial Immune System....Pages 628-637
Fuzzy Multi-criteria Decision Making Method for Machine Selection....Pages 638-648
Fuzzy Goal Programming and an Application of Production Process....Pages 649-659
The Usage of Fuzzy Quality Control Charts to Evaluate Product Quality and an Application....Pages 660-673
Front Matter....Pages 675-675
An Intelligent Belief-Desire-Intention Agent for Digital Game-Based Learning....Pages 677-685
Improved Scheme for Telematics Fault Tolerance with Agents....Pages 686-695
Multi-agent Based Integration of Production and Distribution Planning Using Genetic Algorithm in the Supply Chain Management....Pages 696-706
Modeling and Simulation by Petri Networks of a Fault Tolerant Agent Node....Pages 707-716
Front Matter....Pages 717-718
The Game of Life Using Polynomial Discrete Time Cellular Neural Networks....Pages 719-726
Reinforcement Learning in Continuous Systems: Wavelet Networks Approach....Pages 727-736
Support Vector Machine-Based ECG Compression....Pages 737-745
Tuning FCMP to Elicit Novel Time Course Signatures in fMRI Neural Activation Studies....Pages 746-755
Front Matter....Pages 757-757
Moving Object Tracking Using the Particle Filter and SOM in Robotic Space with Network Sensors....Pages 759-768
Robust Stability Analysis of a Fuzzy Vehicle Lateral Control System Using Describing Function Method....Pages 769-779
Self-tunable Fuzzy Inference System: A Comparative Study for a Drone....Pages 780-789
Optimal Path Planning for Autonomous Mobile Robot Navigation Using Ant Colony Optimization and a Fuzzy Cost Function Evaluation....Pages 790-798
Intelligent Control and Planning of Autonomous Mobile Robots Using Fuzzy Logic and Multiple Objective Genetic Algorithms....Pages 799-807
Front Matter....Pages 809-809
Generalized Reinforcement Learning Fuzzy Control with Vague States....Pages 811-820
New Cluster Validity Index with Fuzzy Functions....Pages 821-830
A Fuzzy Model for Supplier Selection and Development....Pages 831-841
A Neuro-fuzzy Multi-objective Design of Shewhart Control Charts....Pages 842-852
Back Matter....Pages -
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