Recent Developments and New Direction in Soft-Computing Foundations and Applications

This book reports on advanced theories and cutting-edge applications in the field of soft computing. The individual chapters, written by leading researchers, are based on contributions presented during the 4^th World Conference on Soft Computing, held May 25-27, 2014, in Berkeley. The book covers a wealth of key topics in soft computing, focusing on both fundamental aspects and applications. The former include fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation and neural networks, while the latter include soft computing in data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling. By providing readers with a timely, authoritative view on the field, and by discussing thought-provoking developments and challenges, the book will foster new research directions in the diverse areas of soft computing.

Table of Contents

Part I Educational and Human-Related Issues
Chapter 1 Software Implementation Methodology of Intelligent Information Systems of Learning and Knowledge Control (IISLKC)
Chapter 2 Functioning of Control Module of Learning Materials
Chapter 3 Fuzzy Multi-scenario Approach to Decision-Making Support in Human Resource Management
Chapter 4 Learning User Intentions in Natural Language Call Routing Systems

Part II Aggregation
Chapter 5 Bipolarity and Multipolarity in Aggregation Structures
Chapter 6 Choquet Integral with Interval Type 2 Sugeno Measures as an Integration Method for Modular Neural Networks

Part III Decision-Making
Chapter 7 Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky’s Empirical Decision Weights
Chapter 8 A Fuzzy Multiagent Approach for Integrated Product Life Cycle Environment

Part IV Image Processing and Pattern Recognition
Chapter 9 Fuzzy Information Measure for Improving HDR Imaging
Chapter 10 Optimization of Type-1 and Type-2 Fuzzy Systems Applied to Pattern Recognition
Chapter 11 Optimization by Cuckoo Search of Interval Type-2 Fuzzy Logic Systems for Edge Detection

Part V Classification and Clustering
Chapter 12 Comparing the Properties of Meta-heuristic Optimization Techniques with Various Parameters on a Fuzzy Rule-Based Classifier
Chapter 13 A Neural Network with a Learning Vector Quantization Algorithm for Multiclass Classification Using a Modular Approach
Chapter 14 Interval Type-2 Fuzzy Possibilistic C-Means Clustering Algorithm

Part VI Data Analysis and Its Applications
Chapter 15 Fuzzy-Based Mechanisms for Selection and Recommendation Processes
Chapter 16 Association Measures on Sets with Involution and Similarity Measure
Chapter 17 Two-Phase Memetic Modifying Transformation for Solving the Task of Providing Group Anonymity
Chapter 18 Querying Cyber-Networks Using Words
Chapter 19 On the Concept of Big Data Analysis
Chapter 20 Interaction Using Qualitative Data

Part VII Optimization and Differential Equations
Chapter 21 Analysis of Chaotic and Stochastic Causes Started in Solutions to Deterministic Nonlinear Differential Equations
Chapter 22 Soft Computing Approaches for Two-Dimensional Beamforming

Part VIII Evolutionary Methods in Applications
Chapter 23 Design of Ensemble Neural Networks for Predicting the US Dollar/MX Time Series with Particle Swarm Optimization
Chapter 24 Genetic Optimization of Type-1 and Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction
Chapter 25 Sustainable Supplier Selection: A New Differential Evolution Strategy with Automotive Industry Application
Chapter 26 A Comparative Study of Membership Functions for an Interval Type-2 Fuzzy System Used for Dynamic Parameter Adaptation in Particle Swarm Optimization

Part IX Control and Modeling
Chapter 27 Models for Indicating the Period of Failure of Industrial Objects
Chapter 28 Optimization of an Integrator to Control the Flight of an Airplane
Chapter 29 Comparative Study of Bio-inspired Algorithms Applied in the Design of Fuzzy Controller for the Water Tank
Chapter 30 Mathematical Model of Ecopyrogenesis Reactor with Fuzzy Parametrical Identification
Chapter 31 Synthesis and Optimization of Fuzzy Controller for Thermoacoustic Plant
Chapter 32 Analytical Models of WLAN Standard IEEE 802.11
Chapter 33 Neural Network-Based Approach for Design and Modeling Evolution Processes of Economic Clusters

Part X Soft Computing in Informatics
Chapter 34 Classification of Air Quality Monitoring Stations Using Fuzzy Similarity Measures: A Case Study
Chapter 35 Modeling of Decision Maker Under Imperfect Information
Chapter 36 Expert Knowledge Base in Integrated Maintenance Models for Engineering Plants