Rough Sets and Current Trends in Computing Book

	Introduction
	Rough Sets: Trends, Challenges, and Prospects	1
	To What Extent Can Computers Aid Human Activity? Toward Second Phase Information Technology	8
	Rough Sets and Decision Algorithms	30
	Toward a Perception-Based Theory of Probabilistic Reasoning	46
	Situation Identification by Unmanned Aerial Vehicle	49
	Rough-Neuro Computing	57
	Approximation of Information Granule Sets	65
	Probabilistic Inference and Bayesian Theorem on Rough Sets	73
	Interpreting Fuzzy Membership Functions in the Theory of Rough Sets	82
	Dynamic System Visualization with Rough Performance Maps	90
	Approximation Spaces of Type-Free Sets	98
	RSES and RSESlib - A Collection of Tools for Rough Set Computations	106
	An Investigation of [beta]-Reduct Selection Within the Variable Precision Rough Sets Model	114
	Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts	123
	Scalable Feature Selection Using Rough Set Theory	131
	On Algorithm for Constructing of Decision Trees With Minimal Number of Nodes	139
	Rough Set-Based Dimensionality Reduction for Multivariate Adaptive Regression Splines	144
	Rough and Fuzzy-Rough Classification Methods Implemented in RClass System	152
	Rough Set Approach to Decisions Under Risk	160
	Variable Consistency Model of Dominance-Based Rough Sets Approach	170
	Approximations and Rough Sets Based on Tolerances	182
	A Rough Set Approach to Inductive Logic Programming	190
	Classification of Infinite Information Systems	199
	Some Remarks on Extensions and Restrictions of Information Systems	204
	Valued Tolerance and Decision Rules	212
	A Conceptual View of Knowledge Bases in Rough Set Theory	220
	Computer Vision Using Fuzzy Logic for Robot Manipulator (Lab. Implementation)	229
	On Fuzzy Lattice	238
	Fuzzy-Logic-Based Adaptive Control for a Class of Nonlinear Discrete-Time System	243
	Conditional Probability Relations in Fuzzy Relational Database	251
	A New Class of Necessity Measures and Fuzzy Rough Sets Based on Certainty Qualifications	261
	A Fuzzy Approach for Approximating Formal Concepts	269
	On Axiomatic Characterizations of Fuzzy Approximation Operators (I. The Fuzzy Rough Set Based Case)	277
	LEM3 Algorithm Generalization Based on Stochastic Approximation Space	286
	Using the Apriori Algorithm to Improve Rough Sets Results	291
	An Application for Knowledge Discovery Based on a Revision of VPRS Model	296
	An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle	304
	Data Mining for Monitoring Loose Parts in Nuclear Power Plants	314
	Supervised Learning: A Generalized Rough Set Approach	322
	Unification of Knowledge Discovery and Data Mining Using Rough Sets Approach in a Real-World Application	330
	The Application of a Distance Learning Algorithm in Web-Based Course Delivery	338
	Searching Decision Rules in Very Large Databases Using Rough Set Theory	346
	On Efficient Construction of Decision Trees from Large Databases	354
	An Approach to Statistical Extension of Rough Set Rule Induction	362
	The Inconsistency in Rough Set Based Rule Generation	370
	A Comparison of Several Approaches to Missing Attribute Values in Data Mining	378
	Discovering Motiv Based Association Rules in a Set of DNA Sequences	386
	Inducing Theory for the Rule Set	391
	Some Basics of a Self Organizing Map (SOM) Extended Model for Information Discovery in a Digital Library Context	399
	Handling Data with Plural Sources in Databases	404
	Research Topics Discovery from WWW by Keywords Association Rules	412
	Temporal Templates and Analysis of Time Related Data	420
	Constraint Based Incremental Learning of Classification Rules	428
	A Hybrid Model for Rule Discovery in Data	436
	Rough Sets in Approximate Spatial Reasoning	445
	A Study of Conditional Independence Change in Learning Probabilistic Network	454
	[lambda]-Level Rough Equality Relation and the Inference of Rough Paramodulation	462
	Annotated Semantics for Defeasible Deontic Reasoning	470
	Spatial Reasoning via Rough Sets	479
	Decomposition of Boolean Relations and Functions in Logic Synthesis and Data Analysis	487
	Diagnostic Reasoning from the Viewpoint of Rough Sets	495
	Rough Set Approach to CBR	503
	Rough Sets for Uncertainty Reasoning	511
	Feature Subset Selection by Neuro-rough Hybridization	519
	Accurate Estimation of Motion Vectors Using Active Block Matching	527
	Anytime Algorithm for Feature Selection	532
	Reconstruction in an Original Video Sequence of the Lost Region Occupied by Caption Areas	540
	Determining Influence of Visual Cues on the Perception of Surround Sound Using Soft Computing	545
	Application of Normalized Decision Measures to the New Case Classification	553
	An Application of Rough Sets and Haar Wavelets to Face Recognition	561
	Detecting Spots for NASA Space Programs Using Rough Sets	569
	Solving the Localization-Detection Trade-Off in Shadow Recognition Problems Using Rough Sets	577
	A Modular Neural Network for Vague Classification	584
	Evolutionary Parsing for a Probabilistic Context Free Grammar	590
	The Application of Genetic Programming in Milk Yield Prediction For Dairy Cows	598
	Localization of Sound Sources by Means of Recurrent Neural Networks	603
	Towards Rough Neural Computing Based on Rough Membership Functions Theory and Application	611
	The Nature of Crossover Operator in Genetic Algorithms	619
	The Behaviour of the Complex Integral Neural Network	624
	On Trace Assertion Method of Module Interface Specification with Concurrency	632
	A Proposal for Including Behavior in the Process of Object Similarity Assessment with Examples from Artificial Life	642
	How Can Help an Inductive Approach in the Resolution of a Problematic [alpha] Problem?	647
	A Timed Petri Net Interpreter: An Alternative Method for Simulation	652
	An Agent-Based Soft Computing Society	661
	Author Index	669