Rough Sets and Current Trends in Computing

by Greco, Salvatore; Hata, Yukata; Hirano, Shoji; Inuiguchi, Masahiro; Miyamoto, Sadaaki

• ISBN13: 9783540476931
• ISBN10: 3540476938
• Format: Paperback
• Copyright: 2006-06-30
• Publisher: Springer Verlag

Summary

This book constitutes the refereed proceedings of the 5th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2006, held in Kobe, Japan in November 2006. The 91 revised full papers presented together with 5 invited papers and 2 commemorative papers were carefully reviewed and selected from 332 submissions. The papers are organized in topical sections on logics in rough sets, logics in fuzzy sets, fuzzy-rough hybridization, approximate and uncertain reasoning, variable precision rough set models, incomplete/nondeterministic information systems, decision support, multi-criteria decision support, rough sets in KDD, rough sets in medicine, granular computing, grey systems, ontology and mereology, statistical methods, machine learning, clustering, data mining, evolutionary computing, intelligent information systems, pattern recognition and image processing, as well as data clustering: algorithms and applications.

Table of Contents

Decision trees and flow graphs	p. 1
Granular computing - the concept of generalized constraint-based computation	p. 12
Bipolar representations in reasoning, knowledge extraction and decision processes	p. 15
Kansei engineering and rough sets model	p. 27
Stochastic approach to rough set theory	p. 38
Zdzislaw Pawlak commemorating his life and work	p. 49
Pawlak rough set model, medical reasoning and rule mining	p. 53
Algebras of terms in Pawlak's information systems	p. 71
Monads can be rough	p. 77
On testing membership to maximal consistent extensions of information systems	p. 85
The research of rough sets in normed linear space	p. 91
Two kinds of rough algebras and Brouwer-Zadeh lattices	p. 99
Balanced fuzzy gates	p. 107
Triangle algebras : towards an axiomatization of interval-valued residuated lattices	p. 117
An approach to parameterized approximation of crisp and fuzzy sets	p. 127
Rough fuzzy set approximations in fuzzy formal contexts	p. 137
Webpage classification with ACO-enhanced fuzzy-rough feature selection	p. 147
Association reducts : complexity and heuristics	p. 157
Planning based on reasoning about information changes	p. 165
Rough approximation operators in covering approximation spaces	p. 174
A new method for discretization of continuous attributes based on VPRS	p. 183
On variable consistency dominance-based rough set approaches	p. 191
Variable-precision dominance-based rough set approach	p. 203
Applying rough sets to data tables containing imprecise information under probabilistic interpretation	p. 213
Ensembles of decision rules for solving binary classification problems in the presence of missing values	p. 224
Expanding tolerance RST models based on cores of maximal compatible blocks	p. 235
Local and global approximations for incomplete data	p. 244
Missing template decomposition method and its implementation in rough set exploration system	p. 254
On possible rules and apriori algorithm in non-deterministic information systems	p. 264
Generalized conflict and resolution model with approximation spaces	p. 274
Rough set approach to customer satisfaction analysis	p. 284
Utility function induced by fuzzy target in probabilistic decision making	p. 296
Dominance-based rough set approach to decision involving multiple decision makers	p. 306
Quality of rough approximation in multi-criteria classification problems	p. 318
Rough-set multiple-criteria ABC analysis	p. 328
A method of generating decision rules in object-oriented rough set models	p. 338
Knowledge reduction in set-valued decision information system	p. 348
Local reducts and jumping emerging patterns in relational databases	p. 358
Mining rough association from text documents	p. 368
NetTRS induction and postprocessing of decision rules	p. 378
Outlier detection based on rough membership function	p. 388
An approach to a rough set based disease inference engine for ECG classification	p. 398
Attribute selection for EEC signal classification using rough sets and neural networks	p. 408
Automatic planning of treatment of infants with respiratory failure through rough set modeling	p. 418
Developing a decision model for asthma exacerbations : combining rough sets and expert-driven selection of clinical attributes	p. 428
A GrC-based approach to social network data protection	p. 438
An interpretation of flow graphs by granular computing	p. 448
Attribute reduction based on granular computing	p. 458
Methodological identification of information granules-based fuzzy systems by means of genetic optimization	p. 467
Optimization of information granulation-oriented fuzzy set model using hierarchical fair competition-based parallel genetic algorithms	p. 477
A grey-based rough set approach to suppliers selection problem	p. 487
A hybrid grey-based dynamic model for international airlines amount increase prediction	p. 497
On the combination of rough set theory and grey theory based on grey lattice operations	p. 507
An ontology-based first-order modal logic	p. 517
Enhancing a biological concept ontology to fuzzy relational ontology with relations mined from text	p. 527
On a parthood specification method for component software	p. 537
Ontology driven concept approximation	p. 547
A statistical method for determining importance of variables in an information system	p. 557
Distribution of determinants of contingency matrix	p. 567
Interpretation of contingency matrix using marginal distributions	p. 577
A model of machine learning based on user preference of attributes	p. 587
Combining bi-gram of character and word to classify two-class Chinese texts in two steps	p. 597
Combining Monte Carlo filters with support vector machines for option price forecasting	p. 607
Domain knowledge assimilation by learning complex concepts	p. 617
Learning compound decision functions for sequential data in dialog with experts	p. 627
Sampling of virtual examples to improve classification accuracy for nominal attribute data	p. 637
A fuzzy-possibilistic fuzzy ruled clustering algorithm for RBFNNs design	p. 647
A partitive rough clustering algorithm	p. 657
A zone-based method for selecting clusterheads in wireless sensor networks	p. 667
An agglomerative hierarchical clustering by finding adjacent hyper-rectangles	p. 677
Evaluating learning models for a rule evaluation support method based on objective indices	p. 687
Mining the most interesting patterns from multiple phenotypes medical data	p. 696
Risk mining : mining nurses' incident factors and application of mining results to prevention of incidents	p. 706
Rule quality measures in creation and reduction of data rule models	p. 716
A distributed hybrid heuristics of mean field annealing and genetic algorithm for load balancing problem	p. 726
Enhancing global search ability of quantum-behaved particle swarm optimization by maintaining diversity of the swarm	p. 736
Identification and speed control of ultrasonic motors based on modified immune algorithm and Elman neural networks	p. 746
A hybrid and intelligent system for predicting lot output time in a semiconductor fabrication factory	p. 757
Combining SOM and GA-CBR for flow time prediction in semiconductor manufacturing factory	p. 767
Developing intelligent applications in social e-mail networks	p. 776
Functional extension of the RSDS system	p. 786
Hybrid music filtering for recommendation based ubiquitous computing environment	p. 796
A novel color image watermarking method based on genetic algorithm and hybrid neural networks	p. 806
Calibration of omnidirectional camera by considering inlier distribution	p. 815
Modified Hough transform for images containing many textured regions	p. 824
Relative color polygons for object detection and recognition	p. 834
Rough set based image segmentation of video sequences	p. 844
Two dimensional laplacianfaces method for face recognition	p. 852
Unsupervised learning of image recognition with neural society for clustering	p. 862
A framework for unsupervised selection of indiscernibility threshold in rough clustering	p. 872
A fuzzy neighborhood model for clustering, classification, and approximations	p. 882
A proposal for comparison of impression evaluation data among individuals by using clustering method based on distributed structure of data	p. 891
Extending microaggregation procedures for time series protection	p. 899
Lattice-valued hierarchical clustering for analyzing information systems	p. 909
Postsupervised hard c-means classifier	p. 918
Rule induction via clustering decision classes	p. 928
Several formulations for graded possibilistic approach to fuzzy clustering	p. 939
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