Titolo: Rough Sets and Current Trends in Computing: 4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004, Proceedings (Lecture Notes in Computer Science, 3066)
Editore: Springer
Data di pubblicazione: 2004
Lingua: Inglese
ISBN 10: 3540221174
ISBN 13: 9783540221173
Rilegatura: Brossura
Condizione: New

Descrizione articolo

Riassunto

In recent years rough set theory has attracted the attention of many researchers and practitioners all over the world, who have contributed essentially to its development and applications. Weareobservingagrowingresearchinterestinthefoundationsofroughsets, including the various logical, mathematical and philosophical aspects of rough sets. Some relationships have already been established between rough sets and other approaches, and also with a wide range of hybrid systems. As a result, rough sets are linked with decision system modeling and analysis of complex systems, fuzzy sets, neural networks, evolutionary computing, data mining and knowledge discovery, pattern recognition, machine learning, and approximate reasoning. In particular, rough sets are used in probabilistic reasoning, granular computing (including information granule calculi based on rough mereology), intelligent control, intelligent agent modeling, identi?cation of autonomous s- tems, and process speci?cation. Methods based on rough set theory alone or in combination with other - proacheshavebeendiscoveredwith awide rangeofapplicationsinsuchareasas: acoustics, bioinformatics, business and ?nance, chemistry, computer engineering (e.g., data compression, digital image processing, digital signal processing, p- allel and distributed computer systems, sensor fusion, fractal engineering), de- sion analysis and systems, economics, electrical engineering (e.g., control, signal analysis, power systems), environmental studies, informatics, medicine, mole- lar biology, musicology, neurology, robotics, social science, software engineering, spatial visualization, Web engineering, and Web mining.

Contenuti

Plenary Papers.- Decision Networks.- Toward Rough Set Foundations. Mereological Approach.- Generalizations of Rough Sets: From Crisp to Fuzzy Cases.- Theory.- Investigation about Time Monotonicity of Similarity and Preclusive Rough Approximations in Incomplete Information Systems.- The Ordered Set of Rough Sets.- A Comparative Study of Formal Concept Analysis and Rough Set Theory in Data Analysis.- Structure of Rough Approximations Based on Molecular Lattices.- Rough Approximations under Level Fuzzy Sets.- Fuzzy-Rough Modus Ponens and Modus Tollens as a Basis for Approximate Reasoning.- Logic and Rough Sets.- Rough Truth, Consequence, Consistency and Belief Revision.- A Note on Ziarko’s Variable Precision Rough Set Model and Nonmonotonic Reasoning.- Fuzzy Reasoning Based on Propositional Modal Logic.- Granular Computing.- Approximation Spaces and Information Granulation.- Granular Language and Its Applications in Problem Solving.- Belief Reasoning, Revision and Fusion by Matrix Algebra.- Rough and Fuzzy Relations.- On the Correspondence between Approximations and Similarity.- Toward Rough Knowledge Bases with Quantitative Measures.- Considering Semantic Ambiguity and Indistinguishability for Values of Membership Attribute in Possibility-Based Fuzzy Relational Models.- Foundations of Data Mining.- Research on Integrating Ordbms and Rough Set Theory.- Feature Subset Selection Based on Relative Dependency between Attributes.- Granular Computing on Extensional Functional Dependencies for Information System.- Greedy Algorithm for Decision Tree Construction in Context of Knowledge Discovery Problems.- GAMInG – A Framework for Generalization of Association Mining via Information Granulation.- Mining Un-interpreted Generalized Association Rules by Linear Inequalities.- A Graded Applicability of Rules.- On the Degree of Independence of a Contingency Matrix.- K Nearest Neighbor Classification with Local Induction of the Simple Value Difference Metric.- A Note on the Regularization Algorithm.- Incomplete Information Systems.- Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation.- Data Decomposition and Decision Rule Joining for Classification of Data with Missing Values.- Interestingness.- Bayesian Confirmation Measures within Rough Set Approach.- Discovering Maximal Potentially Useful Association Rules Based on Probability Logic.- Semantics and Syntactic Patterns in Data.- Multiagents and Information Systems.- Dialogue in Rough Context.- Constrained Sums of Information Systems.- Defeasible Deontic Control for Discrete Events Based on EVALPSN.- Fuzzy Logic and Modeling.- Rough Set Based Fuzzy Modeling by Occupancy Degree and Optimal Partition of Projection.- A Novel High Performance Fuzzy Controller Applied to Traffic Control of ATM Networks.- Design of a Speed Drive Based on Fuzzy Logic for a Dual Three-Phase Induction Motor.- Rough Classification.- Rough Set Theory Analysis on Decision Subdivision.- Rough Set Methods in Approximation of Hierarchical Concepts.- Classifiers Based on Two-Layered Learning.- Rough Fuzzy Integrals for Information Fusion and Classification.- Rough Sets and Probabilities.- Towards Jointree Propagation with Conditional Probability Distributions.- Condition Class Classification Stability in RST due to Continuous Value Discretisation.- The Rough Bayesian Model for Distributed Decision Systems.- Variable Precision Rough Set Model.- On Learnability of Decision Tables.- Remarks on Approximation Quality in Variable Precision Fuzzy Rough Sets Model.- The Elucidation of an Iterative Procedure to �-Reduct Selection in the Variable Precision Rough Sets Model.- Spatial Reasoning.- A Logic-Based Framework for Qualitative Spatial Reasoning in Mobile GIS Environment.- Spatial Object Modeling in Intuitionistic Fuzzy Topological Spaces.- Rough Spatial Interpretation.- Reduction.- A Scalable Rough Set Knowledge Reduction Algorithm.- Tree-Like Parallelization of Reduct and Construct Computation.- Heuristically Fast Finding of the Shortest Reducts.- Study on Reduct and Core Computation in Incompatible Information Systems.- The Part Reductions in Information Systems.- Rule Induction.- Rules from Belief Networks: A Rough Set Approach.- The Bagging and n 2-Classifiers Based on Rules Induced by MODLEM.- A Parallel Approximate Rule Extracting Algorithm Based on the Improved Discernibility Matrix.- Decision Rules in Multivalued Decision Systems.- Multicriteria Choice and Ranking Using Decision Rules Induced from Rough Approximation of Graded Preference Relations.- Measuring the Expected Impact of Decision Rule Application.- Detection of Differences between Syntactic and Semantic Similarities.- Rough Sets and Neural Network.- Processing of Musical Data Employing Rough Sets and Artificial Neural Networks.- Integration of Rough Set and Neural Network for Application of Generator Fault Diagnosis.- Harnessing Classifier Networks – Towards Hierarchical Concept Construction.- Associative Historical Knowledge Extraction from the Structured Memory.- Clustering.- Utilizing Rough Sets and Multi-objective Genetic Algorithms for Automated Clustering.- Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method.- K-means Indiscernibility Relation over Pixels.- A New Cluster Validity Function Based on the Modified Partition Fuzzy Degree.- Data Mining.- On the Evolution of Rough Set Exploration System.- Discovering Maximal Frequent Patterns in Sequence Groups.- Fuzzy Taxonomic, Quantitative Database and Mining Generalized Association Rules.- Pattern Mining for Time Series Based on Cloud Theory Pan-concept-tree.- Using Rough Set Theory for Detecting the Interaction Terms in a Generalized Logit Model.- Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System.- A Contribution to Decision Tree Construction Based on Rough Set Theory.- Image and Signal Recognition.- Domain Knowledge Approximation in Handwritten Digit Recognition.- An Automatic Analysis System for Firearm Identification Based on Ballistics Projectile.- Granulation Based Image Texture Recognition.- Radar Emitter Signal Recognition Based on Resemblance Coefficient Features.- Vehicle Tracking Using Image Processing Techniques.- Classification of Swallowing Sound Signals: A Rough Set Approach.- Emotional Temporal Difference Learning Based Multi-layer Perceptron Neural Network Application to a Prediction of Solar Activity.- Information Retrieval.- Musical Metadata Retrieval with Flow Graphs.- A Fuzzy-Rough Method for Concept-Based Document Expansion.- Use of Preference Relation for Text Categorization.- Decision Support.- An Expert System for the Utilisation of the Variable Precision Rough Sets Model.- Application of Decision Units in Knowledge Engineering.- Fuzzy Decision Support System with Rough Set Based Rules Generation Method.- Approximate Petri Nets for Rule-Based Decision Making.- Adaptive and Opminization Methods.- Adaptive Linear Market Value Functions for Targeted Marketing.- Using Markov Models to Define Proactive Action Plans for Users at Multi-viewpoint Websites.- A Guaranteed Global Convergence Particle Swarm Optimizer.- Adaptive Dynamic Clone Selection Algorithms.- Multiobjective Optimization Based on Coevolutionary Algorithm.- Bioinformatics.- Extracting Protein-Protein Interaction Sentences by Applying Rough Set Data Analysis.- Feature Synthesis and Extraction for the Construction of Generalized Properties of Amino Acids.- Improvement of the Needleman-Wunsch Algorithm.- The Alignment of the Medical Subject Headings to the Gene Ontology and Its Application in Gene Annotation.- Medical Applications.- Rough Set Methodology in Clinical Practice: Controlled Hospital Trial of the MET System.- An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts.- Rough Set-Based Classification of EEG-Signals to Detect Intraoperative Awareness: Comparison of Fuzzy and Crisp Discretization of Real Value Attributes.- Fuzzy Logic-Based Modeling of the Biological Regulator of Blood Glucose.- Bibliography Project of International Rough Set Society.- The Rough Set Database System: An Overview.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Descrizione libreria

Hello! Ria Christie Collections is an online venture that was initially set up in 2012 to sell books. We do not have a physical high street store. We are professional online booksellers. We only sell brand new books in perfect condition that we source from various suppliers and the publishers. Primarily, our aim is to provide an excellent service to all our customers. We always work as a team to achieve this. Our other objectives are to: 1. Ensure that all our products reach their destination quickly in a safe and secure manner 2. Answer to all our customer queries within 24 hours 3. Ensure that our customers are happy with their purchases 4. Provide all the items at a competitive price 5. Always listen to our customers Ria Christie Collections is not a registered company. It is a Sole Trader venture. Other key information is shown below: Contact Person Name: Rakesh Luchmun (Mr) Storefront Name: Ria Christie Collections Place of Establishment Address: Suite B; ARUN House; ARUN Building Arundel Road Uxbridge UB8 2RR United Kingdom E-Mail Address: riachristie@hotmail.co.uk VAT Number: GB 160 5650 25 We always work hard and aim to comply with all of Abebooks Policies. If you have any issues, please do not hesitate to write to us whether before or after a purchase. We promise to reply to you promptly and, in any case, within 24 hours. Thank you kindly! Yours sincerely Mr Rakesh Luchmun (Founder) and the Ria Christie Collections Team

Visita la pagina della libreria

Informazioni sull?azienda del venditore

Ryefield Investments Limited
175 Pield Heath Road, Uxbridge, UB8 3NL, United Kingdom

Condizioni di vendita e spedizione

Condizioni di vendita

All Returns and Refund are as per Abebooks policies.

Diritto di recesso

Se sei un consumatore, puoi esercitare il tuo diritto di recesso seguendo le istruzioni riportate di seguito. Per "consumatore" si intende qualsiasi persona fisica che agisca per fini che non rientrano nel quadro della sua attivit� commerciale, industriale, artigianale o professionale.

Informazioni relative al diritto di recesso

Diritto di recesso

Hai il diritto di recedere dal presente contratto, senza indicarne le ragioni, entro 14 giorni.

Il periodo di recesso scade dopo 14 giorni dal giorno in cui

tu acquisisci, o un terzo designato diverso dal vettore e da te acquisisce, il possesso fisico dell'ultimo bene o l'ultimo lotto o pezzo.

Per esercitare il diritto di recesso, sei tenuto a informare Ria Christie Collections, Suite B; (inside) ARUN House; ARUN, Arundel Road; Uxbridge Ind Est, UB8 2RR, Uxbridge, United Kingdom, +44 7727654838, della tua decisione di recedere dal presente contratto tramite una dichiarazione esplicita (ad esempio lettera inviata per posta, fax o posta elettronica). A tal fine puoi utilizzare il modulo tipo di recesso, ma non e' obbligatorio. Puoi anche compilare e inviare elettronicamente il modulo tipo di recesso o qualsiasi altra esplicita dichiarazione sul nostro sito web, dalla sezione "Ordini" nel "Mio Account". Nel caso scegliessi questa opzione, ti trasmetteremo senza indugio una conferma di ricevimento su un supporto durevole (ad esempio per posta elettronica).

Per rispettare il termine di recesso, � sufficiente inviare la comunicazione relativa all'esercizio del diritto di recesso prima della scadenza del periodo di recesso.

Effetti del recesso

Se recedi dal presente contratto, ti saranno rimborsati tutti i pagamenti che hai effettuato a nostro favore, compresi i costi di consegna (ad eccezione dei costi supplementari derivanti dalla tua eventuale scelta di un tipo di consegna diverso dal tipo meno costoso di consegna standard da noi offerto). Potremo trattenere dal rimborso le somme derivanti da una diminuzione del valore del prodotto risultante da una tua non necessaria manipolazione.

I rimborsi verranno effettuati senza indebito ritardo e in ogni caso non oltre 14 giorni dal giorno in cui siamo stati informati della tua decisione di recedere dal presente contratto.

Detti rimborsi saranno effettuati utilizzando lo stesso mezzo di pagamento da te usato per la transazione iniziale, salvo che tu non abbia espressamente convenuto altrimenti; in ogni caso, non dovrai sostenere alcun costo quale conseguenza di tale rimborso. Il rimborso pu� essere sospeso fino al ricevimento dei beni oppure fino all'avvenuta dimostrazione da parte tua di aver rispedito i beni, se precedente.

Ti preghiamo di rispedire i beni o di consegnarli a Ria Christie Collections, Suite B; (inside) ARUN House; ARUN Building, Arundel Road; Uxbridge Ind Est, UB8 2RR, Uxbridge, United Kingdom, +44 7727654838, senza indebiti ritardi e in ogni caso entro 14 giorni dal giorno in cui hai comunicato il tuo recesso dal presente contratto. Il termine � rispettato se rispedisci i beni prima della scadenza del periodo di 14 giorni. I costi diretti della restituzione dei beni saranno a tuo carico. Sei responsabile solo della diminuzione del valore dei beni risultante da una manipolazione del bene diversa da quella necessaria per stabilire la natura, le caratteristiche e il funzionamento dei beni.

Eccezioni al diritto di recesso

Il diritto di recesso non si applica in caso di:

fornitura di giornali, periodici e riviste ad eccezione dei contratti di abbonamento per la fornitura di tali pubblicazioni;
fornitura di contenuto digitale (inclusi applicazioni, MP3, ecc.) mediante un supporto non materiale (per esempio un CD o un DVD) se al momento dell'inoltro dell'ordine hai espressamente consentito all'inizio dell'esecuzione accettando la perdita del diritto di recesso in conseguenza dell'inizio di esecuzione.

Modulo di recesso tipo

(Compilare e restituire il presente modulo solo se si desidera recedere dal contratto)

Destinatario: (Ria Christie Collections, Suite B; (inside) ARUN House; ARUN, Arundel Road; Uxbridge Ind Est, UB8 2RR, Uxbridge, United Kingdom, +44 7727654838)

Con la presente io/noi (*) notifichiamo il recesso dal mio/nostro (*) contratto di vendita dei seguenti beni/servizi (*)

Ordinato il (*) /ricevuto il (*)

Nome del/dei consumatore(i)

Indirizzo del/dei consumatore(i)

Firma del/dei consumatore(i) (solo se il presente modulo � notificato in versione cartacea)

Data

(*) Cancellare la dicitura inutile.

Condizioni di spedizione

Orders usually ship within 2 business days. If your book order is heavy or oversized, we may contact you to let you know extra shipping is required. Thank you!

Tariffe di spedizione da Regno Unito a U.S.A.

Tariffe di spedizione da Regno Unito a U.S.A.
Quantit� dell?ordine	Da 6 a 12 giorni lavorativi	Da 6 a 12 giorni lavorativi
Primo articolo	EUR 13.75	EUR 13.75

I tempi di consegna sono stabiliti dai venditori e variano in base al corriere e al paese. Gli ordini che devono attraversare una dogana possono subire ritardi e spetta agli acquirenti pagare eventuali tariffe o dazi associati. I venditori possono contattarti in merito ad addebiti aggiuntivi dovuti a eventuali maggiorazioni dei costi di spedizione dei tuoi articoli.