Semantic Methods for Knowledge Management and Communication 2011

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1、Rados? law Katarzyniak,Tzu-Fu Chiu,Chao-Fu Hong,and Ngoc Thanh Nguyen (Eds.) Semantic Methods for Knowledge Management and Communication Studies in Computational Intelligence,Volume 381 Editor-in-Chief Prof.Janusz Kacprzyk Systems Research Institute PolishAcademy of Sciences ul.Newelska 6 01-447Wars

2、aw Poland E-mail: kacprzykibspan.waw.pl Further volumes of this series can be found on our homepage: Vol.359.Xin-SheYang,andSlawomir Koziel (Eds.) Computational Optimizationand Applicationsin Engineering and Industry,2011 ISBN978-3-642-20985-7 Vol.360.Mikhail Moshkov and Beata Zielosko Combinatorial

3、 MachineLearning,2011 ISBN978-3-642-20994-9 Vol.361.Vincenzo Pallotta,Alessandro Soro,and EloisaVargiu (Eds.) Advances in DistributedAgent-Based Retrieval Tools, 2011 ISBN978-3-642-21383-0 Vol.362.Pascal Bouvry,Horacio Gonzlez-Vlez,and Joanna Kolodziej (Eds.) IntelligentDecision Systems in Large-Sca

4、le Distributed Environments, 2011 ISBN978-3-642-21270-3 Vol.363.Kishan G.Mehrotra,Chilukuri Mohan,Jae C.Oh, PramodK.Varshney,andMoonis Ali (Eds.) DevelopingConcepts inAppliedIntelligence,2011 ISBN978-3-642-21331-1 Vol.364.Roger Lee (Ed.) Computer and Information Science,2011 ISBN978-3-642-21377-9 Vo

5、l.365.Roger Lee (Ed.) Computers, Networks, Systems, and Industrial Engineering2011,2011 ISBN978-3-642-21374-8 Vol.366.Mario Kppen,Gerald Schaefer,and Ajith Abraham (Eds.) IntelligentComputational Optimizationin Engineering,2011 ISBN978-3-642-21704-3 Vol.367.Gabriel Luque and Enrique Alba Parallel Ge

6、neticAlgorithms, 2011 ISBN978-3-642-22083-8 Vol.368.Roger Lee (Ed.) Software Engineering,Artifi cialIntelligence,Networking and Parallel/DistributedComputing 2011,2011 ISBN978-3-642-22287-0 Vol.369.Dominik Ry_ zko,Piotr Gawrysiak,HenrykRybinski, and Marzena Kryszkiewicz (Eds.) Emerging IntelligentTe

7、chnologies in Industry,2011 ISBN978-3-642-22731-8 Vol.370.Alexander Mehler,Kai-Uwe Khnberger, Henning Lobin,Harald Lngen,Angelika Storrer,and AndreasWitt (Eds.) Modeling,Learning,and Processing of Text TechnologicalData Structures, 2011 ISBN 978-3-642-22612-0 Vol.371.Leonid Perlovsky,Ross Deming,and

8、 Roman Ilin (Eds.) Emotional Cognitive NeuralAlgorithms with Engineering Applications,2011 ISBN 978-3-642-22829-2 Vol.372.Ant onio E.Ruano and Annam ariaR.V arkonyi-K oczy (Eds.) New Advances in IntelligentSignal Processing,2011 ISBN 978-3-642-11738-1 Vol.373.Oleg Okun,GiorgioValentini,andMatteo Re

9、(Eds.) Ensembles in MachineLearningApplications,2011 ISBN 978-3-642-22909-1 Vol.374.Dimitri Plemenos and Georgios Miaoulis (Eds.) IntelligentComputer Graphics 2011,2011 ISBN 978-3-642-22906-0 Vol.375.Marenglen Bibaand Fatos Xhafa (Eds.) LearningStructure and Schemas from Documents, 2011 ISBN 978-3-6

10、42-22912-1 Vol.376.Toyohide Watanabe and Lakhmi C.Jain (Eds.) Innovations in IntelligentMachines 2,2011 ISBN 978-3-642-23189-6 Vol.377.Roger Lee (Ed.) Software EngineeringResearch,Management and Applications2011,2011 ISBN 978-3-642-23201-5 Vol.378.Jnos Fodor,Ryszard Klempous,and Carmen Paz Surez Ara

11、ujo (Eds.) Recent Advances in IntelligentEngineeringSystems, 2011 ISBN 978-3-642-23228-2 Vol.379.Ferrante Neri,Carlos Cotta,and Pablo Moscato (Eds.) Handbook of Memetic Algorithms, 2011 ISBN 978-3-642-23246-6 Vol.380.Anthony Brabazon,Michael ONeill,and Dietmar Maringer (Eds.) Natural Computingin Com

12、putational Finance,2011 ISBN 978-3-642-23335-7 Vol.381.Rados? law Katarzyniak,Tzu-Fu Chiu, Chao-Fu Hong,and Ngoc Thanh Nguyen (Eds.) Semantic Methods for Knowledge Management and Communication,2011 ISBN 978-3-642-23417-0 Rados? law Katarzyniak,Tzu-Fu Chiu,Chao-Fu Hong, and Ngoc Thanh Nguyen (Eds.) S

13、emantic Methods for Knowledge ManagementandCommunication 123 Editors Prof.Rados? law Katarzyniak Institute of Informatics Wroc? law University of Technology Str.Wybrze zeWyspia nskiego27 50-370Wroc? law,Poland E-mail: radoslaw.katarzyniakpwr.wroc.pl Prof.Tzu-Fu Chiu Department of Industrial Manageme

14、nt test(ai2);.;test(aiM). Obviously, each attribute ain refers to a particular level of the classification tree. It is further assumed that each run of classification procedure is carried out until the final test test(aiM) is completed or the next test to be realized cannot be completed due to an un

15、known value of the related attribute e.g. test(ai) has been realized but due to an unknown value of ai+1 the test test(ai+1) is not to be launched at all (see Example 1). Such classification procedure is an easy case of a very rich class of decision tree-based classification schemes e.g. 8. A Multia

16、gent System for Consensus-Based Integration of Semi-Hierarchical Partitions 5 Example 1. Let O=o1,o2,o3,o4,o5,o6,o7, A=a,b,c, Va=a1,a2, Vb=b1,b2,b3, and Vc=c1,c2 be objects, attributes, and domains of attributes, respectively. Let the classification procedure be defined by the following sequence test(a);test(b);test(c). The related decision tree produced by this sequence is presented on Fig. 1 and Fig. 2. On Fig. 2 and Fig. 2 two classifications C1 and C2 are prese

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