Titel: Modern Information Processing: From Theory to Applications
Herausgegeben von Bernadette Bouchon-Meunier, Giulianella Coletti, Ronald R. Yager
ELSEVIER SCIENCE & TECHNOLOGY
April 2006 - gebunden - 468 Seiten
The volume "Modern Information Processing: From Theory to Applications," edited by Bernadette Bouchon-Meunier, Giulianella Coletti and Ronald Yager, is a collection of carefully selected papers drawn from the program of IPMU'04, which was held in Perugia, Italy. The book represents the cultural policy of IPMU conference which is not focused on narrow range of methodologies, but on the contrary welcomes all the theories for the management of uncertainty and aggregation of information in intelligent systems, providing a medium for the exchange of ideas between theoreticians and practitioners in these and related areas. The book is composed by 7 sections: UNCERTAINTYPREFERENCESCLASSIFICATION AND DATA MININGAGGREGATION AND MULTI-CRITERIA DECISION MAKINGKNOWLEDGE REPRESENTATION The book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations. The book can help to build brigs among theories and methods methods for the management of uncertainty. The book addresses issues which have a position of centrality in our information-centric world. The book presents interesting results devoted to representing knowledge: the goal is to capture the subtlety of human knowledge (richness) and to allow computer manipulation (formalization). The book contributes to the goal: an efficient use of the information for a good decision strategy.APPLIED DOMAINS The book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations. The book can help to build brigs among theories and methods methods for the management of uncertainty. The book addressesissues which have a position of centrality in our information-centric world. The book presents interesting results devoted to representing knowledge: the goal is to capture the subtlety of human knowledge (richness) and to allow computer manipulation (formalization). T
Foreword. L.A. Zadeh Uncertainty Entropies, Characterizations, Applications and Some History, J. Aczel Belief function theory on the continuous space with an application to model based classification, B. Ristic, P.Smets Independence in conditional possibility theory, G. Coletti, B. Vantaggi Joint treatment of imprecision and randomness in uncertainty propagation, C. Baudrit, D. Dubois, D. Guyonnet, H. Fargier Consistency of probabilistic transformations of belief functions, M. Daniel Randomization and uncertain inference, H. E. Kyburg, Jr., C. M. Teng An empirical complexity study for a 2CPA solver, M. Baioletti,
A. Capotorti, S. Tulipani Preferences Consistency in preference modelling, J-L. Garcia-Lapresta, J. Montero Transitive decomposition of min-transitive fuzzy preference relations, S. Diaz,
B. De Baets, S. Montes Decision making with fuzzy ternary relations, S. Ovchinnikov New Consistency properties for preference relations, F. Chiclana, E. Herrera-Viedma, F. Herrera Management of uncertainty orderings through ASP, A. Capotorti, A. Formisano Classification and Data Mining Automating the quality assurance of an on-line knowledge-based classifier by fusing multiple off-line classifiers, P. Bonissone Qualitative classification with possibilistic decision trees, N. Ben Amor, S. Benferhat, Z.Elouedi Discovery of abstract knowledge from non-atomic attribute values in fuzzy relations, R. A. Angryk, F. E. Petry Kernel-based outlier preserving clustering with representativity coefficients, M.J. Lesot Fuzzy C-medoids clustering models for time-varying data, R. Coppi, P. DUrso, P. Giordani Improving the K2 algorithm using association rule parameters, E. Lamma, F. Riguzzi, S. Storari Aggregation and Multi-Criteria Decision Making OWA aggregation on an interval argument and operative values, R. Yager On bi-capacity-based concordance rules in multicriteria decision making, A. Rolland Information Evaluation in fusion: Formalization of informal recommendations, L. Cholvy Application of uncertainty-based methods to fuse language identification expert decisions, J. Gutierrez, J-L Rouas, R. Andre-Obrecht Intelligent multiattribute decision support model for triage, F. Burstein, J. San Pedro, L. Churilov, J.Wassertheil Interval-based multicriteria decision making, M. Ceberio, F. Modave A linguistic hierarchical evaluation model for engineering systems, L. Martinez, L. G. Perez, J. Liu, J.-B.o Yang, F. Herrera Knowledge Representation Non monotonic aggregates applying to fuzzy sets in flexible querying, P. Bosc, L. Lietard Fuzzy spatial data modeling: an extended bitmap approach, J. Verstraete, G. De Tre, A. Hallez Introducing l-specialization into the fuzzy EER model, G. Chen, L. Lin, X. Guo A logical reasoning framework for modelling and merging uncertain semi-structured information, A. Hunter, W. Liu Applied Domains Machine learning and the prediction of protein structure: the state of the art, R.Casadio, R. Calabrese, E. Capriotti, M. Compiani, P. Fariselli, P. Marani, L. Montanucci, P. L. Martelli, I. Rossi, G. Tasco Efficient and robust global amino-acid sequence alignment with uncertain evolutionary distance, M. Troffaes Classifying biomedical spectra using stochastic feature selection and parallelized multi-layer perceptrons, N.J. Pizzi, R.L. Somorjai, W. Pedrycs On the sensitivity of probabilistic networks to reliability characteristics, L.
C. van der Gaag, S. Renooij Dominance of recognition of words presented on right or left eye Comparison of Kanji and hiragana, T. Yamanoi, T. Yamazaki, J-L Vercher, E. Sanchez, M. Sugeno Hand posture recognition with the fuzzy glove, T. Allevard, E. Benoit, L. Foulloy Image retrieval by composition of regions, J.F. Omhover, M. Detyniecki Blind Image restoration from multiple views by IMAP estimation, M. Discepoli, I. Gerace, R. Pandolfi A combined feature extraction method for an electronic nose, I. Hristozov, B.Iliev, S. Eskiizmirliler Author Index.