Modern Information Processing book cover

Modern Information Processing

From Theory to Applications

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

Audience
Researchers oriented to theory and application of methods for handling partial knowledge in intelligent systems. Also for Ph.D. students in mathematics and computer science. Nevertheless, the book is intended for a wider audience ranging from graduate students with proper background in mathematics and/or informatics.

Hardbound, 478 Pages

Published: February 2006

Imprint: Elsevier

ISBN: 978-0-444-52075-3

Contents

  • Foreword. L.A. Zadeh

    Uncertainty

    Entropies, Characterizations, Applications and Some History, J. Aczél

    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. García-Lapresta, J. Montero

    Transitive decomposition of min-transitive fuzzy preference relations, S. Díaz, 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. D’Urso, 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. Gutiérrez, J-L Rouas, R. Andre-Obrécht

    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. Martínez, 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. Liétard

    Fuzzy spatial data modeling: an extended bitmap approach, J. Verstraete, G. De Tré, 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.

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