Modern Information Processing

From Theory to Applications

Edited by

  • Bernadette Bouchon-Meunier, CNRS-UPMCS, LIP6, Paris, France
  • Giulianella Coletti, University of Perugia, Italy
  • Ronald R. Yager, Iona College, Machine Intelligence Institute, New York, U.S.A.

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√ʬĬĘThe book contributes to enhancement of our ability to deal effectively with uncertainty in all of its manifestations. √ʬĬĘThe book can help to build brigs among theories and methods methods for the management of uncertainty. √ʬĬĘThe book addresses issues which have a position of centrality in our information-centric world. √ʬĬĘThe 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). √ʬĬĘThe book contributes to the goal: an efficient use of the information for a good decision strategy.APPLIED DOMAINS
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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.


Book information

  • Published: February 2006
  • Imprint: ELSEVIER
  • ISBN: 978-0-444-52075-3

Table of Contents

Foreword. L.A. Zadeh


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


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√ʬĬôUrso, 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 √ʬĬďComparison 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.