Modern Information Processing (inbunden)
Format
Inbunden (Hardback)
Språk
Engelska
Antal sidor
478
Utgivningsdatum
2006-02-01
Förlag
Elsevier Science
Medarbetare
Coletti, Giulianella / Yager, Ronald R.
Illustrationer
Illustrations
Dimensioner
245 x 167 x 24 mm
Vikt
985 g
Antal komponenter
1
Komponenter
68:B&W 7 x 10 in or 254 x 178 mm Case Laminate on White w/Gloss Lam
ISBN
9780444520753
Modern Information Processing (inbunden)

Modern Information Processing

From Theory to Applications

Inbunden Engelska, 2006-02-01
899
Skickas inom 10-15 vardagar.
Fri frakt inom Sverige för privatpersoner.
Finns även som
Visa alla 1 format & utgåvor
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:
UNCERTAINTY
PREFERENCES
CLASSIFICATION AND DATA MINING
AGGREGATION AND MULTI-CRITERIA DECISION MAKING
KNOWLEDGE 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 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.
Visa hela texten

Passar bra ihop

  1. Modern Information Processing
  2. +
  3. Intelligent Systems for Information Processing: From Representation to Applications

De som köpt den här boken har ofta också köpt Intelligent Systems for Information Processing:... av B Bouchon-Meunier (inbunden).

Köp båda 2 för 1688 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av Bernadette Bouchon-Meunier

Innehållsförteckning

Foreword. L.A. Zadeh


Uncertainty


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


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. Garca-Lapresta, J. Montero


Transitive decomposition of min-transitive fuzzy preference relations, S. Daz, 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. Gutirrez, J-L Rouas, R. Andre-Obrcht


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. Martnez, 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. Litard


Fuzzy spatial data modeling: an extended bitmap approach, J. Verstraete, G. De Tr, A. Hallez


Introducing l-specialization into the fuzzy EER model, G. Chen, L. Lin, X. Guo


A log...