New PDF release: Modern Information Processing. From Theory to Applications
By Bernadette Bouchon-Meunier, Giulianella Coletti, Ronald R. Yager
ISBN-10: 0444520759
ISBN-13: 9780444520753
The quantity "Modern details Processing: From concept to Applications," edited by way of Bernadette Bouchon-Meunier, Giulianella Coletti and Ronald Yager, is a set of rigorously chosen papers drawn from this system of IPMU'04, which used to be held in Perugia, Italy.
The publication represents the cultural coverage of IPMU convention which isn't concerned about slender diversity of methodologies, yet to the contrary welcomes all of the theories for the administration of uncertainty and aggregation of data in clever platforms, offering a medium for the trade of rules among theoreticians and practitioners in those and comparable parts.
The booklet consists by means of 7 sections:
UNCERTAINTY
PREFERENCES
CLASSIFICATION and information MINING
AGGREGATION AND MULTI-CRITERIA selection MAKING
KNOWLEDGE REPRESENTATION
•The booklet contributes to enhancement of our skill to deal successfully with uncertainty in all of its manifestations.
•The e-book may help to construct brigs between theories and strategies tools for the administration of uncertainty.
•The ebook addresses concerns that have a place of centrality in our information-centric international.
•The e-book offers attention-grabbing effects dedicated to representing wisdom: the target is to trap the subtlety of human wisdom (richness) and to permit desktop manipulation (formalization).
•The publication contributes to the target: an effective use of the data for an exceptional choice strategy.
APPLIED DOMAINS
· The publication contributes to enhancement of our skill to deal successfully with uncertainty in all of its manifestations.
· The publication may help to construct brigs between theories and strategies equipment for the administration of uncertainty.
· The ebook addresses matters that have a place of centrality in our information-centric world.
· The ebook provides attention-grabbing effects dedicated to representing wisdom: the target is to seize the subtlety of human wisdom (richness) and to permit machine manipulation (formalization).
· The booklet contributes to the objective: an effective use of the knowledge for an excellent selection procedure.
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Additional info for Modern Information Processing. From Theory to Applications
Example text
We will use the following homomorphisms, see [12,13], [5], and [6]: 52 M. Daniel / i : ( I ) o , e ) — ( G ' , e ) , h{hel) = heim\ h{a,h) = {a,h)^{\,\) = {^^^, 2^^)' 2 x : p o , 0 ) — ( G , © o u ) , n(a,6) = ( a , 6 ) © ( ^ , ^ ) = ( ^ , ^ ) , g : ( Z ) o , © ) ^ ( G , © ) , q{bel) ^ belQO\ ^(a, 6) = (a,6)©(|, ^) = ... = (^, i ) , go : (^0, ©) ^ (^1 U 52, © o go), go(a,6) = ( ^ , 0 ) , if a > 6, qo{a,b) = (0, ^ ) , if a < 6. 3. Probabilistic transformations and their consistencies Let us consider the following very general definition now.
Nevertheless the transformation based on the same principle was used by Dubois ^ Moreover it is an open question for a future research whether an infinitely many combination result presents a nature of P T rather than a nature of the combining rule. ^ A new quite another requirement to probabilistic transformations would be their commutation with refinement/coarsening. Unfortunately none of P T s mentioned in this contribution commutes with R / C hence we are not further interested in this requirement.
Reidel, Dordrecht, Netherlands, 1987. 21. B. An Introduction to Copulas. Lecture Notes in Statistics, Springer-Verlag, New York, V. 139,1999. 22. Shafer, G. A Mathematical Theory of Evidence. Princeton University Press, 1976. 23. R. A procedure for ordering fuzzy subsets of the unit interval. Information science, 24, 143-161,19SI. Modem Information Processing: From Theory to Applications B. Bouchon-Meunier, G. R. V. All rights reserved 49 Consistency of Probabilistic Transformations of Belief Functions M.
Modern Information Processing. From Theory to Applications by Bernadette Bouchon-Meunier, Giulianella Coletti, Ronald R. Yager
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