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FSS
2008
87views more  FSS 2008»
13 years 11 months ago
Representing parametric probabilistic models tainted with imprecision
Numerical possibility theory, belief function have been suggested as useful tools to represent imprecise, vague or incomplete information. They are particularly appropriate in unc...
Cédric Baudrit, Didier Dubois, Nathalie Per...
FSS
2008
69views more  FSS 2008»
13 years 11 months ago
A methodology for automated fuzzy model generation
In this paper we propose a generic methodology for the automated generation of fuzzy models. The methodology is realized in three stages. Initially, a crisp model is created and i...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...
FSS
2008
145views more  FSS 2008»
13 years 11 months ago
A logic programming framework for possibilistic argumentation: Formalization and logical properties
In the last decade defeasible argumentation frameworks have evolved to become a sound setting to formalize commonsense, qualitative reasoning. The logic programming paradigm has s...
Teresa Alsinet, Carlos Iván Chesñeva...
FSS
2008
87views more  FSS 2008»
13 years 11 months ago
Triangle algebras: A formal logic approach to interval-valued residuated lattices
In this paper, we introduce triangle algebras: a variety of residuated lattices equipped with approximation operators, and with a third angular point u, different from 0
Bart Van Gasse, Chris Cornelis, Glad Deschrijver, ...
FSS
2008
105views more  FSS 2008»
13 years 11 months ago
Mining multiple-level fuzzy blocks from multidimensional data
Multidimensional databases are now recognized as being the standard way to store aggregated and historized data. Multidimensional databases are designed to store information on me...
Yeow Wei Choong, Anne Laurent, Dominique Laurent
FSS
2008
117views more  FSS 2008»
13 years 11 months ago
(S, N)- and R-implications: A state-of-the-art survey
In this work we give a state-of-the-art review of two of the most established classes of fuzzy implications, viz., (S, N)- and R-implications. Firstly, we discuss their properties...
Michal Baczynski, Balasubramaniam Jayaram
FSS
2008
130views more  FSS 2008»
13 years 11 months ago
A fuzzy k-partitions model for categorical data and its comparison to the GoM model
The grade of membership (GoM) model uses fuzzy sets as memberships of each individual to extreme profiles (or classes) on the likelihood function of multivariate multinomial distr...
Miin-Shen Yang, Yu-Hsuan Chiang, Chiu-Chi Chen, Ch...
FSS
2008
80views more  FSS 2008»
13 years 11 months ago
Relations in Fuzzy Class Theory: : Initial steps
This paper studies fuzzy relations in the graded framework of Fuzzy Class Theory (FCT). This includes (i) rephrasing existing work on graded properties of binary fuzzy relations i...
Libor Behounek, Ulrich Bodenhofer, Petr Cintula
FSS
2008
87views more  FSS 2008»
13 years 11 months ago
Higher order models for fuzzy random variables
A fuzzy random variable is viewed as the imprecise observation of the outcomes in a random experiment. Since randomness and vagueness coexist in the same framework, it seems reaso...
Inés Couso, Luciano Sánchez
FSS
2008
63views more  FSS 2008»
13 years 11 months ago
Mining association rules from imprecise ordinal data
Yen-Liang Chen, Cheng-Hsiung Weng