444 research outputs found
Preassociative aggregation functions
The classical property of associativity is very often considered in
aggregation function theory and fuzzy logic. In this paper we provide
axiomatizations of various classes of preassociative functions, where
preassociativity is a generalization of associativity recently introduced by
the authors. These axiomatizations are based on existing characterizations of
some noteworthy classes of associative operations, such as the class of
Acz\'elian semigroups and the class of t-norms.Comment: arXiv admin note: text overlap with arXiv:1309.730
Solving multi-criteria decision problems under possibilistic uncertainty using optimistic and pessimistic utilities
International audienceThis paper proposes a qualitative approach to solve multi-criteria decision making problems under possibilistic uncertainty. De-pending on the decision maker attitude with respect to uncertainty (i.e. optimistic or pessimistic) and on her attitude with respect to criteria (i.e. conjunctive or disjunctive), four ex-ante and four ex-post decision rules are dened and investigated. In particular, their coherence w.r.t. the principle of monotonicity, that allows Dynamic Programming is studied
Contribution on some construction methods for aggregation functions
Abstract. In this paper, based on [14], we present some well established construction methods for aggregation functions as well as some new ones
Subset sum phase transitions and data compression
We propose a rigorous analysis approach for the subset sum problem in the
context of lossless data compression, where the phase transition of the subset
sum problem is directly related to the passage between ambiguous and
non-ambiguous decompression, for a compression scheme that is based on
specifying the sequence composition. The proposed analysis lends itself to
straightforward extensions in several directions of interest, including
non-binary alphabets, incorporation of side information at the decoder
(Slepian-Wolf coding), and coding schemes based on multiple subset sums. It is
also demonstrated that the proposed technique can be used to analyze the
critical behavior in a more involved situation where the sequence composition
is not specified by the encoder.Comment: 14 pages, submitted to the Journal of Statistical Mechanics: Theory
and Experimen
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