[PDF] Top 20 Lexicographic refinements in possibilistic decision trees
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Lexicographic refinements in possibilistic decision trees
... Lexicographic Refinements in Possibilistic Decision Trees Nahla Ben Amor 1 and Zeineb El Khalfi 2 and Helene Fargier ´ ` 3 and Regis Sabbadin ´ 4 ...Abstract. ... Voir le document complet
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Lexicographic refinements in possibilistic decision trees
... proposed in [27] for Binary Possibilistic Utilities and as a particular case, to classical, optimitic and pessimistic, possibilitistic ...utilities. In [27]’s treatment indeed, two similar ... Voir le document complet
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Lexicographic refinements in possibilistic decision trees and finite-horizon Markov decision processes
... Abstract Possibilistic decision theory has been proposed twenty years ago and has had several extensions since ...qualitative decision problems, possibilistic decision theory suffers ... Voir le document complet
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Lexicographic refinements in possibilistic decision trees and finite-horizon Markov decision processes
... for possibilistic MDPs, since no unique stochastic transition function corresponds to a possibility distribution [ 42 ...the possibilistic decision tree (provided that both transition possibilities ... Voir le document complet
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Algorithms for Multi-criteria optimization in Possibilistic Decision Trees
... quential decision problems under ...to possibilistic decision trees the decision rules presented in [1] for non se- quential ... Voir le document complet
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Lexicographic refinements in possibilistic sequential decision-making models
... exposed in Chapter 3, is how to overcome the drowning effect of qualitative utilities when comparing ...two lexicographic criteria that compare policies based on their corresponding matrices of ...define ... Voir le document complet
131
Algorithms for Multi-criteria optimization in Possibilistic Decision Trees
... quential decision problems under ...to possibilistic decision trees the decision rules presented in [1] for non se- quential ... Voir le document complet
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Lexicographic refinements in stationary possibilistic Markov Decision Processes
... of lexicographic refinements to finite horizon possibilistic Markov decision processes and proposes a value iteration algorithm that looks for policies optimal with respect to these ... Voir le document complet
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Learning Lexicographic Preference Trees From Positive Examples
... That is why preference learning has emerged in the last decade as an important field; many interesting results are re- ported in e.g. the book edited by (F¨urnkranz and H¨ullermeier 2011), or the ... Voir le document complet
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Possibilistic decision theory: from theoretical foundations to influence diagrams methodology
... graphical decision models to deal with se- quential decision making, more precisely we have developed possibilistic decision trees with different possibilistic decision ... Voir le document complet
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Solving multi-criteria decision problems under possibilistic uncertainty using optimistic and pessimistic utilities
... sequential decision problems are generally stated through the use of compact representation formalisms, such as possibilis- tic decision trees [4], possibilistic influence diagrams [5, 6] or ... Voir le document complet
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Efficient Policies for Stationary Possibilistic Markov Decision Processes
... Bounded lexicographic value iteration VS Unbounded lexicographic value iteration and the possibility degree of the other one is uniformly fired in ...criterion in its full ... Voir le document complet
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Solving multi-criteria decision problems under possibilistic uncertainty using optimistic and pessimistic utilities
... sequential decision problems are generally stated through the use of compact representation formalisms, such as possibilis- tic decision trees [4], possibilistic influence diagrams [5, 6] or ... Voir le document complet
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Efficient Policies for Stationary Possibilistic Markov Decision Processes
... Bounded lexicographic value iteration VS Unbounded lexicographic value iteration and the possibility degree of the other one is uniformly fired in ...criterion in its full ... Voir le document complet
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Possibilistic sequential decision making
... presented in the previous section have been implemented over Java and the computational experiments were carried out on a processor Intel Xeon X5650, ...binary decision trees with different ...made ... Voir le document complet
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Possibilistic sequential decision making
... interest in Operation Research and more recently in Artificial Intelligence towards the foundations and computational methods of decision making under ...sequential decision making under ... Voir le document complet
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Probabilistic Decision Trees using SVM for Multi-class Classification
... consists in applying to the damaged vehicle a technical solution corresponding to a previously solved ...use in order to deal effectively with an unknown (and possibly unreferenced) failure is still an open ... Voir le document complet
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Characterization of variable importance measures derived from decision trees
... The standard deviation being smaller for large forests, it will be easier to distinguish relevant variables from irrelevant ones. A finite database makes the entropy slightly less than one. At each node, since the learn- ... Voir le document complet
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Application of E2M Decision Trees to Rubber Quality Prediction
... common in agronomy and life science, mainly due to field and economy ...M decision tree [8], for it is usually efficient and interpretable (an essential feature for agronomic ... Voir le document complet
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Egalitarian Collective Decision Making under Qualitative Possibilistic Uncertainty: Principles and Characterization
... always in a probabilistic context (Harsanyi 1967; Hammond 1992): the ex-ante approach can be com- patible with the existence of different quantifications of the uncertainty (while the ex-post approach clearly ... Voir le document complet
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