Axis 1: Data valuation for decision making

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Cahiers du GERAD

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Given a set of logical sentences together with nonnegative weights assigned to each of them, the Maximum Weight Satisfiability problem (MAX-WEIGHT SAT) cons...

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Ce papier présente une nouvelle procédure de classification, appelée PROCFTN, basée sur le domaine de l'aide multicritère à la décision. Le principe général...

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In a research synthesis on the prognosis of depression, the outcome of interest has a multinomial distribution with the following typical categories: well, ...

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The standard way to solve the static economic dispatch problem with transmission losses is the penalty factor method. The problem is solved iteratively by a...

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Systematic change of neighborhood within a possibly randomized local search algorithm yields a simple and effective metaheuristic for combinatorial and glo...

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The aim of this paper is to provide a concise portrayal of medical applications of a new fuzzy classification method called PROAFTN, which uses a multicrite...

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Weber's problem is to locate a facility in the Euclidean plane in order to minimize total transportation costs from that facility to a given set of users wi...

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A model for the optimal location of new facilities in a competitive market is introduced under the hypothesis that customers' behavior can be modeled by ran...

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Quatre regards sur la découverte, ceux du psychologue, de l'historien, du sociologue et du cognicien sont évoqués en quelques remarques illustrées d'exemples.

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Mirkin's additive clustering (or qualitative factor analysis) algorithm explains similarities between entities by sequentially finding a cluster of entities...

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It is shown that a geometrically planar fusene is uniquely determined by its boundary edge code. Surprisingly, the same conclusion is not true in general b...

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Variable Neighborhood Search is a recent metaheuristic based on the idea of systematic change of neighborhood during both a descent phase and an exploration...

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The definition of a fullerene as a cubic polyhedron made up entirely of pentagons and hexagons is compatible with a huge variety of isomeric forms for struc...

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A new local search heuristic, called J-MEANS, is proposed for solving the minimum sum-of-squares clustering problem. The neighborhood of the current solut...

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The recent Variable Neighborhood Search (VNS) metaheuristic combines local search with systematic changes of neighborhood in the descent and escape from loc...

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Treatment of imprecise probabilities within the probabilistic satisfiability approach to uncertainty in knowledge-based systems is surveyed and discussed. ...

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The probabilistic satisfiability problem consists, given <i>m</i> logical sentences, with their probabilities to find if they are coherent, and if it is the...

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We discuss the relationship between probabilistic logic and <img src="pi.gif" align=bottom>-CMS. Given a set of logical sentences and probabilities, the ou...

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An exact algorithm is proposed for minimum sum-of-squares nonhierarchical clustering, i.e., for partitioning a given set of points from Euclidean <i>m</i>-s...

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Given a graph <i>G</i> with <i>n</i> vertices and stability number <img src="alpha.gif" align=bottom>(<i>G</i>), Turán's theorem gives a lower bound on the ...

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