Abstract: The present invention relates to a method for generating a multiple-criteria decision support system comprising: providing a problem and training data solving the problem for specific cases, the problem being a problem of evaluating the quality of a system chosen from: choosing the best alternative from among alternatives, distributing alternatives among classes, the storage of alternatives in order of preference, and providing a score of an alternative, re-transcribing the problem according to a neural network and constraints to be observed, training the re-transcribed neural network using the training data, the determination of the function performed by the trained neural network, and physically implementing the determined function in order to obtain the support system.

Abstract: A method for supervising an air traffic tracking system, in a current situation of the tracking system as defined by a position and a speed vector relating to at least one aircraft is provided. The method comprises a step of determining performance indicator values representing the current situation.

Abstract: A score explanation method for explaining a score includes at least steps of: a1) providing a first score associated with a first vector containing the first values of the parameters; b) generating a first set of lists, each list including a second number of indicators; c) generating, from a list, of at least a third vector wherein each parameter has a third value; the third value being equal to the corresponding first value when the list does not include an indicator of the corresponding parameter, and different from the corresponding first value otherwise; d) calculating the score of at least one third vector; e) evaluating, from the scores calculated for each of the third vectors, an indicator of significance of each parameter; f) elaborating, from the evaluated indicators of significance, an explanation of the first score.

Abstract: Disclosed is a method for evaluating the level of threat of at least one entity among a plurality of entities in a battlefield environment, the level of threat being evaluated with respect to a reference entity to be protected, the method including the steps of: segmenting the battlefield environment into a plurality of layers; obtaining data representative of a position of the entity with respect to the layers of the battlefield environment; and determining the level of threat of the entity using the obtained data.

Abstract: Disclosed is a method for evaluating the level of threat of at least one entity among a plurality of entities in a battlefield environment, the level of threat being evaluated with respect to a reference entity to be protected, the method including the steps of: segmenting the battlefield environment into a plurality of layers; obtaining data representative of a position of the entity with respect to the layers of the battlefield environment; and determining the level of threat of the entity using the obtained data.

Abstract: A score explanation method for explaining a score includes at least steps of: a1) providing a first score associated with a first vector containing the first values of the parameters; b) generating a first set of lists, each list including a second number of indicators; c) generating, from a list, of at least a third vector wherein each parameter has a third value; the third value being equal to the corresponding first value when the list does not include an indicator of the corresponding parameter, and different from the corresponding first value otherwise; d) calculating the score of at least one third vector; e) evaluating, from the scores calculated for each of the third vectors, an indicator of significance of each parameter; f) elaborating, from the evaluated indicators of significance, an explanation of the first score.

Abstract: The method of the invention is a method of taking account of several parameters in a value judgment function, according to which the judgment function depends mainly on a main parameter and in a secondary manner on at least one secondary parameter, and it is characterized by the fact that the model is constructed by asking the expert for the main parameter and the list of secondary parameters, by asking the expert to specify the mono-dimensional function which, for determined values of the secondary parameters, associates the value of the judgment with the main parameter, and by asking the expert how the mono-dimensional judgment function is modified as a function of the determined values of the secondary parameters, that the user provides the values of the main parameter and of the secondary parameters corresponding to at least one option to be evaluated, that the value of the judgment is calculated for each option by determining the mono-dimensional judgment function dependent on the main parameter on the b

Abstract: The method in accordance with the invention is a method making it possible to explain a decision taken by a compensatory multi-criterion aggregation model, according to which a single compensatory multi-criterion aggregation model is established for the application considered, described by a certain number of phenomena and reproducing a determined expert opinion, and it is characterized in that no reference is made in the explanation to the specificities of the aggregation model if the decision taken had been the same on replacing the aggregation model by any other close model, that, if such is not the ease, the aggregation model is simplified by taking into account fewer and fewer phenomena as long as the decision taken remains the same, and that an explanation based solely on the compensation phenomena present in the simplest model previously determined is returned to the expert.

Abstract: The method of the invention is a decision making method used in the absence of clearly identifiable rules, according to which one establishes decision making rules comprising at least two variables for each of which at least one limit is not strict, and it is characterized in that one formally introduces a compensation condition into the nonclearly identifiable rules, that one determines, for each parameter of a compensatory condition, at least one particular point belonging to a compensation boundary and connected with the parameter, that one deduces therefrom the value of the parameters, that one applies the set of rules and that one deduces the decision therefrom.

Abstract: The method in accordance with the invention is a method according to which several decision criteria and a preference relation based on these criteria between the solutions of the problem are established. Modeling of the problem to be solved is established by obtaining solutions constructively via a tree search process. A tree search strategy has been established for each criterion. The strategies are alternated so as to find solutions of increasing quality; the strategies are chosen dynamically as a function of the last solution found. The alternation of strategies continues until a stopping condition is satisfied. The last solution found before the satisfaction of the stopping condition is exhibited as the solution to the problem set.

Abstract: The method in accordance with the invention is a method making it possible to explain a decision taken by a compensatory multi-criterion aggregation model, according to which a single compensatory multi-criterion aggregation model is established for the application considered, described by a certain number of phenomena and reproducing a determined expert opinion, and it is characterized in that no reference is made in the explanation to the specificities of the aggregation model if the decision taken had been the same on replacing the aggregation model by any other close model, that, if such is not the case, the aggregation model is simplified by taking into account fewer and fewer phenomena as long as the decision taken remains the same, and that an explanation based solely on the compensation phenomena present in the simplest model previously determined is returned to the expert.

Abstract: The process of the invention consists in determining a model which contains the partial criteria for evaluating a student, and represents the degree of satisfaction, in aggregating these partial criteria so as to be able to express an overall degree of satisfaction, in evaluating the student and in highlighting the weak points to be improved through action on at least part of the parameters.