We propose a new adaptive procedure for the measurement of decision models. Our procedure bounds the function of the decision model, sequentially halves the maximal distance between its bounds, and incrementally restricts the feasible space of associated parameters. It relies on approximating...

A Markov decision process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagent problems in which the value of a decision must be evaluated according to several viewpoints, sometimes...

We study the modelling of the subjective sensation of discomfort for subjectsseated during a long time, in terms of local discomforts. The methodology usesfuzzy measures and integrals in a multicriteria decision making process,which enables the modelling of complex interaction between variables....