We present 1 a technique to build and manipulate three dimensional models of vehicles, to be used by a computer vision system. These tools will help nd a suitable class of models for the vehicles and the trajectories, which are restricted to shape of cars (symmetry, regularity) and their trajectories (ground plane constraint), moving on a xed scenario. The models consist of a variable number of...

In modeling Multi-Criteria Decision Making (MCDM) problem, we usually assume that the decision maker is able to elicitate his preferences with precision and without difficulty. However, in many situations, the expert is unable to provide his assessment with certainty or he is unwilling to quantify his preferences. To deal with such situations, a new MCDM model under uncertainty is introduced. I...

In this research, we propose a bi-objective model for the economic-statistical design of the X-bar and S control charts. The model minimizes out-of-control average time to signal as well as minimizing mean hourly loss-cost where it incorporates the Taguchi loss function. Statistical constraint is considered in the model to achieve desired in-control time to signal. A non-dominated sort...

The analysis of horizontal mergers hinges on a tradeoff between unilateral effects and efficiency gains. The article examines the role of uncertainty (on the efficiency gains) in this tradeoff. Common wisdom is that the antitrust authorities should be very cautious about random gains. Our results show that dismissing efficiency gains on the sole ground that they are uncertain would not be theor...

The FISTERA study included a large-scale online Delphi survey, in which over 500 experts contributed their views as to the future development of IST (Infirmation Society Technologies) in the EU. The study was particularly concerned to examine how far specific applications of IST could contribute to a number of European objectives (inspired by the Lisbon Agenda), and to elicit views as to the ma...

In this paper, we introduce new classes of vector functions which generalize the class of scalar invex functions. We prove that these new classes of vector functions are characterized in such a way that every vector critical point is an efficient solution of a Multiobjective Programming Problem. We establish relationships between these new classes of functions and others used in the study of ef...