This study aims to discuss the use of robustness analysis in evaluation and selection the strategies of an organization based on a matrix approach. The proposed technique can overcome the weakness of the robustness analysis model related to reviewing a few future scenarios and also, make it possible to in a short time include the ideas of the decision makers who participate in the strategic pla...

In this paper we address the problem of aggregating outranking statements from multiple preference criteria of ordinal significance. The concept of ordinal concordance of a global outranking situation is defined and an operational test for its presence is developed. Finally, we propose a new kind of robustness analysis for global outranking statements integrating classical dominance, ordinal an...

We consider scheduling environments where some job characteristics are uncertain. This uncertainty is modeled through a finite set of well-defined scenarios. In such a context, we search for a solution that is acceptable for any considered scenario. For this purpose, several criteria can be applied to select among solutions. We use here the so-called absolute robustness criterion. We present al...

A multiple model based observer/estimator for the estimation of parameters is used to reset the parameter estimation in a conventional Lyapunov based nonlinear adaptive controller. The advantage of combining both approaches is that the performance of the controller with respect to disturbances can be considerably improved while a reduced controller gain will increase the robustness of the appro...

. . . a. O...O~...*..I.~..rrlr.r.,..........~.~~~~~~b~...~.~~~*.~*.~~*~~~*.~.~~~~~~.~~8~b#~~*M~906~*~ “Hyper-redundant” manipulators have a very large number of actuatable degrees of freedom. The benefits of hyper-redundant robots include the ability to avaoid obstacles, increased robustness with respect to mechanical failure, and the ability to perform new forms of robot locomotion and graspin...

A new robust fuzzy regression clustering method is proposed. We estimate coefficients of a linear regression model in each unknown cluster. Our method aims to achieve robustness by trimming a fixed proportion of observations. Assignments to clusters are fuzzy: observations contribute to estimates in more than one single cluster. We describe general criteria for tuning the method. The proposed m...

We consider scheduling environments where some job characteristics are uncertain. This uncertainty is modeled through a finite set of well-defined scenarios. In such a context, we search for a solution that is acceptable for any considered scenario. For this purpose, several criteria can be applied to select among solutions. We use here the so-called absolute robustness criterion. We present al...

– This paper first presents a ”hidden label” approach for identifying the ownership and distribution of multimedia information (image or video data) in digital networked environment. Then it discusses criteria and difficulties in implementing the approach. Finally a method using a JPEG model based, frequency hopped, randomly sequenced pulse position modulated code (RSPPMC) is described. This me...

The paper compares the most significant expectational stability criteria that have been used to assess the plausibility of perfect foresight trajectories in forward-looking dynamical systems : determinacy of trajectories, absence of neighbour sunspot trajectories, convergence of "evolutive" and "eductive" learning processes. It examines, within a set of increasingly complex dynamical models, th...

Robustness and correctness are essential criteria for SAT and QBF solvers. We develop automated testing and debugging techniques designed and optimized for SAT and QBF solver development. Our fuzz testing techniques are able to find critical solver defects that lead to crashes, invalid satisfying assignments and incorrect satisfiability results. Moreover, we show that sequential and concurrent ...