The selection of a project among a set of possible alternatives is a difficult task decision makers have to face. Difficulties in selecting a project arise because of the different goals involved and because of the large number of attributes to consider. Our approach is based upon a fuzzy extension of the Analytic Hierarchy Process (AHP). This paper focuses on the constraints that have to be co...

Several underlying behaviors of feature selection techniques are analyzed in this paper. A bound relating sample size and dimensionality is derived and verified empirically. The 'scurve' relationship between test error and amount of training data is shown not to be a generalized behavior of all feature selection techniques.

We use a mechanism–design approach to study a team whose members select a joint project and exert individual efforts to execute it. Members have private information about the qualities of alternative projects. Information sharing is obstructed by a trade–off between adaptation and motivation. We determine the conditions under which first–best project and effort choices are implementable and sho...

We study optimal contracting in a setting that combines experimentation and adverse selection. In our leading example, an entrepreneur (agent) is better informed than the investor (principal) about both the quality the project (risky arm’s distribution) and the entrepreneur’s outside option (payoff of the safe arm). The investor’s profit-maximizing mechanism can be uniquely implemented with a m...

We consider a project selection problem where each project has an uncertain return with partially characterized probability distribution. The decision maker selects a feasible subset of projects so that the risk of the portfolio return not meeting a specified target is minimized. To model and evaluate this risk, we propose and justify a general performance measure, the Underperformance Riskines...

Bishop(2) establishes that in practical applications of data mining, the choice of preprocessing of the available data will be one of the most significant factors in determining the performance of the final system. Data mining situations are often caracterized with the availability of a large number of raw input input variables, sometimes in the tens of thousands range, and comparably few train...

Multi-criteria decision support systems are used in various fields of human activities. In every alternative multi-criteria decision making problem can be represented by a set of properties or constraints. The properties can be qualitative & quantitative. For measurement of these properties, there are different unit, as well as there are different optimization techniques. Depending upon the des...