information accompanied with the technology supporting it is valuable asset in many organizations. as organizations are highly depended on it, implementing it effective governance is necessary for them. it governance areas affecting business are strategic alignment, risk management, performance management, resource management and providing value.  successful performances need a mix of structure...

This chapter aims to provide an overview of the class of multi-criteria recommender systems. First, it defines the recommendation problem as a multicriteria decision making (MCDM) problem, and reviews MCDM methods and techniques that can support the implementation of multi-criteria recommenders. Then, it focuses on the category of multi-criteria rating recommenders – techniques that provide rec...

in traditional portfolio selection model coefficients often are certain and deterministic, but in real world these coefficients are probabilistic. so decision maker cannot estimate them exactly. financial optimization is one of the most attractive areas in decision under uncertainty. in the portfolio selection problem the decision maker considers simultaneously conflicting objectives such as ra...

This paper presents a multi-agent case-based system designed to support acute stroke diagnoses and management. Even though an acute stroke can be diagnosed by physicians, the final clinical category and treatment of the stroke often depends on the skills and experience of neurologists in using new technology. From the Spanish Neurological Society a data base of experiences in hospitals have bee...

Multi-objective optimization is known as a useful mathematical model in order to investigate some real world problems with connicting objectives, arising from economics, engineering and human decision making. In this paper, a convex composite multi-objective optimization subject to a closed convex set constraint is studied. New rst-order optimality conditions of a weakly eecient solution for th...