This paper addresses an airport gate assignment problem with multiple objectives. The objectives are to minimize the number of ungated flights and the total passenger walking distances or connection times as well as to maximize the total gate assignment preferences. The problem examined is an...

In this paper a method for including a-priori preferences of the decision makers into Multicriteria Optimization (MCO) problems is presented. A set of Pareto-optimal solutions is determined via desirability functions of the objectives which reveal experts ́preferences regarding different...

This paper extends the concepts of proper equilibria, protective behaviour and prudent behaviour to multicriteria games. Three types of proper equilibria based on different types of domination are introduced. It is shown that protective behaviour coincides with prudent behaviour. Possible...

Multikriterienmethoden erweisen sich als nützlich, um die Entscheidungsfindung in komplexen Situationen - wie solche eine nachhaltige Entwicklung betreffend - zu unterstützen und um mit Konflikten in einer strukturierten und transparenten Art umzugehen. Zunehmend wird multikriterielle...

In the search for effective pesticide risk management tools, the design of pesticide risk indicators is nowadays receiving increasing attention as a complement to more established regulatory strategies. In the present paper, we apply some recently developed pesticide risk indices and test their...

This work describes and discusses the implementation of AHP-Tutor, an Intelligent Tutoring System (ITS) that provides training in various methods of derivation of priorities from an AHP comparison matrix. The purpose of our system is to offer exercise problems. The corresponding theoretical...

Pareto-Optimality and the Desirability Index are methods for multicriteria optimization in quality management. In this paper the pareto-optimality of the optimal influence factor settings of a process resulting from maximizing the DI is analyzed and is shown to be valid in most cases.