This paper analyses how different coordination modes and different multiobjective decision making approaches interfere with each other in hierarchical organizations. The investigation is based on an agent-based simulation. We apply a modified NK-model in which we map multiobjective decision making as adaptive walk on multiple performance landscapes, whereby each landscape represents one objecti...

In this paper, we present a link between preference-based and multiobjective sequential decision-making. While transforming a multiobjective problem to a preference-based one is quite natural, the other direction is a bit less obvious. We present how this transformation (from preferencebased to multiobjective) can be done under the classic condition that preferences over histories can be repres...

controller design and optimization problems, with more than one objective, are referred as multiple objectives or multiple attributed problems. in this paper, a novel method is proposed for designing optimum pid controller that is called genetic multiple attributed decision making method (gmadm). this method is newer than the previous methods and in this paper some options are considered that h...

This paper develops the theoretical and methodological relationship between multiobjective decision trees (MODT) and the multiobjective risk impact analysis method (MRIAM)—two tools that are useful in decision-making at each step of the system life cycle. Decision trees have been extensively used in decision problems with great success. Multiobjective decision trees include multiple noncommensu...

The seminar "Hybrid and Robust Approaches to Multiobjective Optimization" was a sequel to two previous Dagstuhl seminars (04461 in 2004 and 06501 in 2006). The main idea of this seminar series has been to bring together two contemporary elds related to multiobjective optimization Evolutionary Multiobjective Optimization (EMO) and Multiple Criteria Decision Making (MCDM) to discuss critical rese...

Abstract Real-world decision making problems in various fields including engineering sciences are becoming ever more challenging to address. The consideration of competing criteria related to, for example, business, technical, workforce, safety and environmental aspects increases the complexity leads that feature multiple criteria. A key challenge such is identification most preferred trade-off...