Qualitative decision tools have been used in AI and CS in various contexts, but their adequacyis still unclear. To examine this question, our work employs the axiomatic approach to characterize the properties of various decision rules. In the past, we presented a constructive representation theorem for the maximin decision criterion, and we characterized conditions under which an agent can be v...

The recent large earthquakes have emphasized the importance of earthquake loss mitigation and how earthquake early warning (EEW) systems can help. An EEW system detects an earthquake initiation based on a seismic sensor network and broadcasts a warning of the predicted location and magnitude shortly before an earthquake hits a site. The typical range of this lead time is around tens of seconds ...

Ove DITLEVSEN Professor, dr. techn. Department of Structural Engineering Technical University of Denmark DK 2800 Lyngby Ove Ditlevsen, born 1935, got his civil engineering degree 1959, his degree of dr. techn. 1971, both from the Technical University of Denmark. Professor of applied mathematics at the Danish Engineering Academy until 1984. Since then research professor (until 1991) and professo...

The paper presents a brief description of algorithms for solving fuzzy multicriteria decision making problems. The evaluations of the alternatives by the criteria can be real numbers by different scales, fuzzy preference relations by each criterion or trapezoidal fuzzy numbers by the criteria. The weights of the criteria can be real numbers, weighting functions or fuzzy relation between the cou...

The use of archived injormatiori arid knowledge derived from data-driven system, both at the poirit of care and retrospectively, is critical to iniproving the balance between healthcare e.rperiditure arid healthcare qirality. Data-driveti clinical decision support, augmented by pe$orinance feedback arid edircatiori, is a logical addition to consensus arid evidence-based ripproaches on the path ...

This paper describes the use of Evolutionary Algorithms (EAs) as a decision support tool in environmentally relevant decision problems. Though various methods from Artificial Intelligence as well as from Computational Intelligence have been successfully integrated into Environmental Decision Support Systems (EDSS), the use of Evolutionary Computation has so far remained marginal in this context...

This is a summary of the author’s PhD thesis, defended on 8 October 2007 at the University of Luxembourg and the Faculté Polytechnique de Mons, under the joint supervision of Raymond Bisdorff and Marc Pirlot. The thesis is written in English and is available from the author upon request. The work is situated in the field of Multiple Criteria Decision Analysis (MCDA). It mostly deals with what w...

This feature cluster of the European Journal of Operational Research is one of three special issues devoted to results from the Sixteenth International Conference on Multi-Criteria Decision Making held at Semmering, Austria, on February 18–22, 2002. The special issue of the Journal of MultiCriteria Decision Making edited by Matthias Ehrgott and Mikulas Luptacik will focus on application-oriente...

A numerical approach is classically advocated (see e.g. [12]) for encoding both the information pertaining to the state of nature and the preferences on X: uncertainty is represented by a probability distribution p and preference is encoded by a utility function u : X → [0, 1] . The pair < p, u > will be called a probabilistic utility model, PU-model for short. Acts are then ranked according to...

Some survey data are classified into pre-specified categories during a process known as coding. If a computer assigns codes without human interaction, then this is called automated coding. Manual coding, computer-assisted manual coding, and interactive coding all require some level of human interaction. The decision to employ automated coding in survey processing is not simple. There are many o...