Protecting critical infrastructures (CIs) against external and internal risks in an increasingly uncertain environment is a major challenge. In this paper we present a generic multi-stage scenario construction approach that is applicable to a wide range of decision problems in the field of CI protection. Our approach combines scenario construction and decision support, whereby we explicitly con...

This paper presents a scenario planning effort carried out in order to identify the possible futures that construction industry and construction IT might face. The paper provides a review of previous research in the area and introduces the scenario planning approach. It then describes the adopted research methodology. The driving forces of change and main trends, issues and factors determined b...

MOTIVATION The construction of evolutionary trees is one of the major problems in computational biology, mainly due to its complexity. RESULTS We present a new tree construction method that constructs a tree with minimum score for a given set of sequences, where the score is the amount of evolution measured in PAM distances. To do this, the problem of tree construction is reduced to the Trave...

Estimating phylogenetic trees from sequence data is an extremely challenging and important statistical task. Within the maximum-likelihood paradigm, the best tree is a point estimate. To determine how strongly the data support such an evolutionary scenario, a hypothesis testing methodology is required. To this end, the Kishino–Hasegawa (KH) test was developed to determine whether one topology i...

Article history: Received 3 November 2010 Received in revised form 4 March 2011 Accepted 10 March 2011 Available online 19 April 2011 Since its origins, decision makers have broadly used the Delphi method as a collaborative technique for generating important events and scenarios about what may happen in the future. This is a complexprocessbecauseof thedifferent interrelations and thepotential s...

In this paper, we will present a learning scenario dealing with health and safety aspects in construction engineering. The scenario consists of two parts: first, a number of classical classroom sessions dealing with the theory, and second construction sites will be explored to identify and learn more about the health and safety aspects in a real-world context. The realworld scenario will be med...

Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This paper presents a new user-centered approach to this process where the user and the computer can both contribute their strengths: the user provides domain knowledge and evaluates intermediate results of the algorithm, t...

The automatic recognition of typical pattern sequences (scenarios), as they are developing, is of crucial importance for computer-aided patient supervision. However, the construction of such scenarios directly from medical expertise is unrealistic in practice. In this paper, we present a methodology for data abstraction and for the extraction of specific events (data mining) to eventually const...

forest road construction is the most costly operation in forestry. road designing and construction in unsuitable areas may increase construction and maintenance costs and also cause many environmental impacts. therefore, it is required to pay more attention to forest road design. in this research, we tried to introduce an appropriate method for locating forest roads using gis and ahp simultaneo...

Estimating phylogenetic trees from sequence data is an extremely challenging and important statistical task. Within the maximum-likelihood paradigm, the best tree is a point estimate. To determine how strongly the data support such an evolutionary scenario, a hypothesis testing methodology is required. To this end, the Kishino-Hasegawa (KH) test was developed to determine whether one topology i...