In multi criteria Decision Making, the decision maker wants to find the best alternative among a set of alternatives in order to satisfy a set of criteria. Traditionally, decision making models are based on crisp data. The shortcoming of these data in capturing the reality and lack of information persuaded researchers to develop decision making methods with uncertain data. In this paper, the EL...

An e-learning architecture selection has been analyzed. This is a typical problem when dealing with e-learning system selection. For each alternative of an e-learning architecture there is an evaluation of both cost and quality of service. The latter may include probabilistic delivery time and confidence in quality commitment. The decision-maker takes into account multi-criteria evaluation thro...

In this paper it is outlined the methodology of the model MIREM (Multicriteria Industrial and Regional Economic Model) as the empirical framework for the implementation of an industrial policy in the CEECs countries aspiring to enter the European Union. Its epistemological foundations are taken from M. Porter Theory of Competitive Advantage and B. Balassa Theory of Economic Integration and focu...

Detection of gene mutation is an activity that can provide contribution in the medical field. Detection of mutated gene is needed to avoid the diseases caused by them such as cancer. The detection of gene mutations can be performed by utilizing computer-based system. Group Decision Support System (GDSS) is a computer-based system that can be utilized in detecting human gene mutations that cause...

We present in this paper a real world application for the elicitation of decision parameters used in the evaluation of thermal comfort in high speed trains. The model representing the thermal comfort is a hierarchical one and we propose to use different aggregation methods for different levels of the model. The methods used are rule-based aggregation, Electre Tri and 2-additive Choquet. We show...