Abstract:The aim of this paper is to extend a portfolio selection method based on MADM techniques for the case of interval data. In order to highlight the procedure of the proposed algorithm an example of product portfolio selection for a leasing company has been analyzed. Several numerical simulations have been performed in order to illustrate our interval data method.
The paper presents a method for evaluating and ranking researchers affiliated with a research and development institute. The method has been applied within the Multi-Attribute Decision Making paradigm, multi-decision maker and mono-state of nature sub-paradigm. The decision-makers are several members of the institute's Scientific Council, chosen bc means of ONICESCU method to make the mathematical modelling. Researchers' expertise lies in Academic Statistics, belonging to the scientometrics domain, whose weights are constructed bc DEMATEL method. The evaluation of researchers uses MAUT method. Bc adopting the current approach, the ranking of researchers upon their scientific merit is thus made possible.
Multi-Attribute Decision Making (MADM) theory is a way to obtain good quality assessment for parallel and distributed software. It provides adequate tools to compute a synthetic characterization, named High Performance Computing (HPC) merit, which may be used in operations like software comparisons / rankings / optimizations. The paper presents the general assessment model with its associated assessment problems and a terse and telling case study. The assessment model is described and solved by the Internet mathematical service named OPTCHOICE (MADM modeling and optimal choice problem solving). It provides a multitude of normalization and solving methods generating diverse assessments, but always a global assessment is delivered.
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