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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 8

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems

MCDA-based Decision Support System for Sustainable Management – RES Case Study

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DOI: http://dx.doi.org/10.15439/2016F489

Citation: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 8, pages 1235–1239 ()

Full text

Abstract. The MCDA methods are used in order to solve complex decision-making problems which require considering many contradictory criteria. They are also the basis of DSS. However, few MCDA methods allow noticing mutual dependencies between criteria. Nevertheless, these dependences are common in practice and can have an influence on the obtained solution. A class of decision-making problems, in which there are intercriteria dependences, are decisions in the sustainability area, e.g. selection of a location and a design of an RES-based power station. The article presents a complex model, taking into consideration dependencies between criteria, which is based on the ANP method. The model, which can constitute a decision-making engine of DSS, has been verified with relation to the AHP model that cannot notice this type of dependencies.

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