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Data normalisation techniques in decision making: case study with TOPSIS method
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Orientador(es)
Resumo(s)
Data normalisation is essential for decision-making methods because data has to be numerical and comparable to be aggregated into a single score per alternative. In multi-criteria decision-making (MCDM), normalisation must convert criteria values into a common scale, thus, enabling rating and ranking of alternatives. Therefore, it is a challenge to select a suitable normalisation technique to represent an appropriate mapping from source data to a common scale. There are some attempts in the literature to address the subject of normalisation, but it is still an open question which technique is more appropriate for any MCDM method. Our research contribution is an assessment approach for evaluating normalisation techniques. Here, we focus on six well-known normalisation techniques and on TOPSIS method. The proposed assessment process provides a more robust evaluation and selection of the best normalisation technique for usage in TOPSIS.
Descrição
This work was partially funded by FCT Strategic Program UID/EEA/00066/203 of UNINOVA, CTS.
Palavras-chave
Consistency Correlation Data fusion Decision making MCDM Multi-criteria decision-making Normalisation TOPSIS Computer Science Applications Strategy and Management Information Systems and Management Management of Technology and Innovation