Normalization Techniques for Multi-Criteria Decision Making: Analytical Hierarchy Process Case Study

Abstract : Multi-Criteria Decision Making (MCDM) methods use normalization techniques to allow aggregation of criteria with numerical and comparable data. With the advent of Cyber Physical Systems, where big data is collected from heterogeneous sensors and other data sources, finding a suitable normalization technique is also a challenge to enable data fusion (integration). Therefore, data fusion and aggregation of criteria are similar processes of combining values either from criteria or from sensors to obtain a common score. In this study, our aim is to discuss metrics for assessing which are the most appropriate normalization techniques in decision problems, specifically for the Analytical Hierarchy Process (AHP) multi-criteria method. AHP uses a pairwise approach to evaluate the alternatives regarding a set of criteria and then fuses (aggregation) the evaluations to determine the final ratings (scores).
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Communication dans un congrès
Luis M. Camarinha-Matos; António J. Falcão; Nazanin Vafaei; Shirin Najdi. 7th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2016, Costa de Caparica, Portugal. IFIP Advances in Information and Communication Technology, AICT-470, pp.261-269, 2016, Technological Innovation for Cyber-Physical Systems. 〈10.1007/978-3-319-31165-4_26〉
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Nazanin Vafaei, Rita Ribeiro, Luis Camarinha-Matos. Normalization Techniques for Multi-Criteria Decision Making: Analytical Hierarchy Process Case Study. Luis M. Camarinha-Matos; António J. Falcão; Nazanin Vafaei; Shirin Najdi. 7th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2016, Costa de Caparica, Portugal. IFIP Advances in Information and Communication Technology, AICT-470, pp.261-269, 2016, Technological Innovation for Cyber-Physical Systems. 〈10.1007/978-3-319-31165-4_26〉. 〈hal-01438251〉

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