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Erschienen in:
A Decision-Support Tool to Deal with the Strategies Alignment Process in Collaborative Networks Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

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

verfasst von : Nazanin Vafaei, Rita A. Ribeiro, Luis M. Camarinha-Matos

Erschienen in: Technological Innovation for Cyber-Physical Systems

Verlag: Springer International Publishing

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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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Vorheriges Kapitel Virtual Reference Feedback Tuning of MIMO Data-Driven Model-Free Adaptive Control Algorithms
Nächstes Kapitel A WLS Estimator for Target Localization in a Cooperative Wireless Sensor Network
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Metadaten
Titel
Normalization Techniques for Multi-Criteria Decision Making: Analytical Hierarchy Process Case Study
verfasst von
Nazanin Vafaei
Rita A. Ribeiro
Luis M. Camarinha-Matos
Copyright-Jahr
2016
Verlag
Springer International Publishing
Buch
Technological Innovation for Cyber-Physical Systems

Print ISBN: 978-3-319-31164-7

Electronic ISBN: 978-3-319-31165-4

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-31165-4_26

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