Selection of normalization technique for weighted average multi-criteria decision making

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

One of the main challenges when evaluating resilience frameworks is the aggregation of different criteria. To calculate the final level of resilience we have to measure different criteria and then fuse the information to obtain a score. Normalization is a crucial step in any decision making process of evaluation of alternatives or frameworks. Normalization transforms heterogeneous criteria data (qualitative, quantitative, different units, etc.) into numerical and comparable data to enable aggregation (fusion) of criteria to determine the rating of decision alternatives. In this study, we evaluate the effects of different normalization techniques on the most well-known multi-criteria (MCDM) method, called Weighted Average (WA) or SAW (Simple Additive Weighting). A small case study for selecting resilience frameworks illustrates our assessment process for selecting the suitable normalization technique.

Original languageEnglish
Title of host publicationTechnological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings
EditorsL. M. Camarinha-Matos, K. O. AduKankam, M. Julashokri
PublisherSpringer New York LLC
Pages43-52
Number of pages10
ISBN (Print)9783319785738
DOIs
Publication statusPublished - 1 Jan 2018
Event9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018 - Costa de Caparica, Portugal
Duration: 2 May 20184 May 2018

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer New York LLC
Volume521
ISSN (Print)1868-4238

Conference

Conference9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018
CountryPortugal
CityCosta de Caparica
Period2/05/184/05/18

Keywords

  • Aggregation
  • Data fusion
  • Decision making
  • MCDM
  • Normalization
  • Pearson correlation
  • Resilient systems
  • SAW
  • Spearman correlation
  • WA

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