Assessing Normalization Techniques for TOPSIS Method

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

Abstract

In recent years, data normalization is receiving considerable attention due to its essential role in decision problems. Especially, considering the new developments in Big data and Artificial Intelligent to handle heterogeneous data from sensors, normalization’s role as a preprocessing step for complex decision problems is more distinguished. However, selecting the best normalization technique among several introduced techniques in the literature is still an open issue. In this study we focus on evaluating normalization techniques in Multi-Criteria Decision Making (MCDM) methods namely for Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to recommend the most proper technique. A small numerical example, borrowed from literature, is used to show the applicability of the proposed assessment framework using several metrics for recommending the most suitable technique. This study helps decision makers to improve the accuracy of the final ranking of results in decision problems by selecting the best normalization technique for the related case study.

Original languageEnglish
Title of host publicationTechnological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
EditorsLuis M. Camarinha-Matos, Pedro Ferreira, Guilherme Brito
Place of PublicationCham
PublisherSpringer
Pages132-141
Number of pages10
ISBN (Electronic)978-3-030-78288-7
ISBN (Print)978-3-030-78287-0
DOIs
Publication statusPublished - 2021
Event12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021 - Costa de Caparica and Online, Portugal
Duration: 7 Jul 20219 Jul 2021

Publication series

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume626
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
Country/TerritoryPortugal
CityCosta de Caparica and Online
Period7/07/219/07/21

Keywords

  • Aggregation
  • Artificial Intelligence
  • Big data
  • Data fusion
  • Decision making
  • MCDM
  • Normalization
  • TOPSIS

Fingerprint

Dive into the research topics of 'Assessing Normalization Techniques for TOPSIS Method'. Together they form a unique fingerprint.

Cite this