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

Nazanin Vafaei; Rita A. Ribeiro; Luis M. Camarinha-Matos

doi:10.1007/978-3-319-78574-5_4

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

26 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 language	English
Title of host publication	Technological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings
Editors	L. M. Camarinha-Matos, K. O. AduKankam, M. Julashokri
Publisher	Springer New York LLC
Pages	43-52
Number of pages	10
ISBN (Print)	9783319785738
DOIs	https://doi.org/10.1007/978-3-319-78574-5_4
Publication status	Published - 1 Jan 2018
Event	9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018 - Costa de Caparica, Portugal Duration: 2 May 2018 → 4 May 2018

Publication series

Name	IFIP Advances in Information and Communication Technology
Publisher	Springer New York LLC
Volume	521
ISSN (Print)	1868-4238

Conference

Conference	9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018
Country/Territory	Portugal
City	Costa de Caparica
Period	2/05/18 → 4/05/18

Keywords

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

Access to Document

10.1007/978-3-319-78574-5_4

Cite this

Vafaei, N., Ribeiro, R. A., & Camarinha-Matos, L. M. (2018). Selection of normalization technique for weighted average multi-criteria decision making. In L. M. Camarinha-Matos, K. O. AduKankam, & M. Julashokri (Eds.), Technological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings (pp. 43-52). (IFIP Advances in Information and Communication Technology; Vol. 521). Springer New York LLC. https://doi.org/10.1007/978-3-319-78574-5_4

Vafaei, Nazanin ; Ribeiro, Rita A. ; Camarinha-Matos, Luis M. / Selection of normalization technique for weighted average multi-criteria decision making. Technological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings. editor / L. M. Camarinha-Matos ; K. O. AduKankam ; M. Julashokri. Springer New York LLC, 2018. pp. 43-52 (IFIP Advances in Information and Communication Technology).

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title = "Selection of normalization technique for weighted average multi-criteria decision making",

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.",

keywords = "Aggregation, Data fusion, Decision making, MCDM, Normalization, Pearson correlation, Resilient systems, SAW, Spearman correlation, WA",

author = "Nazanin Vafaei and Ribeiro, {Rita A.} and Camarinha-Matos, {Luis M.}",

note = "This work was partially funded by FCT Strategic Program UID/EEA/00066/203 of UNINOVA, CTS.; 9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018 ; Conference date: 02-05-2018 Through 04-05-2018",

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doi = "10.1007/978-3-319-78574-5_4",

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Vafaei, N , Ribeiro, RA & Camarinha-Matos, LM 2018, Selection of normalization technique for weighted average multi-criteria decision making. in LM Camarinha-Matos, KO AduKankam & M Julashokri (eds), Technological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings. IFIP Advances in Information and Communication Technology, vol. 521, Springer New York LLC, pp. 43-52, 9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Costa de Caparica, Portugal, 2/05/18. https://doi.org/10.1007/978-3-319-78574-5_4

Selection of normalization technique for weighted average multi-criteria decision making. / Vafaei, Nazanin ; Ribeiro, Rita A.; Camarinha-Matos, Luis M.

Technological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings. ed. / L. M. Camarinha-Matos; K. O. AduKankam; M. Julashokri. Springer New York LLC, 2018. p. 43-52 (IFIP Advances in Information and Communication Technology; Vol. 521).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Selection of normalization technique for weighted average multi-criteria decision making

AU - Vafaei, Nazanin

AU - Ribeiro, Rita A.

AU - Camarinha-Matos, Luis M.

N1 - This work was partially funded by FCT Strategic Program UID/EEA/00066/203 of UNINOVA, CTS.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

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BT - Technological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings

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A2 - Julashokri, M.

PB - Springer New York LLC

T2 - 9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018

Y2 - 2 May 2018 through 4 May 2018

ER -

Vafaei N , Ribeiro RA , Camarinha-Matos LM. Selection of normalization technique for weighted average multi-criteria decision making. In Camarinha-Matos LM, AduKankam KO, Julashokri M, editors, Technological Innovation for Resilient Systems - 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, Proceedings. Springer New York LLC. 2018. p. 43-52. (IFIP Advances in Information and Communication Technology). https://doi.org/10.1007/978-3-319-78574-5_4

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

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Keywords

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