Rank similarity based MADM method selection

Subrata Chakraborty; Chung-Hsing Yeh

doi:10.1109/ICSSBE.2012.6396586

Rank similarity based MADM method selection

Subrata Chakraborty
, Chung-Hsing Yeh

Applied Computing

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

13 Citations (Scopus)

Abstract

Selecting the most suitable Multiple Attribute Decision Making (MADM) method for a given MADM problem is a challenge for the decision maker. When there are several suitable MADM methods available for the problem, the challenge is even greater. We present a novel MADM method selection approach based on the Spearman's rank correlation. The approach will help the decision maker in selecting the most preferred MADM method from a set of suitable and acceptable methods. The most preferred MADM method is the one that produces the most preferred outcome. The most preferred outcome is the one which is closest to all other outcomes. The closeness between the ranking outcomes are measured in terms of the similarity between them.

Original language	English
Title of host publication	2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE)
Place of Publication	Los Alamitos, United States of America
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1-6
ISBN (Print)	9781467315821, 9781467315814
DOIs	https://doi.org/10.1109/ICSSBE.2012.6396586
Publication status	Published - 31 Dec 2012
Event	ICSSBE 2012: International Conference on Statistics in Science, Business and Engineering 2012 - Langkawi, Malaysia Duration: 10 Sept 2012 → 12 Sept 2012

Conference

Conference	ICSSBE 2012: International Conference on Statistics in Science, Business and Engineering 2012
City	Langkawi, Malaysia
Period	10/09/12 → 12/09/12

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10.1109/ICSSBE.2012.6396586

https://hdl.handle.net/1959.11/52952

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title = "Rank similarity based MADM method selection",

abstract = "Selecting the most suitable Multiple Attribute Decision Making (MADM) method for a given MADM problem is a challenge for the decision maker. When there are several suitable MADM methods available for the problem, the challenge is even greater. We present a novel MADM method selection approach based on the Spearman's rank correlation. The approach will help the decision maker in selecting the most preferred MADM method from a set of suitable and acceptable methods. The most preferred MADM method is the one that produces the most preferred outcome. The most preferred outcome is the one which is closest to all other outcomes. The closeness between the ranking outcomes are measured in terms of the similarity between them.",

author = "Subrata Chakraborty and Chung-Hsing Yeh",

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booktitle = "2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE)",

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Chakraborty, S & Yeh, C-H 2012, Rank similarity based MADM method selection. in 2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE). Institute of Electrical and Electronics Engineers (IEEE), Los Alamitos, United States of America, pp. 1-6, ICSSBE 2012: International Conference on Statistics in Science, Business and Engineering 2012, Langkawi, Malaysia, 10/09/12. https://doi.org/10.1109/ICSSBE.2012.6396586

Rank similarity based MADM method selection. / Chakraborty, Subrata; Yeh, Chung-Hsing.
2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE). Los Alamitos, United States of America: Institute of Electrical and Electronics Engineers (IEEE), 2012. p. 1-6.

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

TY - GEN

T1 - Rank similarity based MADM method selection

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AU - Yeh, Chung-Hsing

PY - 2012/12/31

Y1 - 2012/12/31

N2 - Selecting the most suitable Multiple Attribute Decision Making (MADM) method for a given MADM problem is a challenge for the decision maker. When there are several suitable MADM methods available for the problem, the challenge is even greater. We present a novel MADM method selection approach based on the Spearman's rank correlation. The approach will help the decision maker in selecting the most preferred MADM method from a set of suitable and acceptable methods. The most preferred MADM method is the one that produces the most preferred outcome. The most preferred outcome is the one which is closest to all other outcomes. The closeness between the ranking outcomes are measured in terms of the similarity between them.

AB - Selecting the most suitable Multiple Attribute Decision Making (MADM) method for a given MADM problem is a challenge for the decision maker. When there are several suitable MADM methods available for the problem, the challenge is even greater. We present a novel MADM method selection approach based on the Spearman's rank correlation. The approach will help the decision maker in selecting the most preferred MADM method from a set of suitable and acceptable methods. The most preferred MADM method is the one that produces the most preferred outcome. The most preferred outcome is the one which is closest to all other outcomes. The closeness between the ranking outcomes are measured in terms of the similarity between them.

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DO - 10.1109/ICSSBE.2012.6396586

M3 - Conference contribution

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BT - 2012 International Conference on Statistics in Science, Business and Engineering (ICSSBE)

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T2 - ICSSBE 2012: International Conference on Statistics in Science, Business and Engineering 2012

Y2 - 10 September 2012 through 12 September 2012

ER -

Rank similarity based MADM method selection

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