Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic

Seyed Behnam Khakbaz; Maryam Karimi Davijani

doi:doi:10.11648/j.jim.20150405.21

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Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic

Seyed Behnam Khakbaz, Maryam Karimi Davijani

Published in Journal of Investment and Management (Volume 4, Issue 5)

Received: 20 July 2015 Accepted: 3 August 2015 Published: 13 August 2015

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Abstract

One of the major challenges in decision making is selection among MCDM (multi criteria decision making) methods. These methods do not provide same answer to decision maker. Therefore selecting the best answer is an important dilemma. To solve this problem, methods like Borda and Copeland compilation have been proposed. However, applying these methods leads to a hybrid solution which is not necessarily the best answer. In this paper a new approach is proposed to rank different MCDM methods. This approach is AUROC (area under receiver operating characteristic) which is a data mining tool for ranking classification models. The results would show great potential of applying AUROC for ranking MCDM methods in an immense selection problem with historical outcome

Published in	Journal of Investment and Management (Volume 4, Issue 5)
DOI	10.11648/j.jim.20150405.21
Page(s)	210-215
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Receiver Operating Characteristic, Multi Criteria Decision Making, Area Under ROC, Ranking MADM Methods

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[8]	J. Antucheviciene, A. Zakarevicius and E. K. Zavadskas, "Measuring Congruence of Ranking Results Applying Particular MCDM Methods," INFORMATICA, pp. 319-338, 2011.
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APA Style

Seyed Behnam Khakbaz, Maryam Karimi Davijani. (2015). Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic. Journal of Investment and Management, 4(5), 210-215. https://doi.org/10.11648/j.jim.20150405.21

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ACS Style

Seyed Behnam Khakbaz; Maryam Karimi Davijani. Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic. J. Invest. Manag. 2015, 4(5), 210-215. doi: 10.11648/j.jim.20150405.21

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AMA Style

Seyed Behnam Khakbaz, Maryam Karimi Davijani. Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic. J Invest Manag. 2015;4(5):210-215. doi: 10.11648/j.jim.20150405.21

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@article{10.11648/j.jim.20150405.21,
  author = {Seyed Behnam Khakbaz and Maryam Karimi Davijani},
  title = {Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic},
  journal = {Journal of Investment and Management},
  volume = {4},
  number = {5},
  pages = {210-215},
  doi = {10.11648/j.jim.20150405.21},
  url = {https://doi.org/10.11648/j.jim.20150405.21},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jim.20150405.21},
  abstract = {One of the major challenges in decision making is selection among MCDM (multi criteria decision making) methods. These methods do not provide same answer to decision maker. Therefore selecting the best answer is an important dilemma. To solve this problem, methods like Borda and Copeland compilation have been proposed. However, applying these methods leads to a hybrid solution which is not necessarily the best answer. In this paper a new approach is proposed to rank different MCDM methods. This approach is AUROC (area under receiver operating characteristic) which is a data mining tool for ranking classification models. The results would show great potential of applying AUROC for ranking MCDM methods in an immense selection problem with historical outcome},
 year = {2015}
}

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TY  - JOUR
T1  - Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic
AU  - Seyed Behnam Khakbaz
AU  - Maryam Karimi Davijani
Y1  - 2015/08/13
PY  - 2015
N1  - https://doi.org/10.11648/j.jim.20150405.21
DO  - 10.11648/j.jim.20150405.21
T2  - Journal of Investment and Management
JF  - Journal of Investment and Management
JO  - Journal of Investment and Management
SP  - 210
EP  - 215
PB  - Science Publishing Group
SN  - 2328-7721
UR  - https://doi.org/10.11648/j.jim.20150405.21
AB  - One of the major challenges in decision making is selection among MCDM (multi criteria decision making) methods. These methods do not provide same answer to decision maker. Therefore selecting the best answer is an important dilemma. To solve this problem, methods like Borda and Copeland compilation have been proposed. However, applying these methods leads to a hybrid solution which is not necessarily the best answer. In this paper a new approach is proposed to rank different MCDM methods. This approach is AUROC (area under receiver operating characteristic) which is a data mining tool for ranking classification models. The results would show great potential of applying AUROC for ranking MCDM methods in an immense selection problem with historical outcome
VL  - 4
IS  - 5
ER  -

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Author Information

Seyed Behnam Khakbaz

Faculty of Management, University of Tehran, Tehran, Iran
Maryam Karimi Davijani

College of Farabi, University of Tehran, Qom, Iran

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APA Style

Seyed Behnam Khakbaz, Maryam Karimi Davijani. (2015). Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic. Journal of Investment and Management, 4(5), 210-215. https://doi.org/10.11648/j.jim.20150405.21

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ACS Style

Seyed Behnam Khakbaz; Maryam Karimi Davijani. Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic. J. Invest. Manag. 2015, 4(5), 210-215. doi: 10.11648/j.jim.20150405.21

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AMA Style

Seyed Behnam Khakbaz, Maryam Karimi Davijani. Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic. J Invest Manag. 2015;4(5):210-215. doi: 10.11648/j.jim.20150405.21

Copy | Download

@article{10.11648/j.jim.20150405.21,
  author = {Seyed Behnam Khakbaz and Maryam Karimi Davijani},
  title = {Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic},
  journal = {Journal of Investment and Management},
  volume = {4},
  number = {5},
  pages = {210-215},
  doi = {10.11648/j.jim.20150405.21},
  url = {https://doi.org/10.11648/j.jim.20150405.21},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jim.20150405.21},
  abstract = {One of the major challenges in decision making is selection among MCDM (multi criteria decision making) methods. These methods do not provide same answer to decision maker. Therefore selecting the best answer is an important dilemma. To solve this problem, methods like Borda and Copeland compilation have been proposed. However, applying these methods leads to a hybrid solution which is not necessarily the best answer. In this paper a new approach is proposed to rank different MCDM methods. This approach is AUROC (area under receiver operating characteristic) which is a data mining tool for ranking classification models. The results would show great potential of applying AUROC for ranking MCDM methods in an immense selection problem with historical outcome},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Ranking Multi Criteria Decision Making Methods for a Problem by Area Under Receiver Operating Characteristic
AU  - Seyed Behnam Khakbaz
AU  - Maryam Karimi Davijani
Y1  - 2015/08/13
PY  - 2015
N1  - https://doi.org/10.11648/j.jim.20150405.21
DO  - 10.11648/j.jim.20150405.21
T2  - Journal of Investment and Management
JF  - Journal of Investment and Management
JO  - Journal of Investment and Management
SP  - 210
EP  - 215
PB  - Science Publishing Group
SN  - 2328-7721
UR  - https://doi.org/10.11648/j.jim.20150405.21
AB  - One of the major challenges in decision making is selection among MCDM (multi criteria decision making) methods. These methods do not provide same answer to decision maker. Therefore selecting the best answer is an important dilemma. To solve this problem, methods like Borda and Copeland compilation have been proposed. However, applying these methods leads to a hybrid solution which is not necessarily the best answer. In this paper a new approach is proposed to rank different MCDM methods. This approach is AUROC (area under receiver operating characteristic) which is a data mining tool for ranking classification models. The results would show great potential of applying AUROC for ranking MCDM methods in an immense selection problem with historical outcome
VL  - 4
IS  - 5
ER  -

Copy | Download