Chapter 4
The Technique For Order of Preference
by Similarity to Ideal Solution (TOPSIS)
Berna Uzun, Mustapha Taiwo, Aizhan Syidanova, and Dilber Uzun Ozsahin
Abstract The Technique for Order of Preference by Similarity to Ideal Solution
(TOPSIS) is the part of the analytical multi-criteria decision-making technique. The
main idea of this technique, the preferred alternative is the one with the most close to
the positive ideal solution and the further to the negative ideal solution. The positive
ideal solution is formed as a combination of the best points of each criterion. The
negative ideal solution is a combination of the worst points of each criterion. This
technique is only can be applied for the numerical dataset where the importance
weights of the criterion known or defined based on the experts opinion numerically.
And the ranking results can be obtained corresponding the importance weights of
the defined criteria. In this study the detailed information about this technique will
be presented.
Keywords Decision making · TOPSIS · Multi-criteria decision-making
B. Uzun (B) · D. Uzun Ozsahin
DESAM Institute, Near East University, Nicosia, Turkish Republic of Northern Cyprus, Turkey
e-mail: berna.uzun@neu.edu.tr
D. Uzun Ozsahin
e-mail: dilber.uzunozsahin@neu.edu.tr
B. Uzun
Department of Mathematics, Near East University, Nicosia, Turkish Republic of Northern Cyprus,
Turkey
M. Taiwo · D. Uzun Ozsahin
Department of Biomedical Engineering, Near East University, Nicosia, Turkish Republic of
Northern Cyprus, Turkey
A. Syidanova
Department of Architecture, Near East University, Nicosia, Turkish Republic of Northern Cyprus,
Turkey
e-mail: aizhansyidanova@gmail.com
D. Uzun Ozsahin
Medical Diagnostic Imaging Department, College of Health Science, University of Sharjah,
Sharjah, United Arab Emirates
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
D. Uzun Ozsahin et al. (eds.), Application of Multi-Criteria Decision Analysis in
Environmental and Civil Engineering, Professional Practice in Earth Sciences,
https://doi.org/10.1007/978-3-030-64765-0_4
25
The Technique For Order of Preference
by Similarity to Ideal Solution (TOPSIS)
Berna Uzun, Mustapha Taiwo, Aizhan Syidanova, and Dilber Uzun Ozsahin
Abstract The Technique for Order of Preference by Similarity to Ideal Solution
(TOPSIS) is the part of the analytical multi-criteria decision-making technique. The
main idea of this technique, the preferred alternative is the one with the most close to
the positive ideal solution and the further to the negative ideal solution. The positive
ideal solution is formed as a combination of the best points of each criterion. The
negative ideal solution is a combination of the worst points of each criterion. This
technique is only can be applied for the numerical dataset where the importance
weights of the criterion known or defined based on the experts opinion numerically.
And the ranking results can be obtained corresponding the importance weights of
the defined criteria. In this study the detailed information about this technique will
be presented.
Keywords Decision making · TOPSIS · Multi-criteria decision-making
B. Uzun (B) · D. Uzun Ozsahin
DESAM Institute, Near East University, Nicosia, Turkish Republic of Northern Cyprus, Turkey
e-mail: berna.uzun@neu.edu.tr
D. Uzun Ozsahin
e-mail: dilber.uzunozsahin@neu.edu.tr
B. Uzun
Department of Mathematics, Near East University, Nicosia, Turkish Republic of Northern Cyprus,
Turkey
M. Taiwo · D. Uzun Ozsahin
Department of Biomedical Engineering, Near East University, Nicosia, Turkish Republic of
Northern Cyprus, Turkey
A. Syidanova
Department of Architecture, Near East University, Nicosia, Turkish Republic of Northern Cyprus,
Turkey
e-mail: aizhansyidanova@gmail.com
D. Uzun Ozsahin
Medical Diagnostic Imaging Department, College of Health Science, University of Sharjah,
Sharjah, United Arab Emirates
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
D. Uzun Ozsahin et al. (eds.), Application of Multi-Criteria Decision Analysis in
Environmental and Civil Engineering, Professional Practice in Earth Sciences,
https://doi.org/10.1007/978-3-030-64765-0_4
25