- Published
- 2021-12-24
- Venue
- Decision Analytics Journal, vol. 2, pp. 100021
- Cited by
- 579
- Open access
- Yes, gold
- DOI
- 10.1016/j.dajour.2021.100021
Abstract
Selection of an appropriate Multiple Attribute Decision Making (MADM) method for providing a solution to a given MADM problem is always challenging endeavour. The challenge is even greater for situations where for a specific MADM problem there exist multiple MADM methods with similar degree of suitability. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and its dominant variant the Modified TOPSIS methods are two very similar methods applicable to the same type of MADM problems. This study provides extensive simulation-based comparisons and mathematical analysis of these two popular methods in order to clarify the confusion regarding their selection for solving MADM problems.
Cite this paper
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- APA 7
Chakraborty, S. (2021). TOPSIS and Modified TOPSIS: A comparative analysis. Decision Analytics Journal, 2, 100021. https://doi.org/10.1016/j.dajour.2021.100021
- MLA 9
Chakraborty, Subrata. "TOPSIS and Modified TOPSIS: A comparative analysis." Decision Analytics Journal, vol. 2, 2021, pp. 100021, https://doi.org/10.1016/j.dajour.2021.100021.
- Chicago
Chakraborty, Subrata. "TOPSIS and Modified TOPSIS: A comparative analysis." Decision Analytics Journal 2 (2021): 100021. https://doi.org/10.1016/j.dajour.2021.100021.
- GOST
Chakraborty S. TOPSIS and Modified TOPSIS: A comparative analysis // Decision Analytics Journal. — 2021. — Vol. 2. — P. 100021. — URL: https://doi.org/10.1016/j.dajour.2021.100021
- BibTeX
@article{chakraborty2021topsis, title = {{TOPSIS and Modified TOPSIS: A comparative analysis}}, author = {Subrata Chakraborty}, journal = {Decision Analytics Journal}, year = {2021}, volume = {2}, pages = {100021}, doi = {10.1016/j.dajour.2021.100021}, url = {https://doi.org/10.1016/j.dajour.2021.100021} }- RIS
TY - JOUR AU - Chakraborty, Subrata TI - TOPSIS and Modified TOPSIS: A comparative analysis JO - Decision Analytics Journal VL - 2 SP - 100021 PY - 2021 DA - 2021/12/24 DO - 10.1016/j.dajour.2021.100021 UR - https://doi.org/10.1016/j.dajour.2021.100021 ER -