Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS‐ARAS and COPRAS‐ARAS

Traditional Multi‐Criteria Decision Making (MCDM) methods have now become outdated; therefore, most researchers are focusing on more robust hybrid MCDM models that combine two or more MCDM techniques to address decision‐making problems. The authors attempted to create two novel hybrid MCDM systems...

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Main Authors: Goswami, Shankha Shubhra, Behera, Dhiren Kumar, Afzal, Asif, Kaladgi, Abdul Razak, Khan, Sher Afghan, Rajendran, Parvathy, Subbiah, Ram, Asif, Mohammad
Format: Article
Language:English
English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2021
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Online Access:http://irep.iium.edu.my/91000/7/91000_Analysis%20of%20a%20robot%20selection%20problem%20using%20two%20newly%20developed.pdf
http://irep.iium.edu.my/91000/13/91000_Analysis%20of%20a%20robot%20selection%20problem%20using%20two%20newly%20developed_SCOPUS.pdf
http://irep.iium.edu.my/91000/
https://www.mdpi.com/2073-8994/13/8/1331
https://doi.org/10.3390/sym13081331
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spelling my.iium.irep.910002021-08-16T04:21:23Z http://irep.iium.edu.my/91000/ Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS‐ARAS and COPRAS‐ARAS Goswami, Shankha Shubhra Behera, Dhiren Kumar Afzal, Asif Kaladgi, Abdul Razak Khan, Sher Afghan Rajendran, Parvathy Subbiah, Ram Asif, Mohammad TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) Traditional Multi‐Criteria Decision Making (MCDM) methods have now become outdated; therefore, most researchers are focusing on more robust hybrid MCDM models that combine two or more MCDM techniques to address decision‐making problems. The authors attempted to create two novel hybrid MCDM systems in this paper by integrating Additive Ratio ASsessment (ARAS) with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Complex PRoportional ASsessment (COPRAS). To demonstrate the ability and effectiveness of these two hybrid models i.e., TOPSIS‐ARAS and COPRAS‐ARAS were applied to solve a real‐time robot selection problem with 12 alternative robots and five selection criteria, while evaluating the parametric importance using the CRiteria Importance Through Inter criteria Correlation (CRITIC) objective weighting estimation tool. The rankings of the robot alternatives gained from these two hybrid models were also compared to the obtained results from eight other solo MCDM tools. Although the rankings by the applied methods slightly differ from each other, the final outcomes from all of the adopted techniques are consistent enough to suggest that robot 12 is the best choice followed by robot 11, and robot 4 is the worst one among these 12 alternatives. Spearman Correlation Coefficient (SCC) also reveals that the proposed rankings derived from various methods have a strong ranking relationship with one another. Finally, sensitivity analysis was performed to investigate the Multidisciplinary Digital Publishing Institute (MDPI) 2021-07-23 Article PeerReviewed application/pdf en http://irep.iium.edu.my/91000/7/91000_Analysis%20of%20a%20robot%20selection%20problem%20using%20two%20newly%20developed.pdf application/pdf en http://irep.iium.edu.my/91000/13/91000_Analysis%20of%20a%20robot%20selection%20problem%20using%20two%20newly%20developed_SCOPUS.pdf Goswami, Shankha Shubhra and Behera, Dhiren Kumar and Afzal, Asif and Kaladgi, Abdul Razak and Khan, Sher Afghan and Rajendran, Parvathy and Subbiah, Ram and Asif, Mohammad (2021) Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS‐ARAS and COPRAS‐ARAS. Symmetry, 13 (8). pp. 1-35. ISSN 2073-8994 https://www.mdpi.com/2073-8994/13/8/1331 https://doi.org/10.3390/sym13081331
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
spellingShingle TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
Goswami, Shankha Shubhra
Behera, Dhiren Kumar
Afzal, Asif
Kaladgi, Abdul Razak
Khan, Sher Afghan
Rajendran, Parvathy
Subbiah, Ram
Asif, Mohammad
Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS‐ARAS and COPRAS‐ARAS
description Traditional Multi‐Criteria Decision Making (MCDM) methods have now become outdated; therefore, most researchers are focusing on more robust hybrid MCDM models that combine two or more MCDM techniques to address decision‐making problems. The authors attempted to create two novel hybrid MCDM systems in this paper by integrating Additive Ratio ASsessment (ARAS) with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Complex PRoportional ASsessment (COPRAS). To demonstrate the ability and effectiveness of these two hybrid models i.e., TOPSIS‐ARAS and COPRAS‐ARAS were applied to solve a real‐time robot selection problem with 12 alternative robots and five selection criteria, while evaluating the parametric importance using the CRiteria Importance Through Inter criteria Correlation (CRITIC) objective weighting estimation tool. The rankings of the robot alternatives gained from these two hybrid models were also compared to the obtained results from eight other solo MCDM tools. Although the rankings by the applied methods slightly differ from each other, the final outcomes from all of the adopted techniques are consistent enough to suggest that robot 12 is the best choice followed by robot 11, and robot 4 is the worst one among these 12 alternatives. Spearman Correlation Coefficient (SCC) also reveals that the proposed rankings derived from various methods have a strong ranking relationship with one another. Finally, sensitivity analysis was performed to investigate the
format Article
author Goswami, Shankha Shubhra
Behera, Dhiren Kumar
Afzal, Asif
Kaladgi, Abdul Razak
Khan, Sher Afghan
Rajendran, Parvathy
Subbiah, Ram
Asif, Mohammad
author_facet Goswami, Shankha Shubhra
Behera, Dhiren Kumar
Afzal, Asif
Kaladgi, Abdul Razak
Khan, Sher Afghan
Rajendran, Parvathy
Subbiah, Ram
Asif, Mohammad
author_sort Goswami, Shankha Shubhra
title Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS‐ARAS and COPRAS‐ARAS
title_short Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS‐ARAS and COPRAS‐ARAS
title_full Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS‐ARAS and COPRAS‐ARAS
title_fullStr Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS‐ARAS and COPRAS‐ARAS
title_full_unstemmed Analysis of a robot selection problem using two newly developed hybrid MCDM models of TOPSIS‐ARAS and COPRAS‐ARAS
title_sort analysis of a robot selection problem using two newly developed hybrid mcdm models of topsis‐aras and copras‐aras
publisher Multidisciplinary Digital Publishing Institute (MDPI)
publishDate 2021
url http://irep.iium.edu.my/91000/7/91000_Analysis%20of%20a%20robot%20selection%20problem%20using%20two%20newly%20developed.pdf
http://irep.iium.edu.my/91000/13/91000_Analysis%20of%20a%20robot%20selection%20problem%20using%20two%20newly%20developed_SCOPUS.pdf
http://irep.iium.edu.my/91000/
https://www.mdpi.com/2073-8994/13/8/1331
https://doi.org/10.3390/sym13081331
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score 13.211869