Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique

The decision to purchase the best available electric power wheelchair (EPWC) for a person with a disability in a low-resource context is very stressful, whether it is based on financial circumstances or the availability of medical solutions. The study's objective is to assess the EPWC...

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Autores principales:	Sushil Kumar Sahoo, Bibhuti Bhusan Choudhury
Formato:	article
Lenguaje:	EN
Publicado:	Growing Science 2022
Materias:	Analysis QA299.6-433 Business mathematics. Commercial arithmetic. Including tables, etc. HF5691-5716
Acceso en línea:	https://doaj.org/article/8debd9b07b474252b3d82f81c3d4be98
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spelling	oai:doaj.org-article:8debd9b07b474252b3d82f81c3d4be982021-11-12T06:26:20ZOptimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique1929-58041929-581210.5267/j.dsl.2021.10.002https://doaj.org/article/8debd9b07b474252b3d82f81c3d4be982022-01-01T00:00:00Zhttp://www.growingscience.com/dsl/Vol11/dsl_2021_35.pdfhttps://doaj.org/toc/1929-5804https://doaj.org/toc/1929-5812 The decision to purchase the best available electric power wheelchair (EPWC) for a person with a disability in a low-resource context is very stressful, whether it is based on financial circumstances or the availability of medical solutions. The study's objective is to assess the EPWC options available on the market, focused on a set of conflicting criteria. In this research, three multi-criteria decision-making (MCDM) approaches are used to make decisions. ENTROPY method for weightage calculation of various parameters, COPRAS and EDAS methods for evaluating and ranking alternatives are applied. Both COPRAS and EDAS are applied separately for ranking of selected wheelchair models, and to check the robustness of the applied method, sensitivity analysis on cost criterion is carried out. The result shows that for both methods, EPWC-1 is the top priority model to buy, whereas EPWC-7 is the worst model for COPRAS, and EPWC-10 is the worst model for EDAS among the ten alternatives.Sushil Kumar SahooBibhuti Bhusan ChoudhuryGrowing SciencearticleAnalysisQA299.6-433Business mathematics. Commercial arithmetic. Including tables, etc.HF5691-5716ENDecision Science Letters, Vol 11, Iss 1, Pp 21-34 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Analysis QA299.6-433 Business mathematics. Commercial arithmetic. Including tables, etc. HF5691-5716
spellingShingle	Analysis QA299.6-433 Business mathematics. Commercial arithmetic. Including tables, etc. HF5691-5716 Sushil Kumar Sahoo Bibhuti Bhusan Choudhury Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique
description	The decision to purchase the best available electric power wheelchair (EPWC) for a person with a disability in a low-resource context is very stressful, whether it is based on financial circumstances or the availability of medical solutions. The study's objective is to assess the EPWC options available on the market, focused on a set of conflicting criteria. In this research, three multi-criteria decision-making (MCDM) approaches are used to make decisions. ENTROPY method for weightage calculation of various parameters, COPRAS and EDAS methods for evaluating and ranking alternatives are applied. Both COPRAS and EDAS are applied separately for ranking of selected wheelchair models, and to check the robustness of the applied method, sensitivity analysis on cost criterion is carried out. The result shows that for both methods, EPWC-1 is the top priority model to buy, whereas EPWC-7 is the worst model for COPRAS, and EPWC-10 is the worst model for EDAS among the ten alternatives.
format	article
author	Sushil Kumar Sahoo Bibhuti Bhusan Choudhury
author_facet	Sushil Kumar Sahoo Bibhuti Bhusan Choudhury
author_sort	Sushil Kumar Sahoo
title	Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique
title_short	Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique
title_full	Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique
title_fullStr	Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique
title_full_unstemmed	Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique
title_sort	optimal selection of an electric power wheelchair using an integrated copras and edas approach based on entropy weighting technique
publisher	Growing Science
publishDate	2022
url	https://doaj.org/article/8debd9b07b474252b3d82f81c3d4be98
work_keys_str_mv	AT sushilkumarsahoo optimalselectionofanelectricpowerwheelchairusinganintegratedcoprasandedasapproachbasedonentropyweightingtechnique AT bibhutibhusanchoudhury optimalselectionofanelectricpowerwheelchairusinganintegratedcoprasandedasapproachbasedonentropyweightingtechnique
_version_	1718431183543468032

Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique

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