OPA Solver: A web-based software for Ordinal Priority Approach in multiple criteria decision analysis using JavaScript

Multiple criteria decision-making (MCDM) is an effective technique for evaluating and selecting alternative(s) based on a set of criteria/sub-criteria. Most MCDM techniques use cardinal data as input data. However, in real-world situations, decision-makers face difficulties, while providingexact val...

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Vydané v:SoftwareX Ročník 24; s. 101546
Hlavní autori: Mahmoudi, Amin, Sadeghi, Mahsa, Deng, Xiaopeng, Pan, Pengcheng
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 01.12.2023
Elsevier
Predmet:
JavaScript
Multiple criteria decision-making
Ordinal priority approach
Software
Spreadsheet
Spreadsheet
Software
Multiple criteria decision-making
Ordinal priority approach
JavaScript
ISSN:2352-7110, 2352-7110
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Shrnutí:Multiple criteria decision-making (MCDM) is an effective technique for evaluating and selecting alternative(s) based on a set of criteria/sub-criteria. Most MCDM techniques use cardinal data as input data. However, in real-world situations, decision-makers face difficulties, while providingexact values for comparing alternatives/criteria. While “Ordinal Data” is more tangible and straightforward to use by human. Considering human ability in ordinal thinking and expressing preferences, the Ordinal Priority Approach (OPA) was proposed in 2020 to solve the MCDM problems with the ordinal data as input. In the current study, a novel web-based software is developed using JavaScript to streamline and facilitate solving the OPA model. It (i) supports individual and group decision-making, (ii) calculates the weights of the experts, alternatives, and criteria, and (iii) determines confidence level value and uncertainty in the group decision-making problems to check the quality of the input and result. Promisingly, this software is user-friendly for users, time-efficient, accurate for solving MCDM problems, and practical with significant impacts on the academic and industrial worlds.
ISSN:2352-7110
2352-7110
DOI:10.1016/j.softx.2023.101546