A Decision-Making Model With Intuitionistic Fuzzy Information for Selection of Enterprise Resource Planning Systems

Deb, Partha Pratim; Bhattacharya, Diptendu; Chatterjee, Indranath; Saha, Abhijit; Mishra, Arunodaya Raj; Ahammad, Sk Hasane

doi:10.1109/tem.2022.3215608

Cited by 13 publications

(10 citation statements)

References 85 publications

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“…Since its introduction, IFS has been used by many researchers for solving group decision-making issues. Unfortunately, none of the existing IF decision support models, namely IF-Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) (Rouyendegh et al, 2020), IF-Multi-Objective Optimization on the basis of Ratio Analysis with multiplicative form (MULTIMOORA) (Garg and Rani, 2022), IF-Evaluation based on Distance from Average Solution (EDAS) (Mishra et al, 2020), IF-COmplex PRoportional ASsessment (COPRAS) (Kumari and Mishra, 2020), and IFmeasurement of alternatives and ranking according to compromise solution (MARCOS) (Deb et al, 2022) don't deal with the "consensus-reaching process" for experts. Because of their knowledge and backgrounds, decision makers in multi-criteria group decisionmaking problems may have opinions that are very different from one another.…”

Section: Research Gaps and Our Contributionsmentioning

confidence: 99%

“…Definition 3 (Deb et al, 2022). For the IFNs ϕ 1 = α 1 , β 1 and ϕ 2 = α 2 , β 2 , the basic operations are:…”

Section: Preliminariesmentioning

confidence: 99%

“…This part aims to provide a comparative analysis of the developed consensus-based IF decision support model with the existing IF decision-making methods, namely IF-TOPSIS (Rouyendegh et al, 2020), IF-MULTIMOORA (Garg and Rani, 2022), IF-EDAS (Mishra et al, 2020), IF-COPRAS (Kumari and Mishra, 2020), and IF-MARCOS (Deb et al, 2022). These methods are applied to solve the addressed selection issue of OSS-LMS package selection.…”

Section: B Comparative Investigationmentioning

confidence: 99%

“…1. The consensus-reaching process for decision-makers is into the introduced model, while the available FF methods (Rouyendegh al., Garg and Rani, 2022;Kumari and Mishra, 2020;Deb et al, 2022) are unable to rectify the consensus level of experts. a result, our lessens process biases, making the process more significant and logical.…”

Section: B Comparative Investigationmentioning

confidence: 99%

“…provided a framework to determine the priority of a rail transit system from the perspective of green and low carbon Palanisami et al (2022). developed a new approach of multi-modal medical image fusion using IF sets Deb et al (2022). developed a decision-making model for the selection of enterprise resource planning systems Gohain et al (2022).…”

mentioning

confidence: 99%

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An Intuitionistic Fuzzy Consensus WASPAS Method for Assessment of Open-Source Software Learning Management Systems

Deb,

Bhattacharya,

Chatterjee

et al. 2023

Informatica

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Ineffective evaluation of open-source software learning management system (OSS-LMS) packages can negatively impact organizational effectiveness. Clients may struggle to select the best OSS-LMS package from a wide range of options, leading to a complex multi-criteria group decision-making (MCGDM) problem. This evaluates OSS-LMS packages based on several criteria like usability, functionality, e-learning standards, reliability, activity tracking, course development, assessment, backup and recovery, error reporting, efficiency, operating system compatibility, computer-managed instruction, authentication, authorization, troubleshooting, maintenance, upgrading, and scalability. Handling uncertain data is a vital aspect of OSS-LMS package evaluation. To tackle MCGDM issues, this study presents a consensus weighted sum product (c-WASPAS) method which is applied to an educational OSS-LMS package selection problem to evaluate four OSS-LMS packages, namely ATutor, eFront, Moodle, and Sakai. The findings indicate that the priority order of alternatives is Moodle > Sakai > eFront > ATutor and, therefore, MOODLE is the best OSS-LMS package for the case study. A sensitivity analysis of criteria weights is also conducted, as well as a comparative study, to demonstrate the effectiveness of the proposed method. It is essential to note that proper OSS-LMS package evaluation is crucial to avoid negative impacts on organizational performance. By addressing MCGDM issues and dealing with uncertain information, the c-WASPAS method presented in this study can assist clients in selecting the most appropriate OSS-LMS package from multiple alternatives. The findings of this study can benefit educational institutions and other organizations that rely on OSS-LMS packages to run their operations.

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