A Hybrid Fuzzy AHP-TOPSIS Technique for Open-Source Software Selection

The dissemination of OSS within corporate environments has been shaped by a range of factors that could be perceived either as impediments or catalysts in the process of adoption. This research employs the integrated Fuzzy-AHP-TOPSIS model to construct an evaluation framework for selecting open-source software. this study employed the FUZZY AHP method to examine the importance levels of criteria for enterprises when adopting OSS. Alongside the OSS evaluation hierarchy identified by fuzzy AHP, fuzzy TOPSIS has been employed to select what is arguably the most suitable open-source software for an e-commerce website available in the market today. The framework facilitates the assessment of objects based on various criteria while mitigating the subjectivity inherent in human evaluations. An application of the model has been implemented in the context of Vietnam. The ranking results indicate that Magento is the most suitable, followed by OpenCart and WooCommerce, respectively. This paper has provided valuable contributions not solely to the academic community but also to the community of practitioners. While this study has yielded valuable insights, several limitations also acknowledged, which could impact the broader applicability and effectiveness of the proposed hybrid fuzzy AHP-TOPSIS framework.