This study introduces EcoTOPSIS, a web-based decision support tool designed for sustainability project evaluation under the theme “Celebrating Innovation, Commercialisation and Publication.” The system employs the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to rank alternatives, enabling users to upload datasets, define benefit and cost criteria, assign weights, and obtain step-by-step outputs with visualizations. By integrating big data processing with automated computation, EcoTOPSIS enhances efficiency, accuracy, and transparency compared to traditional manual Multi-Criteria Decision-Making methods. Its interactive platform supports reproducibility, provides downloadable results, and offers practical applicability in areas such as project selection, technology adoption, and resource allocation. The tool effectively bridges the gap between theoretical models and real-world applications, reduces bias and computational errors, and facilitates evidence-based decision-making aligned with sustainable development objectives.
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Hussein, Muhammad Harris Farhan UNSPECIFIED Fadhaililamal, Fiqhley Ilmey A'mal UNSPECIFIED Arzanee, Nursyahirah Syafiqah UNSPECIFIED Kamarul Zaman, Muhammad Mukhlis UNSPECIFIED Md Rodzi, Zahari UNSPECIFIED |
| Subjects: | A General Works > Academies and learned societies (General) Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms |
| Divisions: | Universiti Teknologi MARA, Negeri Sembilan |
| Page Range: | pp. 124-127 |
| Keywords: | Big data analytics, decision support systems, multi-criteria decision-making, sustainability evaluation, TOPSIS method |
| Date: | 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/145794 |
145794.pdf
