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Symbiotic technology assessment in iron and steel industry based on entropy TOPSIS method
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References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1981Multiple Attribute Decision Making: Methods and Applications8,206 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 2016Innovation and technology transfer through global value chains: Evidence from China's PV industry319 cited
  • 2018Selecting sustainable energy conversion technologies for agricultural residues: A fuzzy AHP-VIKOR based prioritization from life cycle perspective172 cited
  • 2018Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights117 cited
  • 2016Sustainability assessment of groundwater remediation technologies based on multi-criteria decision making method77 cited
  • 2018Determination of most suitable low-emission energy technologies development in Poland using integrated fuzzy AHP-TOPSIS method67 cited
  • 2018Probabilistic multi-criteria assessment of renewable micro-generation technologies in households64 cited
  • 2018A bibliometric-based technique to identify emerging photovoltaic technologies in a comparative assessment with expert review40 cited

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  • 2025Customer Clustering and Marketing Optimization in Hospitality: A Hybrid Data Mining and Decision-Making Approach from an Emerging Economy14 cited

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