In this paper, we propose an extension of the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method, a widely used method for multi-criteria problems, taking the similarity between the variables into account, in order to penalize scenarios in which there is considerable variability. The motivation for our approach lies in the concept of sustainability, where a high value of one criterion cannot compensate for a too-low value of others, and therefore more balanced scenarios are thus preferred.

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Multi-criteria Evaluation: An Approach Based on Distance Operators

  • Luca Anzilli,
  • Marta Cardin,
  • Silvio Giove

摘要

In this paper, we propose an extension of the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method, a widely used method for multi-criteria problems, taking the similarity between the variables into account, in order to penalize scenarios in which there is considerable variability. The motivation for our approach lies in the concept of sustainability, where a high value of one criterion cannot compensate for a too-low value of others, and therefore more balanced scenarios are thus preferred.