The approach presented in this paper has very essential scope, as it can be used to predict the percentage measure
of sustainability for generations ahead. For example, if we have data values of the essential parameters for next ten
years, then the data values can be predicted for coming twenty years with the help of tools like artificial neural
networks. And thus using those values, one can predict the sustainability measure in percentage for next twenty
years. The model proposed in this paper exhibits three essential characteristics. First, it allows the combination of
various aspects of sustainability with different units of measurement with the help of normalizing technique.
Second, the methodology being flexible is easy to use and interpret. Third, it can predict the sustainability in
mathematical terms. Therefore, the model has the potential to become a practical tool to policy-makers, treatment
agencies and scientists involved in the field of sustainability measurement.