parameters: (self)
return_statement: return normalised_quantitive_criteria_ranking
docstring: Normalises the values for the categories ranked using quantities e.g. fuel consumption.
  
          Returns:
              list:   Normalised ranking of alternatives for quantitative categories.
docstring_summary: Normalises the values for the categories ranked using quantities e.g. fuel consumption.
docstring_tokens: Normalises the values for the categories ranked using quantities e . g . fuel consumption .
function: def _normalise_quantitative_rank(self) -> list:
          """ Normalises the values for the categories ranked using quantities e.g. fuel consumption.
  
          Returns:
              list:   Normalised ranking of alternatives for quantitative categories.
  
          """
          log.log(logging.INFO, "Compile normalised ranking")
          normalised_quantitive_criteria_ranking = []
          for x in self.quantitative_criteria:
              quant_criteria = self.alternative_scores.get(x)
              sum_quant_criteria = sum(quant_criteria)
              normalised_quantitive_criteria = tuple([i / sum_quant_criteria for i in quant_criteria])
              normalised_quantitive_criteria_ranking.append({x: normalised_quantitive_criteria})
          return normalised_quantitive_criteria_ranking
function_tokens: def _normalise_quantitative_rank ( self ) -> list : log . log ( logging . INFO , "Compile normalised ranking" ) normalised_quantitive_criteria_ranking = [ ] for x in self . quantitative_criteria : quant_criteria = self . alternative_scores . get ( x ) sum_quant_criteria = sum ( quant_criteria ) normalised_quantitive_criteria = tuple ( [ i / sum_quant_criteria for i in quant_criteria ] ) normalised_quantitive_criteria_ranking . append ( { x : normalised_quantitive_criteria } ) return normalised_quantitive_criteria_ranking