ABSTRACT
Quantitative parameters is a type of variable whose data is measured numerically and continuous in nature. Fuzzification of parameters can be explained as the process of defining a fuzzy set and a suitable membership function for a particular parameter. Fuzzy set theory operators may be used to aggregate fuzzy sets/fuzzified parameters in the context of decision making. Certain properties such as handling cumulative effects, compensations, and interactions should be preserved along with the chosen operator to produce reliable output. There are several methods in the literature to weight the parameters. The first method is based on concentration/dilation operators which are directly used to upgrade or downgrade the parameters. The second method is finding weights using Chang's extent analysis and Buckly's methods by incorporating the experts, opinions. The grade of importance weights of the parameters are derived from the pairwise comparison matrix where the entries of this matrix are the preferences of decision makers’ judgments.
