Novel Development to the Theory of Dombi Exponential Aggregation Operators in Neutrosophic Cubic Hesitant Fuzzy Sets: Applications to Solid Waste Disposal Site Selection

Algorithm 1

Algorithm using the dombi exponential aggregation operators (NCHFDWE) for MADM problems.

	Step 1: Identification of alternatives and attributes.
	Let , be the set of r alternatives, be s attributes. The NCHFS is used as weight for the attribute . A decision matrix is consisting fuzzy values, where represent the preference of alternative corresponding to attribute .
	Step 2. Allocation of weights to attributes
	The NCHF value is used as weight assigned to attribute .
	Step 3. Computation of weighted aggregated values
	Using NCHFDWE operators (equation (18)), we compute the aggregated values (j = 1, …, r) of alternatives .
	Step 4. Ranking of Alternatives
	We calculate the scores and similarity measures of the alternatives using equations (5), (10) and (14). Using scores and similarity measures, we rank the alternatives . If scores of two alternatives are equal, then, we use accuracy function for ranking and if they have same accuracy, we use certainty.