Multi-Criteria Decision-Making with Novel Pythagorean Fuzzy Aggregation Operators

Algorithm 1

Decision-making algorithm.

	Phase i. Obtain the decision matrix from DMs. .
	Phase ii. The decision matrix should be normalised. When we have various kinds of criteria or attributes, such as cost and benefit, we normalise the decision matrix by taking the complement of the cost criteria.
	Phase iii. Find or for each .
	Phase iv. Evaluate the SFs for all for the collective overall PFNs.
	Phase v. Rank all the according to the score values.