A Weighting Method Based on the Improved Hesitation of Pythagorean Fuzzy Sets

The existing expert weight determination method for multi-attribute decision making based on the Pythagorean fuzzy number approach does not make sufficient use of hesitation involved with information, which may cause biased assignment. Therefore, to address issue unknown weights and attribute evaluation numbers in group decision-making problems, a is proposed that improves treatment sets. Firstly, proximity experts similarity modified ones are determined according matrix. Then, integrated from aspects corrected obtain an assembled comprehensive Finally, alternatives ranked using PF-TOPSIS method. results analysis data verification demonstrate fully utilizes leading significant improvement rationality accuracy problems.