<p>A variety of fuzzy sets are often used to describe the ambiguity of information and confront the uncertainty of the real world with the context of two-sided matching group decision-making problems. Pythagorean fuzzy sets (PFSs) consider hesitant psychology of decision-makers, offering more flexibility in expressing decision-makers’ preference. Pythagorean fuzzy sets permit two-sided agents to express their subjective preference information. In order to establish a foundation based on unified expert opinions, this paper proposes a two-sided matching group decision-making model that takes into account expert feedback. Firstly, we proposed a method for experts to reach group consensus. In the process of reaching consensus, feedback information of decision-makers is considered. Secondly, based on decision information reaching group consensus, this paper establishes the two-sided matching model. The model aims to maximize the satisfaction of both sets of agents. Finally, a numerical example is used to expound the method. The study confirms the effectiveness of the proposed method through comparative analysis.</p>