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Specifically, the distances between evaluations and aspiration levels are calculated. Then, based on prospect theory, the aspiration levels are regarded as the reference points, and the gain and loss matrices of matching bodies are constructed, subsequently. Next, the overall prospect value matrices are constructed. Furthermore, a multi-objective optimization model maximizing the overall prospect values of two-sided matching bodies is built to determine the matching results. And a fast bi-objective non-dominated sorting genetic algorithm (BNSGA) is designed to solve the proposed model. Finally, an example is provided to illustrate the potential applications of the proposed method.<\/jats:p>","DOI":"10.3233\/jifs-182627","type":"journal-article","created":{"date-parts":[[2019,5,28]],"date-time":"2019-05-28T12:19:49Z","timestamp":1559045989000},"page":"6343-6358","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Hesitant multi-attribute two-sided matching: A perspective based on prospect theory"],"prefix":"10.1177","volume":"36","author":[{"given":"Xi","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Management Engineering, School of Economics &amp; Management, Xidian University, Xi\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Management Engineering, School of Economics &amp; Management, Xidian University, Xi\u2019an, 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