{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T01:31:56Z","timestamp":1778549516055,"version":"3.51.4"},"reference-count":42,"publisher":"World Scientific Pub Co Pte Ltd","issue":"05","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["72071045"],"award-info":[{"award-number":["72071045"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71771051"],"award-info":[{"award-number":["71771051"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Info. Tech. Dec. Mak."],"published-print":{"date-parts":[[2023,9]]},"abstract":"<jats:p> Technique for order preference by similarity to ideal solution (TOPSIS) is a famous technique for solving multicriteria decision-making problems. However, the classical TOPSIS is invalid to distinguish the alternatives when the distances to the PIS and NIS are the same, and the current researchers about TOPSIS seldom consider the psychological characteristics of loss aversion and regret aversion which affect the decision quality in real world. This paper proposes a behavioral TOPSIS with prospect theory and regret theory considering risk attitudes. First, the defect of classical TOPSIS is illustrated as motivation. Next, we introduce a behavioral TOPSIS with prospect theory and show how it overcomes the defect of classical TOPSIS.\u00a0Then, regret theory is applied to extend behavioral TOPSIS to show the regret attitude. Finally, a numerical example is used to demonstrate the feasibility and comparative analysis is presented to show the novelty and validity of the proposed method. <\/jats:p>","DOI":"10.1142\/s0219622022500778","type":"journal-article","created":{"date-parts":[[2022,11,9]],"date-time":"2022-11-09T16:33:21Z","timestamp":1668011601000},"page":"1591-1615","source":"Crossref","is-referenced-by-count":18,"title":["The Behavioral TOPSIS Based on Prospect Theory and Regret Theory"],"prefix":"10.1142","volume":"22","author":[{"given":"Xinwang","family":"Liu","sequence":"first","affiliation":[{"name":"School of Economics and Management, Southeast University, Nanjing 210096, Jiangsu, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuyao","family":"Yang","sequence":"additional","affiliation":[{"name":"Guanghua School of Management, Peking University, Beijing 100871, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Southeast University, Nanjing 210096, Jiangsu, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2022,11,9]]},"reference":[{"key":"S0219622022500778BIB001","doi-asserted-by":"crossref","first-page":"790","DOI":"10.1016\/j.ejor.2022.03.040","volume":"303","author":"Li Y.","year":"2022","journal-title":"European Journal of Operational Research"},{"key":"S0219622022500778BIB002","doi-asserted-by":"crossref","first-page":"2344","DOI":"10.1002\/er.4016","volume":"42","author":"Kaya I.","year":"2018","journal-title":"International Journal of Energy Research"},{"key":"S0219622022500778BIB003","doi-asserted-by":"crossref","first-page":"118680","DOI":"10.1016\/j.apenergy.2022.118680","volume":"311","author":"Kou G.","year":"2022","journal-title":"Applied Energy"},{"key":"S0219622022500778BIB004","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1007\/s10696-016-9263-5","volume":"30","author":"Banasik A.","year":"2018","journal-title":"Flexible Services and Manufacturing Journal"},{"key":"S0219622022500778BIB005","doi-asserted-by":"crossref","first-page":"2524","DOI":"10.1016\/j.jclepro.2016.11.023","volume":"142","author":"Ansari Z. 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