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The reference points associated with prospect theory are in the form of interval-valued intuitionistic fuzzy number (IVIFN) and we assume the membership degree and non-membership degree of the IVIFN obey normal distribution according to the central limit theorem. We combine the properties of normal distribution and the attitudinal character associated with the ordered weighted averaging (OWA) operator to convert all the reference points into crisp numbers. We construct one feasible multiple objective optimization programming to obtain the optimal weight vector of the attributes by minimizing the deviation between the alternative and the reference point corresponding to each alternative. The hybrid weighted averaging (HWA) operator is applied to aggregate the prospect values for each alternative. Especially, we directly reorder the weighted prospect values considering their plus or minus, which reflects the decision-maker\u2019s attitudinal character towards risk as well. Finally, an illustrative example about group-buying is provided to show the feasibility of the proposed method.<\/jats:p>","DOI":"10.3233\/jifs-16543","type":"journal-article","created":{"date-parts":[[2016,10,21]],"date-time":"2016-10-21T11:28:32Z","timestamp":1477049312000},"page":"2563-2578","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["A prospect theory based approach to\u00a0multiple attribute decision making considering the decision maker\u2019s attitudinal\u00a0character"],"prefix":"10.1177","volume":"32","author":[{"given":"Junfeng","family":"Chu","sequence":"first","affiliation":[{"name":"School of Economics and Management, Southeast University, Nanjing, China"},{"name":"Centre for System Informatics Engineering, City University of Hong Kong, Shenzhen, 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