标题：An extended MULTIMOORA method for probabilistic linguistic multi-criteria group decision-making based on prospect theory
作者：Liu, Peide; Li, Ying
通讯作者：Liu, P;Liu, PD
作者机构：[Liu, Peide; Li, Ying] Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan 250014, Shandong, Peoples R China.
会议名称：16th International Conference on Project Management and Scheduling (PMS)
会议日期：APR 17-20, 2018
来源：COMPUTERS & INDUSTRIAL ENGINEERING
关键词：Probabilistic linguistic; PLDWA; PT-MULTIMOORA; MCGDM
摘要：The development of social economy has rendered the decision-making environment more complex. To better adapt to the environment and solve practical decision-making problems, this study uses the probabilistic linguistic terms set (PLTS) to describe qualitative information, which can not only provide every possible evaluation value, but can also yield the weight or proportion of these values. Based on the PLTS, we propose a probabilistic linguistic-dependent weighted average (PLDWA) operator; then, we establish the prospect theory-based multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) method (PT-MULTIMOORA) and extend it to the probabilistic linguistic information (PLI) environment. Moreover, we propose a final value determination method for the PT-MULTIMOORA method. Based on the combination of the PLDWA operator and the PT-MULTIMOORA method, we develop a novel approach to solve multiple criteria group decision making (MCGDM) problems with PLI. Two practical cases are demonstrated to verify the feasibility and superiority of the proposed method.