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作 者:Xingli Wu Huchang Liao Shuxian Sun Zhengjun Wan
机构地区:[1]Business School,Sichuan University,Chengdu,610064,China [2]National Institute of Measurement and Testing Technology,Chengdu,610021,China
出 处:《Computer Modeling in Engineering & Sciences》2024年第6期3125-3146,共22页工程与科学中的计算机建模(英文)
摘 要:Agricultural investment project selection is a complex multi-criteria decision-making problem,as agricultural projects are easily influenced by various risk factors,and the evaluation information provided by decisionmakers usually involves uncertainty and inconsistency.Existing literature primarily employed direct preference elicitation methods to address such issues,necessitating a great cognitive effort on the part of decision-makers during evaluation,specifically,determining the weights of criteria.In this study,we propose an indirect preference elicitation method,known as a preference disaggregation method,to learn decision-maker preference models fromdecision examples.To enhance evaluation ease,decision-makers merely need to compare pairs of alternatives with which they are familiar,also known as reference alternatives.Probabilistic linguistic preference relations are employed to account for the presence of incomplete and uncertain information in such pairwise comparisons.To address the inconsistency among a group of decision-makers,we develop a pair of 0-1mixed integer programming models that consider both the semantics of linguistic terms and the belief degrees of decision-makers.Finally,we conduct a case study and comparative analysis.Results reveal the effectiveness of the proposed model in solving agricultural investment project selection problems with uncertain and inconsistent decision information.
关 键 词:Multiple criteria analysis preference disaggregation INCONSISTENCY probability linguistic preference relation investment project selection
分 类 号:F83[经济管理—金融学] TP39[自动化与计算机技术—计算机应用技术]
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