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 decisionm...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.展开更多
为保证汽车行车安全,前舱盖需满足刚度、模态和行人保护等要求。针对汽车前舱盖的轻量化设计需求,建立了铸铝一体化前舱盖有限元模型,分析了前舱盖的刚度、模态和行人保护性能,构建了RBF-Kriging混合近似模型并联合存档微遗传算法(archi...为保证汽车行车安全,前舱盖需满足刚度、模态和行人保护等要求。针对汽车前舱盖的轻量化设计需求,建立了铸铝一体化前舱盖有限元模型,分析了前舱盖的刚度、模态和行人保护性能,构建了RBF-Kriging混合近似模型并联合存档微遗传算法(archive based micro genetic algorithm,AMGA)对前舱盖进行多目标优化。针对多目标优化产生的Pareto解集,提出一种基于模糊层次分析-逼近理想解排序(fuzzy analytic hierarchy process-technique for order preference by similarity to ideal solution,FAHP-TOPSIS)法对Pareto非劣解进行综合性能排名,主客观相结合地选择出最优方案。结果表明,在满足性能要求的前提下,最优一体化前舱盖质量降低了32.14%,轻量化效果显著。展开更多
文摘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.
文摘为保证汽车行车安全,前舱盖需满足刚度、模态和行人保护等要求。针对汽车前舱盖的轻量化设计需求,建立了铸铝一体化前舱盖有限元模型,分析了前舱盖的刚度、模态和行人保护性能,构建了RBF-Kriging混合近似模型并联合存档微遗传算法(archive based micro genetic algorithm,AMGA)对前舱盖进行多目标优化。针对多目标优化产生的Pareto解集,提出一种基于模糊层次分析-逼近理想解排序(fuzzy analytic hierarchy process-technique for order preference by similarity to ideal solution,FAHP-TOPSIS)法对Pareto非劣解进行综合性能排名,主客观相结合地选择出最优方案。结果表明,在满足性能要求的前提下,最优一体化前舱盖质量降低了32.14%,轻量化效果显著。
