摘要
研究一类复杂的隐性目标决策问题,它具有“决策目标难以完全数量化、结构化表示”、“决策者的偏好随决策分析进行而改变”、“决策问题常常具有NP难性质”等特征,并对问题的求解方法进行了讨论。基于交互式进化计算,建立处理该类决策问题的IDSS结构模型,讨论了各个模块的处理功能;最后以产品创新设计系统验证所提出模型的合理性。
A kind of complex decision-making problem with tacit objectives is studied. Such problem has three special characters as follows： the decision-making objective is difficult to be expressed completely in a quantitative and structurized way, the preference of policy-makers is changing during the decision-making process, and the problem generally has NP-hard character. The method for solving such decision-making problem is discussed. The structure model of the intelligent decision support system based on interactive evolutionary computation is developed, and the functions of each module in the proposed model are introduced. The rationality of the proposed model is shown by a product innovation design system.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
北大核心
2007年第2期217-221,共5页
Journal of Hefei University of Technology：Natural Science
基金
国家自然科学基金资助项目(70171033)
国家自然科学基金资助项目(70471046)
高等学校博士学科点专项科研基金资助项目(20050359006)
高等学校博士学科点专项科研基金资助项目(20040359004)
关键词
多准则决策
隐性目标函数
智能决策支持系统
交互式进化计算
multi-criterion decision-making
tacit objective function
intelligent decision support system（IDSS）
interactive evolutionary computation
