摘要
本文通过引入优属度非被支配等新概念，利用备择对象的目标特征值和部分权重信息，解决普遍存在的多目标优化问题，给出确定最优对象的最少信息．本文所提出的方法避免了获取决策者效用信息的困难．
In this paper,with some new concepts, such as optimal membership nondominancy etc.,by use of the character values of alternatives and the incomplete information about attribute weights, the multi-objective optimization problem which exists widespreadly is discussed. The minimum information needed to determine the most preferred alternative is identified. The approach given in this paper avoids the difficulty of obtaining the utility information of the decision maker, and has the advantage of using less decision information than any other given method.
出处
《系统工程学报》
CSCD
1996年第2期1-6,共6页
Journal of Systems Engineering
关键词
决策
多目标优化
特征值
线性规划
optimal membership nondominancy,approximate degree nondominancy,reference nondominancy
