SOLVING THE INTERVAL-VALUED OPTIMIZATION PROBLEMS BASED ON THE CONCEPT OF NULL SET

被引:15
|
作者
Wu, Hsien-Chung [1 ]
机构
[1] Natl Kaohsiung Normal Univ, Dept Math, Kaohsiung 802, Taiwan
关键词
Minimal element; maximal element; Hukuhara difference; partial ordering; pointed cone; PROGRAMMING-PROBLEMS; OPTIMALITY CONDITIONS; OBJECTIVE FUNCTIONS; DUALITY; COEFFICIENTS;
D O I
10.3934/jimo.2018004
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We introduce the concept of null set in the space of all bounded closed intervals. Based on this concept, we can define two partial orderings according to the substraction and Hukuhara difference between any two bounded closed intervals, which will be used to define the solution concepts of interval-valued optimization problems. On the other hand, we transform the interval-valued optimization problems into the conventional vector optimization problem. Under these settings, we can apply the technique of scalarization to solve this transformed vector optimization problem. Finally, we show that the optimal solution of the scalarized problem is also the optimal solution of the original interval-valued optimization problem.
引用
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页码:1157 / 1178
页数:22
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