Knapsack problems with dependencies through non-additive measures and Choquet integral

被引:14
|
作者
Beliakov, Gleb [1 ]
机构
[1] Deakin Univ, Sch Informat Technol, 75 Pigdons Rd, Geelong, Vic 3216, Australia
关键词
Fuzzy sets; Capacities; Fuzzy measures; Choquet integral; Shapley value; Optimisation; Integer programming; ROBUST ORDINAL REGRESSION; FUZZY MEASURES; FORMULATIONS;
D O I
10.1016/j.ejor.2021.11.004
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In portfolio selection problems the items often depend on each other, and their synergies and redundan-cies need to be taken into account. We consider the knapsack problem in which the objective is modelled as the Choquet integral with respect to a supermodular capacity which quantifies possible synergies. We provide various formulations which lead to the standard linear mixed integer programs, applicable to small and large portfolios. We also study scalability of the solution methods and compare large problems defined with respect to 2-additive capacities which model pairwise interactions, and linear knapsack with respect to the Shapley values of these capacities.Published by Elsevier B.V.
引用
收藏
页码:277 / 286
页数:10
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