A note on the use of Choquet and Sugeno integrals in Minimal and Maximal Covering Location Problems

被引：0
|
作者：
Takaci, Aleksandar [1 ]
Stajner-Papuga, Ivana [2 ]
Maric, Miroslav [3 ]
Drakulic, Darko [4 ]
机构：
[1] Univ Novi Sad, Fac Technol, Novi Sad 21000, Serbia
[2] Univ Novi Sad, Dept Math & Informat, Novi Sad 21000, Serbia
[3] Univ Belgrade, Fac Math, Belgrade 11001, Serbia
[4] Univ East Sarajevo, Fac Philosophy, Lukavica, Bosnia & Herceg
来源：
2014 IEEE 12TH INTERNATIONAL SYMPOSIUM ON INTELLIGENT SYSTEMS AND INFORMATICS (SISY) | 2014年
关键词：
minimal; maximal; covering; Choquet integral; Sugeno integral; MCLP;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to show a potential applicability of some well-known fuzzy integrals, i.e., of the Choquet integral and the Sugeno integral, in Minimal and Maximal Covering location problems, i.e., in MinCLP and MCLP. Possible benefits of the use of Choquet and Sugeno integrals lie in the flexibility of a monotone set function which is the core of the observed integrals and which is being used for modelling Decision Maker's behavior. Mathematical models of Minimal and Maximal Covering location problems are given. Approach based on fuzzy integrals versus the standard two types of operators is discussed. Ideas for the future work and applications are presented.
引用
收藏
页码：159 / 162
页数：4
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