A note on the use of Choquet and Sugeno integrals in minimal and maximal covering location problems

Author

Takaci, Aleksandar ; Stajner-Papuga, Ivana ; Maric, Miroslav ; Drakulic, Darko

Author_Institution

Fac. of Technol., Univ. of Novi Sad, Novi Sad, Serbia

fYear

2014

fDate

11-13 Sept. 2014

Firstpage

159

Lastpage

162

Abstract

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.

Keywords

fuzzy set theory; optimisation; Choquet integral; Choquet integrals; MCLP; Mathematical models; MinCLP; Sugeno integral; Sugeno integrals; decision maker behavior; fuzzy integrals; maximal covering location problem; minimal covering location problem; Computational complexity; Educational institutions; Informatics; Intelligent systems; Mathematical model; Optimization; Particle swarm optimization; Choquet integral; Sugeno integral; covering; maximal; minimal;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Informatics (SISY), 2014 IEEE 12th International Symposium on

Conference_Location

Subotica

Type

conf

DOI

10.1109/SISY.2014.6923577

Filename

6923577