DocumentCode :
119935
Title :
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
Link To Document :
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