Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/587
Title: A note on the use of Choquet and Sugeno integrals in minimal and maximal covering location problems
Authors: Takaci, Aleksandar
Stajner-Papuga, Ivana
Marić, Miroslav 
Drakulic, Darko
Affiliations: Informatics and Computer Science 
Keywords: Choquet integral;covering;maximal;minimal;Sugeno integral
Issue Date: 14-Oct-2014
Journal: SISY 2014 - IEEE 12th International Symposium on Intelligent Systems and Informatics, Proceedings
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.
URI: https://research.matf.bg.ac.rs/handle/123456789/587
ISBN: 9781479959969
DOI: 10.1109/SISY.2014.6923577
Appears in Collections:Research outputs

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