Title
A note on the use of Choquet and Sugeno integrals in minimal and maximal covering location problems
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.
Year
DOI
Venue
2014
10.1109/SISY.2014.6923577
Intelligent Systems and Informatics
Keywords
Field
DocType
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,covering,maximal,minimal,intelligent systems,particle swarm optimization,optimization,mathematical model,informatics,computational complexity
Set function,Discrete mathematics,Sugeno integral,Fuzzy measure theory,Fuzzy logic,Operator (computer programming),Choquet integral,Monotone polygon,Mathematics,Computational complexity theory
Conference
ISSN
Citations 
PageRank 
1949-047X
1
0.36
References 
Authors
4
4
Name
Order
Citations
PageRank
Aleksandar Takaci1144.07
Ivana Stajner-Papuga2256.36
Miroslav Maric3386.83
Darko Drakulic431.79