Fuzzy Covering Location Problems with Different Aggregation Operators

Darko Drakulić, Aleksandar Takači, Miroslav Marić


Covering location problems is well-known and very important class of combinatorial optimization
problems. Standard models for covering location problems cannot encompass real-life problems,
because they contain some degree of uncertainty. The use of fuzzy sets in modeling covering location
problems allows the implementation of these conditions. Depending on the type of problems, it is necessary
to use different aggregation operators in calculating solution’s quality. The aim of this study is
introducing of fuzzy sets with different corresponding conorms in modeling most known types of covering
location problems.

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