Fuzzy covering location problems with different aggregation operators | Zendy

Darko Drakulić | Zendy; Aleksandar Takači | Zendy; Miroslav Marić | Zendy

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Fuzzy covering location problems with different aggregation operators

Author(s) -

Darko Drakulić,

Aleksandar Takači,

Miroslav Marić

Publication year - 2017

Publication title -

filomat

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.449

H-Index - 34

eISSN - 2406-0933

pISSN - 0354-5180

DOI - 10.2298/fil1702513d

Subject(s) - mathematics , fuzzy logic , class (philosophy) , type (biology) , mathematical optimization , degree (music) , computer science , artificial intelligence , ecology , physics , acoustics , biology

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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