DocumentCode
642831
Title
Solving minimal covering location problem (MinCLP) with the aid of fuzzy sets
Author
Takaci, Aleksandar ; Maric, Miroslav ; Drakulic, Darko
Author_Institution
Fac. of Technol., Univ. of Novi Sad, Novi Sad, Serbia
fYear
2013
fDate
26-28 Sept. 2013
Firstpage
177
Lastpage
180
Abstract
The object of Minimal Covering Location Problem (MinCLP) is to find a placement of the locations which have the minimal coverage. Minimal Covering location problem is the opposite of the Maximal Covering Location Problem (MCLP) which is more studied in literature. The role of fuzzy sets in the improvement of MCLP was studied in several papers in the past and the role of fuzzy sets in the improvement of MinCLP is analyzed in this paper. Two different models for two different classes of Fuzzy MinCLP will be presented.
Keywords
fuzzy set theory; MCLP improvement; MinCLP; fuzzy sets; maximal covering location problem; minimal covering location problem; Computational modeling; Educational institutions; Fuzzy sets; Informatics; Intelligent systems; Mathematical model; Pollution; covering; distances; fuzzy; location; minimal;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems and Informatics (SISY), 2013 IEEE 11th International Symposium on
Conference_Location
Subotica
Print_ISBN
978-1-4799-0303-0
Type
conf
DOI
10.1109/SISY.2013.6662564
Filename
6662564
Link To Document