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
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;
Conference_Titel :
Intelligent Systems and Informatics (SISY), 2013 IEEE 11th International Symposium on
Conference_Location :
Subotica
Print_ISBN :
978-1-4799-0303-0
DOI :
10.1109/SISY.2013.6662564
