Open AccessMulti-objective optimization in determining the location of the transportation hub with generated data using nonparametric statistics
Author(s) -
R. J. Juman,
Nanang Susyanto
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1341/6/062035
Subject(s) - nonparametric statistics , constraint (computer aided design) , computer science , point (geometry) , operations research , mathematical statistics , mathematical optimization , econometrics , statistics , mathematics , geometry
In this paper, we will discuss a mathematical modeling in determining the location of the transportation hub, so that the transportation hub can be placed optimally. In general, determining the location of the transportation hub is only considered the quantitative factors. However, in this paper will also consider the qualitative factor. Multi attribute group decision making (MAGDM) method will be used to bring qualitative forms into quantitative forms. This model is assumed that the number of passengers at a passenger generation point is unknown, therefore in this modeling there is a stochastic constraint. The distribution of the number of passengers in this paper is also unknown, therefore this modeling will be completed using nonparametric statistics estimation with generated data.