MASALAH TRANSPORTASI DENGAN JUMLAH SUPPLY, DEMAND, BIAYA ANGKUTAN, DAN VARIABEL KEPUTUSAN FUZZY

In this thesis discussed on fuzzy transportation problem (FTP) and multiobjective fuzzy transportation problem (MFTP) with number of supply, the amount of demand, transportation costs and the decision variable is expressed by trapezoidal fuzzy numbers. The solution of fuzzy transportation problem (F...

ver descrição completa

Detalhes bibliográficos
Principais autores: , LISTY VERMANA, , Dr. Salmah, M.Si.
Formato: Tese
Publicado em: [Yogyakarta] : Universitas Gadjah Mada 2014
Assuntos:
ETD
_version_ 1826049225947873280
author , LISTY VERMANA
, Dr. Salmah, M.Si.
author_facet , LISTY VERMANA
, Dr. Salmah, M.Si.
author_sort , LISTY VERMANA
collection UGM
description In this thesis discussed on fuzzy transportation problem (FTP) and multiobjective fuzzy transportation problem (MFTP) with number of supply, the amount of demand, transportation costs and the decision variable is expressed by trapezoidal fuzzy numbers. The solution of fuzzy transportation problem (FTP) with a number of supply, the amount of demand, transportation costs and the decision variables declared with trapezoidal fuzzy number, can be determined by Fuzzy Transport Algorithm (FTA) which utilizes Ranking Score Method (RSM) to determine the ranking of these numbers fuzzy. While the Pareto optimal solutions of the multiobjective transportation problem with supply amount, the amount of demand, transportation costs and the decision variable is expressed by trapezoidal fuzzy numbers can be determined by Multiobjective Fuzzy Transport Algorithm (MFTA). In determining the Pareto optimal solution of multiobjective fuzzy transportation problem (MFTP) can be done in two stages. The first stage is to bring the multiobjective fuzzy transportation problem (MFTP) be a fuzzy transportation problem (FTP) with a weighting method. Fuzzy transportation problem (FTP) that is obtained is called the weighting problem. The second stage is to solve the weighting problem obtained by Fuzzy Transportation Algorithm (FTA). In this thesis two numerical examples are also given to determine the optimal solution of Fuzzy Transportation Problem (FTP) by Algorithm Fuzzy Transportation (FTA) and a numerical example to determine the Pareto optimal solution of Multiobjective Fuzzy Transportation Problem (MFTP) with Multiobjective Fuzzy Transportation Algorithm (MFTA). Keywords: Trapezoid Fuzzy Number, Fuzzy Transportation Problem, Fuzzy Transportation Algorithm, Multiobjective Fuzzy Transportation Algorithm
first_indexed 2024-03-13T23:42:35Z
format Thesis
id oai:generic.eprints.org:134460
institution Universiti Gadjah Mada
last_indexed 2024-03-13T23:42:35Z
publishDate 2014
publisher [Yogyakarta] : Universitas Gadjah Mada
record_format dspace
spelling oai:generic.eprints.org:1344602016-03-04T07:58:19Z https://repository.ugm.ac.id/134460/ MASALAH TRANSPORTASI DENGAN JUMLAH SUPPLY, DEMAND, BIAYA ANGKUTAN, DAN VARIABEL KEPUTUSAN FUZZY , LISTY VERMANA , Dr. Salmah, M.Si. ETD In this thesis discussed on fuzzy transportation problem (FTP) and multiobjective fuzzy transportation problem (MFTP) with number of supply, the amount of demand, transportation costs and the decision variable is expressed by trapezoidal fuzzy numbers. The solution of fuzzy transportation problem (FTP) with a number of supply, the amount of demand, transportation costs and the decision variables declared with trapezoidal fuzzy number, can be determined by Fuzzy Transport Algorithm (FTA) which utilizes Ranking Score Method (RSM) to determine the ranking of these numbers fuzzy. While the Pareto optimal solutions of the multiobjective transportation problem with supply amount, the amount of demand, transportation costs and the decision variable is expressed by trapezoidal fuzzy numbers can be determined by Multiobjective Fuzzy Transport Algorithm (MFTA). In determining the Pareto optimal solution of multiobjective fuzzy transportation problem (MFTP) can be done in two stages. The first stage is to bring the multiobjective fuzzy transportation problem (MFTP) be a fuzzy transportation problem (FTP) with a weighting method. Fuzzy transportation problem (FTP) that is obtained is called the weighting problem. The second stage is to solve the weighting problem obtained by Fuzzy Transportation Algorithm (FTA). In this thesis two numerical examples are also given to determine the optimal solution of Fuzzy Transportation Problem (FTP) by Algorithm Fuzzy Transportation (FTA) and a numerical example to determine the Pareto optimal solution of Multiobjective Fuzzy Transportation Problem (MFTP) with Multiobjective Fuzzy Transportation Algorithm (MFTA). Keywords: Trapezoid Fuzzy Number, Fuzzy Transportation Problem, Fuzzy Transportation Algorithm, Multiobjective Fuzzy Transportation Algorithm [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , LISTY VERMANA and , Dr. Salmah, M.Si. (2014) MASALAH TRANSPORTASI DENGAN JUMLAH SUPPLY, DEMAND, BIAYA ANGKUTAN, DAN VARIABEL KEPUTUSAN FUZZY. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=77060
spellingShingle ETD
, LISTY VERMANA
, Dr. Salmah, M.Si.
MASALAH TRANSPORTASI DENGAN JUMLAH SUPPLY, DEMAND, BIAYA ANGKUTAN, DAN VARIABEL KEPUTUSAN FUZZY
title MASALAH TRANSPORTASI DENGAN JUMLAH SUPPLY, DEMAND, BIAYA ANGKUTAN, DAN VARIABEL KEPUTUSAN FUZZY
title_full MASALAH TRANSPORTASI DENGAN JUMLAH SUPPLY, DEMAND, BIAYA ANGKUTAN, DAN VARIABEL KEPUTUSAN FUZZY
title_fullStr MASALAH TRANSPORTASI DENGAN JUMLAH SUPPLY, DEMAND, BIAYA ANGKUTAN, DAN VARIABEL KEPUTUSAN FUZZY
title_full_unstemmed MASALAH TRANSPORTASI DENGAN JUMLAH SUPPLY, DEMAND, BIAYA ANGKUTAN, DAN VARIABEL KEPUTUSAN FUZZY
title_short MASALAH TRANSPORTASI DENGAN JUMLAH SUPPLY, DEMAND, BIAYA ANGKUTAN, DAN VARIABEL KEPUTUSAN FUZZY
title_sort masalah transportasi dengan jumlah supply demand biaya angkutan dan variabel keputusan fuzzy
topic ETD
work_keys_str_mv AT listyvermana masalahtransportasidenganjumlahsupplydemandbiayaangkutandanvariabelkeputusanfuzzy
AT drsalmahmsi masalahtransportasidenganjumlahsupplydemandbiayaangkutandanvariabelkeputusanfuzzy