Fatrias, Dicky and Indrapriyatna, Ahmad Syafruddin and Meilani, Difana (2015) Fuzzy Multi-objective Supplier Selection Problem: Possibilistic Programming Approach. In: Industrial Engineering, Management Science and Applications 2015. Springer, pp. 521-529. ISBN 978-3-662-47199-9
This is the latest version of this item.
|
Text (Fuzzy Multi-objective Supplier Selection Problem: Possibilistic Programming Approach)
Fuzzy-Multi-Objective-Supplier-Selection-Problem.pdf Download (18MB) | Preview |
Abstract
In this paper, a multi-objective mathematical model is developed in fuzzy environment in which the vagueness in aspiration level of objectives and data imprecision regarding the selection criteria and related constraints are con- sidered simultaneously as a source of fuzziness. In the model, such data impreci- sion is presented based on the estimation of its possibility distribution to better capture the uncertainty. Finally, a fuzzy solution methodology is constructed by the aid of weighted additive aggregation function to derive optimal solution. As pre- liminary investigation, we report that the proposed model is more flexible and con- venient than the previous models whose imprecise parameters are treated as a given single estimated value.
Item Type: | Book Section |
---|---|
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
Divisions: | Fakultas Teknik |
Depositing User: | Difana Meilani |
Date Deposited: | 21 Feb 2019 11:09 |
Last Modified: | 25 Feb 2019 11:46 |
URI: | http://repo.unand.ac.id/id/eprint/21815 |
Available Versions of this Item
- Fuzzy Multi-objective Supplier Selection Problem: Possibilistic Programming Approach. (deposited 21 Feb 2019 11:09) [Currently Displayed]
Actions (login required)
View Item |