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
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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 |
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- Fuzzy Multi-objective Supplier Selection Problem: Possibilistic Programming Approach. (deposited 21 Feb 2019 11:09) [Currently Displayed]
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