Solving multi-objective multilevel programming problems using two-phase intuitionistic fuzzy goal programming method

Article published by Elsevier in the Journal of Computational Science Volume 63, September 2022, 101786

Guardado en:
Detalles Bibliográficos
Autores principales: Mollalign, Demmelash, Mushi, Allen R., Guta, Berhanu
Formato: Artículo
Lenguaje:inglés
Publicado: Elsevier 2024
Materias:
Acceso en línea:https://doi.org/10.1016/j.jocs.2022.101786
https://scholar.mzumbe.ac.tz/handle/123456789/621
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1820347767705305088
author Mollalign, Demmelash
Mushi, Allen R.
Guta, Berhanu
author_facet Mollalign, Demmelash
Mushi, Allen R.
Guta, Berhanu
author_sort Mollalign, Demmelash
collection DSpace
description Article published by Elsevier in the Journal of Computational Science Volume 63, September 2022, 101786
format Article
id oai:41.59.85.69:123456789-621
institution Mzumbe University
language English
publishDate 2024
publisher Elsevier
record_format dspace
spelling oai:41.59.85.69:123456789-6212024-04-16T05:57:56Z Solving multi-objective multilevel programming problems using two-phase intuitionistic fuzzy goal programming method Mollalign, Demmelash Mushi, Allen R. Guta, Berhanu Multi-objective programming Multilevel programming Intuitionistic fuzzy goal programming Intuitionistic fuzzy decision set Two-phase model Article published by Elsevier in the Journal of Computational Science Volume 63, September 2022, 101786 This paper presents a two-phase intuitionistic fuzzy goal programming (two-phase IFGP) algorithm to solve Multi-Objective Multilevel Programming (MO-MLP) problems. The coefficient of each objective and constraint function is assumed to be triangular intuitionistic fuzzy parameters and the crisp MO-MLP problems are obtained using the accuracy function method. To avoid decision lock, the top levels set tolerance limits for decision variables to control the lower levels. The problem is modeled in the intuitionistic fuzzy environment using membership and non-membership functions for each objective function at all levels and decision variables controlled by the top levels. Then, we proposed an IFGP algorithm to achieve the highest degree of each membership and non-membership goal by minimizing unwanted deviational variables and generating compensatory solutions for all decision-makers at all levels. Moreover, in the proposed approach, two-phase IFGP is modeled to yield a compromise solution that satisfies both the MN-Pareto optimal solution and the Pareto optimal solution at each level. Also, verification of the proposed method is discussed with numerical examples. Private 2024-04-16T05:57:53Z 2024-04-16T05:57:53Z 2022 Article APA https://doi.org/10.1016/j.jocs.2022.101786 https://scholar.mzumbe.ac.tz/handle/123456789/621 en application/pdf Elsevier
spellingShingle Multi-objective programming
Multilevel programming
Intuitionistic fuzzy goal programming
Intuitionistic fuzzy decision set
Two-phase model
Mollalign, Demmelash
Mushi, Allen R.
Guta, Berhanu
Solving multi-objective multilevel programming problems using two-phase intuitionistic fuzzy goal programming method
title Solving multi-objective multilevel programming problems using two-phase intuitionistic fuzzy goal programming method
title_full Solving multi-objective multilevel programming problems using two-phase intuitionistic fuzzy goal programming method
title_fullStr Solving multi-objective multilevel programming problems using two-phase intuitionistic fuzzy goal programming method
title_full_unstemmed Solving multi-objective multilevel programming problems using two-phase intuitionistic fuzzy goal programming method
title_short Solving multi-objective multilevel programming problems using two-phase intuitionistic fuzzy goal programming method
title_sort solving multi objective multilevel programming problems using two phase intuitionistic fuzzy goal programming method
topic Multi-objective programming
Multilevel programming
Intuitionistic fuzzy goal programming
Intuitionistic fuzzy decision set
Two-phase model
url https://doi.org/10.1016/j.jocs.2022.101786
https://scholar.mzumbe.ac.tz/handle/123456789/621
work_keys_str_mv AT mollaligndemmelash solvingmultiobjectivemultilevelprogrammingproblemsusingtwophaseintuitionisticfuzzygoalprogrammingmethod
AT mushiallenr solvingmultiobjectivemultilevelprogrammingproblemsusingtwophaseintuitionisticfuzzygoalprogrammingmethod
AT gutaberhanu solvingmultiobjectivemultilevelprogrammingproblemsusingtwophaseintuitionisticfuzzygoalprogrammingmethod