A fuzzy goal programming approach for solving fuzzy multi-objective stochastic linear programming problem

Mahmoud Masoud; H. A. Khalifa; Shi Qiang Liu; Mohammed Elhenawy; Peng Wu

doi:10.1109/IESM45758.2019.8948204

A fuzzy goal programming approach for solving fuzzy multi-objective stochastic linear programming problem

Mahmoud Masoud
, H. A. Khalifa
, Shi Qiang Liu
, Mohammed Elhenawy
, Peng Wu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper deals with the multi-objective chance constrained programming, where the right hand side of the constraints are normally distributed and the objective functions with fuzzy numbers coefficients. A fuzzy goal programming approach is developed for the corresponding deterministic problem by defining membership values and aspiration levels. The advantage of the proposed approach is the decision-maker's role only in estimating the efficient solution to avoid or atleast limit the influences of his/her knowledge incomplete about the studied problem. A numerical example is given in the utility of the paper to illustrate the applied and the efficiency of the approach.

Original language	English
Title of host publication	Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019
Editors	Feifeng Zheng, Feng Chu, Ming Liu
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728115665
DOIs	https://doi.org/10.1109/IESM45758.2019.8948204
State	Published - Sep 2019
Externally published	Yes
Event	2019 International Conference on Industrial Engineering and Systems Management, IESM 2019 - Shanghai, China Duration: 25 Sep 2019 → 27 Sep 2019

Publication series

Name	Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

Conference

Conference	2019 International Conference on Industrial Engineering and Systems Management, IESM 2019
Country/Territory	China
City	Shanghai
Period	25/09/19 → 27/09/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Chance constrained programming
Fuzzy programming
Goal programming
Joint probability distribution
Normal distribution
Optimal compromise solution
fuzzy numbers

ASJC Scopus subject areas

Strategy and Management
Artificial Intelligence
Information Systems and Management
Management Science and Operations Research
Industrial and Manufacturing Engineering

Access to Document

10.1109/IESM45758.2019.8948204

Cite this

Masoud, M., Khalifa, H. A., Liu, S. Q., Elhenawy, M., & Wu, P. (2019). A fuzzy goal programming approach for solving fuzzy multi-objective stochastic linear programming problem. In F. Zheng, F. Chu, & M. Liu (Eds.), Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019 Article 8948204 (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IESM45758.2019.8948204

Masoud, Mahmoud ; Khalifa, H. A. ; Liu, Shi Qiang et al. / A fuzzy goal programming approach for solving fuzzy multi-objective stochastic linear programming problem. Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019. editor / Feifeng Zheng ; Feng Chu ; Ming Liu. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019).

@inproceedings{233fd4c8675346a183cf87d8ce7930fa,

title = "A fuzzy goal programming approach for solving fuzzy multi-objective stochastic linear programming problem",

abstract = "This paper deals with the multi-objective chance constrained programming, where the right hand side of the constraints are normally distributed and the objective functions with fuzzy numbers coefficients. A fuzzy goal programming approach is developed for the corresponding deterministic problem by defining membership values and aspiration levels. The advantage of the proposed approach is the decision-maker's role only in estimating the efficient solution to avoid or atleast limit the influences of his/her knowledge incomplete about the studied problem. A numerical example is given in the utility of the paper to illustrate the applied and the efficiency of the approach.",

keywords = "Chance constrained programming, Fuzzy programming, Goal programming, Joint probability distribution, Normal distribution, Optimal compromise solution, fuzzy numbers",

author = "Mahmoud Masoud and Khalifa, \{H. A.\} and Liu, \{Shi Qiang\} and Mohammed Elhenawy and Peng Wu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019 ; Conference date: 25-09-2019 Through 27-09-2019",

year = "2019",

month = sep,

doi = "10.1109/IESM45758.2019.8948204",

language = "English",

series = "Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Feifeng Zheng and Feng Chu and Ming Liu",

booktitle = "Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019",

address = "United States",

}

Masoud, M, Khalifa, HA, Liu, SQ, Elhenawy, M & Wu, P 2019, A fuzzy goal programming approach for solving fuzzy multi-objective stochastic linear programming problem. in F Zheng, F Chu & M Liu (eds), Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019., 8948204, Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019, Institute of Electrical and Electronics Engineers Inc., 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019, Shanghai, China, 25/09/19. https://doi.org/10.1109/IESM45758.2019.8948204

A fuzzy goal programming approach for solving fuzzy multi-objective stochastic linear programming problem. / Masoud, Mahmoud; Khalifa, H. A.; Liu, Shi Qiang et al.
Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019. ed. / Feifeng Zheng; Feng Chu; Ming Liu. Institute of Electrical and Electronics Engineers Inc., 2019. 8948204 (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Elhenawy, Mohammed

AU - Wu, Peng

PY - 2019/9

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N2 - This paper deals with the multi-objective chance constrained programming, where the right hand side of the constraints are normally distributed and the objective functions with fuzzy numbers coefficients. A fuzzy goal programming approach is developed for the corresponding deterministic problem by defining membership values and aspiration levels. The advantage of the proposed approach is the decision-maker's role only in estimating the efficient solution to avoid or atleast limit the influences of his/her knowledge incomplete about the studied problem. A numerical example is given in the utility of the paper to illustrate the applied and the efficiency of the approach.

AB - This paper deals with the multi-objective chance constrained programming, where the right hand side of the constraints are normally distributed and the objective functions with fuzzy numbers coefficients. A fuzzy goal programming approach is developed for the corresponding deterministic problem by defining membership values and aspiration levels. The advantage of the proposed approach is the decision-maker's role only in estimating the efficient solution to avoid or atleast limit the influences of his/her knowledge incomplete about the studied problem. A numerical example is given in the utility of the paper to illustrate the applied and the efficiency of the approach.

KW - Chance constrained programming

KW - Fuzzy programming

KW - Goal programming

KW - Joint probability distribution

KW - Normal distribution

KW - Optimal compromise solution

KW - fuzzy numbers

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DO - 10.1109/IESM45758.2019.8948204

M3 - Conference contribution

AN - SCOPUS:85078796557

T3 - Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

BT - Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Masoud M, Khalifa HA, Liu SQ, Elhenawy M, Wu P. A fuzzy goal programming approach for solving fuzzy multi-objective stochastic linear programming problem. In Zheng F, Chu F, Liu M, editors, Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8948204. (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019). doi: 10.1109/IESM45758.2019.8948204

A fuzzy goal programming approach for solving fuzzy multi-objective stochastic linear programming problem

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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