Multi-objective programming became more and more popular in real world decision making problems in recent decades. There is an underlying and fundamental uncertainty in almost all of these problems. Among different frameworks of dealing with uncertainty, probability and statistic-based schemes are well-known. In this paper, a method is developed to find some efficient solutions of a multi-objective stochastic programming problem. The method composed a process of transforming the stochastic multi-objective problem to a bi-objective equivalent using the concept of Chebyshev inequality bounds and then solving the obtained problem with a fuzzy set based approach. Application of the proposed method is examined on two numerical examples and the results are compared with different methods. These comparisons illustrated that the results are satisfying.
Accepté le :
DOI : 10.1051/ro/2018018
Mots clés : Multi-objective decision-making, stochastic programming, mean–variance criterion, fuzzy set based approach
@article{RO_2018__52_4-5_1201_0, author = {Amoozad Mahdiraji, Hannan and Razavi Hajiagha, Seyed Hossein and Hashemi, Shide Sadat and Zavadskas, Edmundas Kazimieras}, title = {Bi-objective mean{\textendash}variance method based on {Chebyshev} inequality bounds for multi-objective stochastic problems}, journal = {RAIRO - Operations Research - Recherche Op\'erationnelle}, pages = {1201--1217}, publisher = {EDP-Sciences}, volume = {52}, number = {4-5}, year = {2018}, doi = {10.1051/ro/2018018}, zbl = {1433.90092}, mrnumber = {3880600}, language = {en}, url = {http://www.numdam.org/articles/10.1051/ro/2018018/} }
TY - JOUR AU - Amoozad Mahdiraji, Hannan AU - Razavi Hajiagha, Seyed Hossein AU - Hashemi, Shide Sadat AU - Zavadskas, Edmundas Kazimieras TI - Bi-objective mean–variance method based on Chebyshev inequality bounds for multi-objective stochastic problems JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2018 SP - 1201 EP - 1217 VL - 52 IS - 4-5 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ro/2018018/ DO - 10.1051/ro/2018018 LA - en ID - RO_2018__52_4-5_1201_0 ER -
%0 Journal Article %A Amoozad Mahdiraji, Hannan %A Razavi Hajiagha, Seyed Hossein %A Hashemi, Shide Sadat %A Zavadskas, Edmundas Kazimieras %T Bi-objective mean–variance method based on Chebyshev inequality bounds for multi-objective stochastic problems %J RAIRO - Operations Research - Recherche Opérationnelle %D 2018 %P 1201-1217 %V 52 %N 4-5 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ro/2018018/ %R 10.1051/ro/2018018 %G en %F RO_2018__52_4-5_1201_0
Amoozad Mahdiraji, Hannan; Razavi Hajiagha, Seyed Hossein; Hashemi, Shide Sadat; Zavadskas, Edmundas Kazimieras. Bi-objective mean–variance method based on Chebyshev inequality bounds for multi-objective stochastic problems. RAIRO - Operations Research - Recherche Opérationnelle, Tome 52 (2018) no. 4-5, pp. 1201-1217. doi : 10.1051/ro/2018018. http://www.numdam.org/articles/10.1051/ro/2018018/
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