TY - JOUR
T1 - Fuzzy multi-objective programming
T2 - A systematic literature review
AU - Karimi, Negar
AU - Feylizadeh, Mohammad Reza
AU - Govindan, Kannan
AU - Bagherpour, Morteza
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/6/15
Y1 - 2022/6/15
N2 - Multi-objective programming is commonly used in the literature when conflicted objectives arise in solving optimization problems. Over the past decades, classical optimization methods have been developed as useful tools to discover optimal solutions for multi-objective problems (MOPs). In recent years, under uncertainty, multi-objective Optimization (MOO) has received much attention due to its practical applications in real-world problems. However, many studies have been conducted on this matter. Some of which ignored the effects of uncertainty on optimization problems. This paper systematically reviews and summarizes various multi-objective methods applied to the problems with more than one objective in uncertain environments where uncertainty is expressed using fuzzy sets. In this paper, 439 articles on fuzzy multi-objective programming published from 1978 to 2021 are reviewed using corresponding texts, charts, and tables. Finally, the basic features of MOO are briefly presented, along with a prologue of MOO techniques and current trends. Recommendations for further research are also is provided.
AB - Multi-objective programming is commonly used in the literature when conflicted objectives arise in solving optimization problems. Over the past decades, classical optimization methods have been developed as useful tools to discover optimal solutions for multi-objective problems (MOPs). In recent years, under uncertainty, multi-objective Optimization (MOO) has received much attention due to its practical applications in real-world problems. However, many studies have been conducted on this matter. Some of which ignored the effects of uncertainty on optimization problems. This paper systematically reviews and summarizes various multi-objective methods applied to the problems with more than one objective in uncertain environments where uncertainty is expressed using fuzzy sets. In this paper, 439 articles on fuzzy multi-objective programming published from 1978 to 2021 are reviewed using corresponding texts, charts, and tables. Finally, the basic features of MOO are briefly presented, along with a prologue of MOO techniques and current trends. Recommendations for further research are also is provided.
KW - Asystematic literature review
KW - Fuzzy environment
KW - Fuzzy multi-objective programming
KW - Multi-objective optimization methods
U2 - 10.1016/j.eswa.2022.116663
DO - 10.1016/j.eswa.2022.116663
M3 - Journal article
AN - SCOPUS:85124908444
SN - 0957-4174
VL - 196
JO - Expert Systems with Applications
JF - Expert Systems with Applications
M1 - 116663
ER -