A Brief Introduction to Fuzzy Optimization and Fuzzy Mathematical Programming

Author(s):  
Amarpreet Kaur ◽  
Janusz Kacprzyk ◽  
Amit Kumar
2014 ◽  
Vol 13 (01) ◽  
pp. 101-135 ◽  
Author(s):  
MUKESH KUMAR MEHLAWAT ◽  
PANKAJ GUPTA

In this paper, we develop a hybrid bi-objective credibility-based fuzzy mathematical programming model for portfolio selection under fuzzy environment. To deal with imprecise parameters, we use a hybrid credibility-based approach that combines the expected value and chance constrained programming techniques. The model simultaneously maximizes the portfolio return and minimizes the portfolio risk. We also consider an additional important criterion, namely, portfolio liquidity as a constraint in the model to make it better suited for practical applications. The proposed fuzzy optimization model is solved using a two-phase approach. An empirical study is included to demonstrate applicability of the proposed model and the solution approach in real-world applications of portfolio selection.


Energy ◽  
2021 ◽  
pp. 120639
Author(s):  
R. Galleguillos-Pozo ◽  
B. Domenech ◽  
L. Ferrer-Martí ◽  
R. Pastor

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