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A many-objective multistage optimization-based fuzzy decision-making model for coal production prediction
X Cai, J Zhang, Z Ning, Z Cui… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The traditional coal energy system cannot meet the requirements of modern industrial
production for sustainable development because extensive economic growth has caused …
production for sustainable development because extensive economic growth has caused …
Building intelligent moving average-based stock trading system using metaheuristic algorithms
Many studies have been proposed to prove that technical analysis can help investors make
trading decisions. The moving average (MA) is a widely used technical indicator that plays …
trading decisions. The moving average (MA) is a widely used technical indicator that plays …
[HTML][HTML] Multi-period portfolio selection with mental accounts and realistic constraints based on uncertainty theory
This paper discusses an uncertain multi-period portfolio selection problem in the situation
where the future security return rates are given by experts' estimations instead of historical …
where the future security return rates are given by experts' estimations instead of historical …
Cross-validation for the uncertain Chapman-Richards growth model with imprecise observations
Z Liu, L Jia - International Journal of Uncertainty, Fuzziness and …, 2020 - World Scientific
Regression analysis estimates the relationships among variables which has been widely
used in growth curves, and cross-validation as a model selection method assesses the …
used in growth curves, and cross-validation as a model selection method assesses the …
Portfolio optimization with mental accounts under uncertain random environment and butterfly optimization algorithm with adaptive strategies
B Li, Y Huang - Applied Soft Computing, 2024 - Elsevier
In complex security markets, uncertainty and randomness may coexist. The investors hold
different risk attitudes toward different investment objectives in reality. In order to reflect this …
different risk attitudes toward different investment objectives in reality. In order to reflect this …
A multi-objective portfolio selection model with fuzzy value-at-risk ratio
B Wang, Y Li, S Wang, J Watada - IEEE Transactions on Fuzzy …, 2018 - ieeexplore.ieee.org
Considering nonstatistical uncertainties and/or insufficient historical data in security return
forecasts, fuzzy set theory has been applied in the past decades to build portfolio selection …
forecasts, fuzzy set theory has been applied in the past decades to build portfolio selection …
Uncertain programming models for multi-objective shortest path problem with uncertain parameters
S Majumder, MB Kar, S Kar, T Pal - Soft Computing, 2020 - Springer
The shortest path problem is considered as one of the essential problems in network
optimization with a wide range of real-world applications. Modelling such real-world …
optimization with a wide range of real-world applications. Modelling such real-world …
Portfolio optimization using elliptic entropy and semi-entropy of coherent fuzzy numbers
P Gupta - Information Sciences, 2022 - Elsevier
This paper explores the elliptic entropy and the elliptic semi-entropy of a coherent fuzzy
number and discusses several of their properties. We propose a methodology that …
number and discusses several of their properties. We propose a methodology that …
Collaborative product portfolio design based on the approach of multichoice goal programming
SY Wang, WM Chen, Y Liu - Mathematical Problems in …, 2021 - Wiley Online Library
Product portfolio optimization is a typical multiobjective problem. The multichoice goal
programming method becomes a popular means of resolving multiobjective decision …
programming method becomes a popular means of resolving multiobjective decision …
Uncertain multi-objective Chinese postman problem
S Majumder, S Kar, T Pal - Soft Computing, 2019 - Springer
Chinese postman problem is one of the significant combinatorial optimization problems with
a wide range of real-world applications. Modelling such real-world applications quite often …
a wide range of real-world applications. Modelling such real-world applications quite often …