Results 21 to 30 of about 31,702 (261)
A novel mathematical approach for fuzzy multi-period multi-objective portfolio optimization problem under uncertain environment and practical constraints [PDF]
Investment Portfolio Optimization (IPO) is one of the most important problems in the financial area. Also, one of the most important features of financial markets is their embedded uncertainty.
Pejman Peykani +4 more
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New Class of Preinvex Fuzzy Mappings and Related Inequalities
This study aims to consider new kinds of generalized convex fuzzy mappings (convex-𝘍𝘔), which are called strongly α-preinvex fuzzy mappings. We investigated the characterization of preinvex-𝘍𝘔s using α-preinvex-𝘍𝘔s, which can be viewed as a novel and ...
Muhammad Bilal Khan +3 more
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Pentapartitioned Neutrosophic Fuzzy Optimization Method for Multi-objective Reliability Optimization Problem [PDF]
Fuzzy logic is an important mathematical tool that deals with uncertainty and imprecision in decision-making processes. The prevalent frameworks, known as neutrosophic sets, study the connection of neutralities with various ideational spectra in addition
Swarup Jana, Sahidul Islam
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Spinning reserve allocation is a critical problem for active power dispatch with large-scale wind power penetration. A risk-based reserve allocation method that accounts multiple control sub-area coordination is given in this paper. And a multi-objective
Qinglai Guo +4 more
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Logistics Transportation Time Optimization Based on Fuzzy Particle Swarm Optimization [PDF]
The fuzzy particle swarm optimization (FPSO-RRB- algorithm is used to solve the logistics transportation time optimization problem, a three-dimensional particle coding method based on receiving point, particle position sequence and particle position ...
Zhang Bingqing
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Backfill is a very important technology that can be used to reduce the environmental footprints resulting from coal mining. The selection of proper filling materials is of great significance to the operation cost and the stability of the goaf. This paper
Fengmei Lian, Jiaxu Jin, Jihe Zhao
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This paper applies double-uncertainty optimization theory to the operation of AC/DC hybrid microgrids to deal with uncertainties caused by a high proportion of intermittent energy sources.
Peng LI +3 more
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Balancing Cost and Demand in Electricity Access Projects: Case Studies in Ecuador, Mexico and Peru
Rural areas in developing countries have the highest concentrations of unelectrified communities. There is a clear link between electricity consumption and the Human Development Index, as highlighted by the 7th Development Goal of the United Nations ...
Rosa Galleguillos-Pozo +3 more
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OPTIMIZATION ISSUES FOR FUZZY MEASURES
In this paper, we address the problem of identification of fuzzy measures through different representations, namely the Möbius, the Shapley and the Banzhaf interaction representations. In the first part of the paper, we recall the main results concerning these representations, and give a simple algorithm to compute them.
Pedro Miranda 0002, Michel Grabisch
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Genetic optimization of fuzzy networks
A novel fuzzy network controller is introduced which is interesting from both a theoretical and a practical viewpoint. It is similar to a radial basis function neural network, contains structured information and may be characterized by a few parameters only. For training of these networks with experiments or by examples, a nonstandard genetic algorithm
Hanebeck, Uwe D., Schmidt, Günther
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