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Multi-criteria group decision-making based on frank aggregation operators under Pythagorean cubic fuzzy sets
Pythagorean cubic fuzzy is a relatively new improvement in the field of fuzzy set (FS) theory. It is a mathematical framework that allows...
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Improved CoCoSo Method Based on Frank Softmax Aggregation Operators for T-Spherical Fuzzy Multiple Attribute Group Decision-Making
In this article, a novel CoCoSo (Combined compromise solution) method based on Frank operational laws and softmax function is investigated to handle...
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Electrical endurance design of multi-operation isolators using semi-physical simulation via algebraic multigrid iteration
This paper presents an electrical endurance design method of multi-operation isolators using semi-physical simulation via algebraic multigrid...
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Frank Aggregation Operators and Their Application to Probabilistic Hesitant Fuzzy Multiple Attribute Decision-Making
The fuzzy aggregation information plays an important role in the group decision support system under the interval-valued hesitant fuzzy information...
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A novel reliability analysis method for a dependent system by copula model: a case study in operation tunnels maintenance
To effectively minimize structural risk and forestall the system failure, a structural performance evaluation approach based on the copula model is...
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Evaluating renewable energy projects using fuzzy bipolar soft aggregation and entropy weights
The fuzzy bipolar soft set (FBPSS) introduces a novel approach that surpasses the information capacity of conventional fuzzy soft set. The core aim...
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q-Rung orthopair fuzzy inequality derived from equality and operation
The q-rung orthopair fuzzy set is an extension of fuzzy set, whose remarkable characteristic is that the sum of q power of membership degree,...
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ℌ∞ Consensus of a Multi-agent System Using Sampled-data Based Event-triggered Mechanism
This paper proposes a ℌ ∞ consensus controller for linear multi-agent systems (MASs) with N number of agents using a sampled-data based...
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Adaptive Control of Wind Turbine Generators for Power Capture Optimization by Using Integral Backstep** Approach During Partial-Load Operation
The paper proposes an effective nonlinear integral backstep** approach strategy (IBS) through the use of a new adaptive power control algorithm for...
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Multicriteria group decision making based on projection measures on complex Pythagorean fuzzy sets
Complex Pythagoran fuzzy (C-PyF) set is an efficient tool to handle two dimensional periodic uncertain information which have various applications in...
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An Intrapulse Modulation Recognition Method for Low Probability of Interception Signals Based on the Coprime DTFrFT Spectral Receiver
Since the coprime discrete time fractional Fourier transform (DTFrFT) spectral receiver can effectively intercept low probability of interception...
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An extended MABAC method based on prospect theory with unknown weight information under Fermatean fuzzy environment for risk investment assessment in B&R
The assessment of investment risk for the countries along the route in Belt and Road (B&R) can be deemed as a multiple criteria group decision making...
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Multivariate Analysis of Wind Characteristics for Optimal Irrigation Planning in Miandoab Plain, Urmia Lake
Increases in greenhouse gas emissions have encouraged the replacement of fossil fuels with renewable energy sources. This paper investigates the...
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Study on the application of reinforcement learning in the operation optimization of HVAC system
Supervisory control can be used to optimize the HVAC system operation and achieve building energy conservation, while reinforcement learning (RL) is...
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The Origins of Wagstaff Inc.: Part 1—Two Emerging Technologies Collide
The journey from a machine shop to a position of a global leader in Direct Chill (DC) aluminum casting technology began when a distressed father with...
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Actuator-level motion and contact episode learning and classification using adaptive resonance theory
Several methods exist to detect and distinguish collisions of robotic systems with their environment, since this information is a critical dependency...
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Distributed gradient-free and projection-free algorithm for stochastic constrained optimization
Distributed stochastic zeroth-order optimization (DSZO), in which the objective function is allocated over multiple agents and the derivative of cost...
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Neural Networks
In this chapter we explore the concept of neurons and neuron models to solve real world challenges. We begin with a brief description of the...
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A distributed gradient algorithm based on randomized block-coordinate and projection-free over networks
The computational bottleneck in distributed optimization methods, which is based on projected gradient descent, is due to the computation of a full...
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High-temperature power reduction state identification for wind turbines using feature correlation analysis and deep learning methods
The excessively high temperature of gearbox oil in summer leads to power reduction of wind turbines (called high-temperature power reduction state),...
