current evaluation information relies mainly on the a priori knowledge of decision makers and is subjective and ambiguous. For this reason, a conceptual design solution decision model based on Pythagorean fuzzy sets in a big data environment is proposed. Firstly, we use the ability of big ...
Extending the application of fuzzy COPRAS to optimal product design O.M Olabanji, K Mpofu Pages 182-192 View PDF Article preview select article Geometric Basics and Calculation Methods for the Design of a Technical Saddle Joint based on Owl Neck Vertebrae Research articleOpen access Geometric Basics...
We have designed a robust Gazebo simulation stack using ROS, Python, and C++ architecture. Using our developed simulation package, an accurate result has been achieved for the navigation of the autonomous vehicle, which can also be scaled for future prospects. The remainder of the paper is ...
In these systems, a linguistic control strat- egy based on expert knowledge can be converted into an automatic control strategy on the basis of fuzzy rules. A fuzzy control rule is a conditional statement in which the antecedent is a condition in its application domain, the consequent is a ...
The fuzzy-based intrusion detection technique uses MPNN, which consists of BPNN and FFNN for anomaly and misuse detection, as shown in Figure 5. It is applied for the highest detection rate using supervising learning technique. The fuzzy base AHIDS with FFNN and BPNN achieves greater attack dete...
differentiable chemical space representation for various species; thus, it would allow direct optimization of properties using gradient-based methods. Here, machine learning (ML) algorithms, such as deep learning (DL)-based models, have a substantial advantage over other methods for inverse fuel ...
Supervised Learning involves the learning of a function that can map inputs to outputs based on a set of input-output examples. Each example consists of an input object, typically represented as a vector, and its corresponding desired output value. By examining the training data, algorithms ...
To the dismay of some project managers, the design process doesn’t fit neatly into the rigid borders of Excel spreadsheets and Gantt charts. True collaboration between disciplines is fuzzy and chaotic, and that’s not a bad thing.Constant communication, tight feedback loops, and true collaborati...
based systems, each with its own student identification for giving credits and collecting log data. As a consequence, using more than one kind of smart learning content is rarely possible, due to overhead for both teachers and students caused by adopting and using several systems in the context...
(SMFC). It combines sliding mode control and fuzzy logic control to create a robust, easy on-line tunable controller structure. A formal proof of the robustness of the proposed nonlinear sliding mode control is also given. A pitch and a heading controller have been designed with the presented...