A Flowchart is a type of chart which visually shows a process, algorithm of a program or workflow. The steps / operations on flowchart are represented as boxes of various types which are connected by arrows.The Flowchart is a very popular type of diagram, it is widely used for analyzing, ...
The Planner utilizes two contrasting search algorithms: Nora, which employs an A* algorithm favoring a breadth-first approach, and aroN, which uses Monte Carlo Tree Search (MCTS) for a depth-first exploration. This dual approach ensures a balanced exploration between experimental and exploitative str...
Then, an IFM is designed to achieve a consensus between multiple experts. In the meantime, we also find the weights of experts by using T-SF information. Furthermore, in light of the combination of IFM and T-SFWPBM operator, an MAGDM algorithm is designed. Finally, an example of supplier...
Yao29and Xu30) derived an aggregation decision matrix using the IIFWA aggregation operator of IVIFVs. When the nonmembership degree of an IVIFV is zero, the nonmembership degree of the IVIFVs aggregated by the IIFWA operator must be zero, even if the nonmembership degrees of other IVIF...
The effects of algorithm on flow conditions prediction, providing the optimal choke size to meet the set constraints and tolerance is also presented here: For further analysis on the system, performance analysis was performed using a section of the data. For this performance analysis, the size/ope...
Moreover, we investigate a new technique to solve the MCDM problem by initiating an algorithm along with flowchart on the bases of proposed operators. Further, we solve a practical example to reveal the importance of proposed AOs. Finally, we apply the existing operators on the same data to ...
In this study, we developed a new NEC prediction model using the LSTM algorithm and Focal Loss (FL) [20,21,22]. Our goal is to identify infants who will require surgical intervention for NEC and to provide an alert 1 or 2 days in advance. We also analyzed the significant features that...
algorithms. AdaBoost can boost a weak learning algorithm with an accuracy slightly better than random guessing into an arbitrarily accurate strong learning algorithm, bringing about a new method and new insights into the design of the learning algorithm [95]. Even if many base classifier instances ...
A novel dempster-shafer evidence theory (DSET)-based MCGDM algorithm with intuitionistic linguistic data was given by28. In view of the significance and the ordered position of the input arguments, Chen et al.29 defined an intuitionistic linguistic hybrid weighted logarithmic averaging distance (ILH...
7 incorporated the “genetic algorithm (GA)”-based framework for assessing suitable location of construction waste recycling plant opening. In that study, the authors firstly used GA for getting the fundamental concepts for determining the optimum result. Kumar et al.60 used a collective tool by ...