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, ...
Well, we will not going to write an algorithm actually but we will just to make a flowchart. So I wrote it like that Mark44 said: In an algorithm (or code) you should never "goto" the next step since that's what would happen anyway. I see your point. But also I sh...
[37] used an integrated MCDM using IVPFS. A new DM idea based on IVPFS was studied by combining DEMATEL, ANP, and TOPSIS methods. The numerical example values in our current study were calculated using the IVPFS-MCDM algorithm. The results obtained with IVPFS-MCDM are close to the ...
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 ...
Otherwise, the algorithm performs a series of operations to optimize the objective function. This manuscript defines AvgP@10+AvgnDCG as the objective function and employs the dataset of the 2017 Precision Medicine as the training dataset to optimize the parameters. Figure 5 presents the flowchart of...
An algorithm for the Use of Embolic Protection during atherectomy for femoral popliteal lesions. JACC Cardiovasc Interv. 2017;10(4):403–10. Article PubMed Google Scholar Kan WC, Kuo SC, Chien TW, Lin JJ, Yeh YT, Chou W, et al. Therapeutic duplication in Taiwan hospitals for patients...
Flowchart of the algorithm for the MADM. Full size image Algorithm for CDPNIV Step-1: Enter the decision values for CDPNIVS. Step-2: To determine the normalized decision values, we will use the following formula. The decision matrix D=(Z^kj)m×p is normalized into D→=(Zkj⏞)m×p;...
Logistic regression is a supervised machine learning algorithm mainly used for classification tasks where the goal is to predict the probability that an instance of belonging to a given class or not. It is a kind of statistical algorithm, which analyzes the relationship between a set of independent...
Algorithm 1Decision assisted system based on rough approximation of FHS The flowchart of the proposed algorithm is presented in Fig.1. Fig. 1 Flowchart of proposed algorithm Full size image Mechanism for obtaining raw data The parameters and their corresponding sub-parametric values play a crucial ...
ACO is a probabilistic method that can efficiently solve computational problems, expressed as finding good paths through graphs. An ACO algorithm imitates the foraging behavior of the ants by optimizing the graph on the pheromone trail on the edges. In the area related to neural networks, ACO is...