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A novel implicit decision variable classification approach for high-dimensional robust multi-objective optimization in order scheduling
This paper efficiently addresses the high-dimensional robust order scheduling problem. A novel algorithm named dynamic cooperative coevolution based...
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Decision variable contribution based adaptive mechanism for evolutionary multi-objective cloud workflow scheduling
Workflow scheduling is vital to simultaneously minimize execution cost and makespan for cloud platforms since data dependencies among large-scale...
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A machine learning approach based on decision tree algorithm for classification of transient events in microgrid
The microgrid technology must be conforming in electrical power system to cater the expanding development in power demand in the present scenario,...
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Topic Classification Using Regularized Variable-Size CNN and Dynamic BPSO in Online Social Network
Topic classification is an important problem in an online social network (OSN). Many recent works on convolutional neural network (CNN) machine...
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A novel granular variable precision fuzzy rough set model and its application in fuzzy decision system
The comparable property (or inclusion property) is the basic property of rough set theory. Unfortunately, the well-known granular variable precision...
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Using Decision Risk and Decision Accuracy Metrics for Decision Making for Remote Sensing and GIS Applications
A confusion matrix or error matrix or contingency table is the most widely used evaluation technique for assessing the difference in actuals with the...
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Performance evaluation of lung sounds classification using deep learning under variable parameters
It is desired to apply deep learning models (DLMs) to assist physicians in distinguishing abnormal/normal lung sounds as quickly as possible. The...
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Assessing decision boundaries under uncertainty
In order to make design decisions, engineers may seek to identify regions of the design domain that are acceptable in a computationally efficient...
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Classification Performance Analysis of CART and ID3 Decision Tree Classifiers on Remotely Sensed Data
Classification is one of the most commonly employed techniques in remote sensing studies. The thematic maps generated by the RS data classification...
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Evaluation of Multimedia Learning Resource Classification Retrieval Based on Decision Tree Hashing Algorithm
Current classification and retrieval methods are affected by the amount of data in the classification of multimedia learning resources, and there are...
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Classification
In this chapter, we discuss classification methods. We start by clarifying what a classification means and what type of data are needed. Then, we...
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A Binary Risk Linguistic Fuzzy Behavioral TOPSIS Model for Multi-attribute Large-Scale Group Decision-Making Based on Risk Preference Classification and Adaptive Weight Updating
In practical decision-making, linguistic term set is a useful tool to describe the uncertainty and fuzziness of data sources. However, in some...
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Application of Decision Tree Algorithm for the Classification Problem in Bank Telemarketing
This paper describes the application of the Classification and Regression Tree (CART) for a data mining problem in bank telemarketing. Tasks of...
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Uncovering Anime Insights: Enhancing Classification Models Through Decision Trees and TF-IDF Embeddings
Having a clear understanding of future trends is essential for producers in the animation industry to navigate effectively, as it can impact various...
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Fast CU size decision and intra-prediction mode decision method for H.266/VVC
H.266/Versatile Video Coding (VVC) is the most recent video coding standard developed by the Joint Video Experts Team (JVET). The quad-tree with...
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A Tailored Complex Medical Decision Analysis Model for Diabetic Retinopathy Classification Based on Optimized Un-Supervised Feature Learning Approach
Diabetic Retinopathy has become a major medical concern all over the world. The only way to reduce the chances of vision loss due to diabetic...
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Multi-scale patch fuzzy decision for face recognition with category information
Small size sample face recognition is one of the most challenging problems in image classification. Multi-scale patch collaborative representation is...
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A Blind Modulation Classification Method Based on Decision Tree and High Order Cumulants
The classification of modulation schemes will be widely used in future communication systems, among which the classification accuracy and speed of...
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Fault diagnosis of belt conveyor idlers based on gradient boosting decision tree
Maintenance planning and control should prioritize predictive techniques (e.g., vibration analysis on critical components such as belt conveyors and...
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Development of a Decision Support System for Helpdesk-Service Based on the Processor for Natural Language Text Classification
Text is one of the most common sources of information. Due to this, there is an urgent need for automated processing of text data. In vast majority...