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Decision tree model

About: Decision tree model is a research topic. Over the lifetime, 2256 publications have been published within this topic receiving 38142 citations.


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Patent
26 Oct 2016
TL;DR: In this article, a decision tree classification and fault code classification-based vehicle remote diagnosis and spare part retrieval method is proposed. But the main objective of the method is to realize exact matching of the spare parts.
Abstract: The invention relates to a decision tree classification and fault code classification-based vehicle remote diagnosis and spare part retrieval method and belongs to the information retrieval field. Since the branch group numbers of different spare parts are still different even under a condition that main group numbers of the spare parts are identical, the objective of the invention is to realize exact matching of the spare parts. According to the technical schemes of the invention, fault codes are identified and classified; vehicle VIN codes are analyzed, so that variables can be obtained, wherein the variables include engine displacement, vehicle body type and engine transmission type which are obtained through VIN code analysis; decision tree analysis is carried out on spare part codes corresponding to the variables, variable data classification is completed, and spare part information is formed, indexes are established, and a diagnosis knowledge library is formed; a linguistic model is created, a cell word library is built, word switched retrieval is carried out on cell words are in the cell word library, and the cell words are arranged, a diagnosis database of work items corresponding to the fault codes is formed through the decision classification of a decision tree model; and the diagnosis database is associated with the diagnosis knowledge library, primary keys are built. With the method and device of the invention adopted, after the fault codes are obtained, solutions of common faults and corresponding spare parts and work items can be found out fast.

3 citations

Journal ArticleDOI
TL;DR: In this article, a decision tree model for addressing cross-cultural ethical conflicts is described, which is intended to provide an ethically sound yet pragmatic tool for decision makers facing such situations.
Abstract: The authors have previously developed and described a decision tree model for addressing cross-cultural ethical conflicts. The model is intended to provide an ethically sound yet pragmatic tool for decision makers facing such situations. This paper presents the results of an empirical test of the model in an educational setting with a sample of business students. Students trained to use the model demonstrated significantly more flexibility and appropriateness in their decisions on case scenarios than those who were not trained. The implications for use of the model in educational settings and recommendations for future research are discussed.

3 citations

Proceedings ArticleDOI
28 Jun 2009
TL;DR: Both the objective and the subject evaluations reach a consistent conclusion; namely, the newly proposed densitybased simplification technique offers the best results.
Abstract: The effectiveness of 3D tree model simplification techniques and their objective and subjective performance evaluations are examined in this work. The simplification techniques developed in [1, 2] were based on pixel-based metrics, which did not consider the tree model's leaf density. For performance improvement, we perform simplification based on the tree leaf density of rendered images viewed from multiple angles. Furthermore, objective performance analysis is conducted to evaluate how well different algorithms are able to simplify tree models that appear as close to the original tree model with a given budget on the number of tree leaves in the model. To this end, a performance metric based on the Gabor filter is developed to analyze the orientation and spatial relationship within the rendered tree models. Finally, subjective evaluation is conducted by a group of 23 people. Both the objective and the subject evaluations reach a consistent conclusion; namely, the newly proposed densitybased simplification technique offers the best results.

3 citations

Book ChapterDOI
01 Jan 2007
TL;DR: A hybrid decision tree (HDT) model is proposed by introducing credibility entropy into FDT to decrease the cost of preprocess and tree-constructing significantly and is applied into geology field to find out the factors which cause landslide.
Abstract: Decision-Tree (DT) is a widely-used approach to retrieve new interesting knowledge. Fuzzy decision trees (FDT) can handle symbolic domains flexibly, but its preprocess and tree-constructing are much costly. In this paper, we propose a hybrid decision tree (HDT) model by introducing credibility entropy into FDT. Entropy of multi-valued and continuous-valued attributes are both calculated with credibility theory, while entropy of other attributes is dealt with general Shannon method. HDT can decrease the cost of preprocess and tree-constructing significantly. We apply the model into geology field to find out the factors which cause landslide. Experiment results show that the proposed model is more effective and efficient than fuzzy decision tree and C4.5.

3 citations

Journal Article
TL;DR: Experiments show that the proposed method could simulate tree with a lot of patterns, and make the tree more realistic.
Abstract: To decrease the simulation difficulty of the irregular nature scenery such as the tree, a simulation method of real tree based on L system is constructed. To overcome shortcomings of the reality of tree simulation, four upswing methods are proposed. On the basis of the basic algorithm of L system, 3D tree model is constructed. The randomicity is used to make tree generate a variety of patterns, and the shape of tree is simulated under the influence of wind, then it takes advantage of LOD and shadow to enhance the reality of the sense. Experiments show that the proposed method could simulate tree with a lot of patterns, and make the tree more realistic.

3 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202310
202224
2021101
2020163
2019158
2018121