Fuzzy Decision Tree
Fuzzy Logic Resource Manager: Evolving Fuzzy Decision Tree Structure that Adapts in Real-Time
... A fuzzy logic based algorithm for optimal allocation and scheduling of electronic attack resources distributed over many platforms is under ...four decision trees making up the resource manager are ...
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Application Fuzzy Decision Tree Analysis for Prediction Condensate Gas Ratio: Case Study
... how Fuzzy Decision Tree (FDT), which is an automatic method of generating fuzzy rules, can predict the condensate gas ratio, as a vital parameter in order to design the necessary wellhead ...
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Fuzzy Decision Tree Construction in Crisp Scenario through fuzzified Trapezoidal Membership Function
... the fuzzy decision tree techniques have their associated pros and cons ...generating fuzzy decision trees among research ...build fuzzy decision trees using some popular ...
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Real Life Applications of Fuzzy Decision Tree
... of fuzzy sets is ...cost decision trees based on new optimality ...of fuzzy decision tree: ordered tree. Ordered tree differs from unordered fuzzy decision ...
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A Fuzzy Decision Tree Model to Support the Task of Bus Reallocation in Public Transport Systems
... a fuzzy decision tree ...a decision tree, to support decisions regarding the modification of a previously planned bus ...the decision tree can be used to decide the best ...
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Data mining using intelligent systems : an optimized weighted fuzzy decision tree approach
... many decision trees that can be constructed from a given set of ...optimal tree which is more accurate than others is computationally infeasible because of the exponential size of the searching ...
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A new approach for selecting best resources nodes by using fuzzy decision tree in grid resource broker
... After that, we have activated broker provider to select only suitable nodes. Therefore, in seventh day, we have taken the below results(Table 3) from available nodes in the morning in order to execution a high ...
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A Novel Method to Build a Fuzzy Decision Tree Based On Hedge Algebras
... resulting tree depends largely on choosing attributes and dividing the samples in each ...the tree, in order to reach the tree with fewer nodes but has high predictability ...
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Development of the Effort Estimation Model Using Fuzzy Decision Tree
... Malathi S. and Sridhar S.[17] experimented their work by fuzzy based analogy techniques on three dataset name as Nasa 63, Nasa 63 and Desharnais[18]. And result comparision is done with neural network approach by ...
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The Application of Fuzzy-Rough Set Decision Tree for Credit Rating
... use decision tree methods as assessed quickly and ...the fuzzy decision tree method is better than the decision tree method that in this research method to be used is a ...
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Classification of Breast Cancer using Gini Index based Fuzzy Supervised Learning in Quest Decision Tree Algorithm
... (SLIQ) decision tree (FS-DT) algorithm” in classifying breast cancer cases, which produced finest results over techniques used beforehand in categorizing Benign and malignant breast cancer instances on ...
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Classification with an improved Decision Tree Algorithm
... the decision tree. Decision tree can handle both continuous and categorical ...through decision tree is more under stable and ...
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Generalized Interpolation in Decision Tree LM
... In the face of sparsity, statistical models are often interpolated with lower order (backoff) models, particularly in Language Modeling. In this paper, we argue that there is a rela- tion between the higher order and the ...
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Statistical Decision Tree Models for Parsing
... Evaluating SPATTER against the Penn Treebank Wall Street Journal corpus using the PARSEVAL measures, SPATTER achieves 86% precision, 86% recall, and 1.3 crossing brackets per sentence fo[r] ...
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Uncertain Decision Tree Inductive Inference
... new decision tree induction algorithm, called ...other decision tree algorithms, such as ID3 and ...in decision tree making and rule extraction from the ...constructed ...
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A Streaming Parallel Decision Tree Algorithm
... classification. Decision trees have several drawbacks, one of which is the need to sort all numerical attributes in order to decide where to split a ...when decision trees are trained on large ...
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An Analysis of Decision Tree Models for Diabetes
... generate decision tree models for classification using LAD tree, NB tree and a Genetic J48 ...The decision tree based classifier models study includes various parameters like ...
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Analysis of Banana Viruses with Decision Tree
... We have found some other research that is related to Banana streak virus, and then make clear the differences and similarities between other studies and ours in terms of method and purpose of the study. Methodical way is ...
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Decision Degree-based Decision Tree Technology for Rule Extraction
... or decision tables ...minimal decision rules to support the decision ...from decision tables by reducing boundary area in decision ...the decision table “resolution” by adding ...
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Decision making in fuzzy environment
... This paper is attended on simple method for support decision process in their fi nal stage, i.e. by selection of suitable variant, from a set acceptable variant and by using fuzzy sets. In this entry are ...
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