Results 1 to 10 of about 77,146 (265)
BCJ numerators from differential operator of multidimensional residue
In previous works, we devised a differential operator for evaluating typical integrals appearing in the Cachazo–He–Yuan (CHY) forms and in this paper we further streamline this method.
Gang Chen, Tianheng Wang
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A New Method to Identify Incomplete Frame of Discernment in Evidence Theory
One assumption of Dempster-Shafer evidence theory (D-S theory) is the closed world. However, how to determine whether the frame of discernment is incomplete or not is still an open issue.
Renliang Sun, Yong Deng
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Data mining of the GAW14 simulated data using rough set theory and tree-based methods [PDF]
Abstract Rough set theory and decision trees are data mining methods used for dealing with vagueness and uncertainty. They have been utilized to unearth hidden patterns in complicated datasets collected for industrial processes. The Genetic Analysis Workshop 14 simulated data were generated using a system that implemented multiple ...
Wei, Liang-Ying +2 more
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Event Tree Analysis of Xinda Oil Pipeline Leakage Based on Fuzzy Set Theory [PDF]
Event tree is a logical analysis of probability for outcome events by initiating event and probable subsequent events. However, the evaluation of every single event may contain vague information or cannot be described by a crisp number of probabilities in application.
Di Wang, Enbin Liu, Liyu Huang
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Tree-thinking is a fundamental skill set for understanding evolutionary theory and, thus, part of biological and scientific literacy. Research on this topic is mostly directed towards tree-reading—the umbrella-term for all skills enabling a person to ...
Steven Tyrrell, Philipp Schmiemann
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Unbalanced Data Classification Based on Hesitant Fuzzy Decision Tree [PDF]
In order to optimize the classification effect of unbalanced data,an improved fuzzy decision tree algorithm is proposed combining the hesitant fuzzy set theory and the decision tree algorithm.The unbalanced data is oversampled by the SMOTE algorithm,the ...
ZHANG Xu, ZHOU Xinzhi, ZHAO Chengping, SHAO Lun
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The research of fuzzy decision trees building based on entropy and the theory of fuzzy sets
Decision trees are widely used in the field of machine learning and artificial intelligence. Such popularity is due to the fact that with the help of decision trees graphic models, text rules can be built and they are easily understood by the final user.
Samal Begenova, Tatiana Avdeenko
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The compatibility law of prescriptions is the core link of TCM theory of “theory, method, prescription and medicine,” which is of great significance for guiding clinical practice, new drug development and revealing the scientific connotation of TCM ...
Shuchun Zhou
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From Proof Nets to the Free *-Autonomous Category [PDF]
In the first part of this paper we present a theory of proof nets for full multiplicative linear logic, including the two units. It naturally extends the well-known theory of unit-free multiplicative proof nets.
Francois Lamarche, Lutz Strassburger
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Granulation Using Clustering And Rough Set Theory And Its Tree Representation
Granular computing deals with representation of information in the form of some aggregates and related methods for transformation and analysis for problem solving. A granulation scheme based on clustering and Rough Set Theory is presented with focus on structured conceptualization of information has been presented in this paper.
Girish Kumar Singh, Sonajharia Minz
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