Results 1 to 10 of about 77,925 (264)
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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Uncertainty-Aware Dynamic Reliability Analysis Framework for Complex Systems
Critical technological systems exhibit complex dynamic characteristics such as time-dependent behavior, functional dependencies among events, sequencing and priority of causes that may alter the effects of failure.
Sohag Kabir +3 more
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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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A Decision Tree Algorithm Based on Rough Set Theory after Dimensionality Reduction
Decision tree technology has proven to be a valuable way of capturing human decision making within a computer. As ID3 select those attribute as splitting attributes which have different values whether it classify dataset properly or not. There is another drawback of ID3 which repeat sub tree many times and select same attribute many times.
Manisha Tantuway +1 more
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INTERVAL ANALYSIS METHOD OF RELIABILITY PREDICTION ON AUTOMOTIVE BRAKE SYSTEM AND TIRE
Fault tree of automotive brake system and tire were set up according to their typical failure modes. We use the likelihood function and belief function of D-S theory respectively as the fault tree to analyze the upper and lower bounds of bottom event ...
JIA AiQin, WEI YongQiang, JIANG ZhiQiang
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Automata Approach to XML Data Indexing
The internal structure of XML documents can be viewed as a tree. Trees are among the fundamental and well-studied data structures in computer science. They express a hierarchical structure and are widely used in many applications.
Eliška Šestáková, Jan Janoušek
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Rule Generation Based on Novel Kernel Intuitionistic Fuzzy Rough Set Model
This paper develops a novel kernel intuitionistic fuzzy rough set (KIFRS) model as a hybrid model to improve the effects of rule generation based on rough sets.
Kuo-Ping Lin +2 more
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Enhancing the Color Set Partitioning in Hierarchical Tree (SPIHT) Algorithm Using Correlation Theory [PDF]
Problem statement: Efficient color image compression algorithm is essential for mass storage and the transmission of the image. The compression efficiency of the Set Partitioning in Hierarchical Tree (SPIHT) coding algorithm for color images is improved by using correlation theory.
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On the basis of fault tree analysis of grinding wheel spindle rotation system,the set pair analysis theory considering the uncertain work state of random,mediation and unknown etc is injected,then the set pair-fault tree model combination of these two ...
刘英, 陈志恒, 陈宇
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Unifying relations for scattering amplitudes
We derive new amplitudes relations revealing a hidden unity among a wideranging variety of theories in arbitrary spacetime dimensions. Our results rely on a set of Lorentz invariant differential operators which transmute physical tree-level scattering ...
Clifford Cheung +2 more
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