Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; International Sympos Zengchang Qin,Van-Nam Huynh Conference proceedings

凌辱

A Probabilistic Model for Prioritizing Engineering Design Requirements in Uncertain QFD,re is used to illuminate the proposed technique and to compare with the previous techniques. This approach enhances the fuzzy-computation-based models proposed in the previous studies by eliminate the burden of quantifying qualitative concepts.

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Applying OWA Operator to Model Group Behaviors in Uncertain QFD,of different DRs in order to model the group behaviors in QFD. Finally, based on a quantifier-guided net flow score procedure, the proposed model derives a priority ranking with a classification of DRs into important and unimportant ones so as to provide a better decision-support to the decision-maker.

Statins

拥挤前

Design and Implementation of an Office Automation Assistant Utility Using Adobe AIR Technology,provided web service, the utility gets the latest information from office automation server. Additionally, HTTP service is employed for providing auto update capability. Moreover, memory optimization is considered in the design and implementation.

冬眠

Spatial Weighting for Bag-of-Features Based Image Retrieval,egorization. Three approaches to measure the spatial information, local variance, local entropy and adjacent blocks distance are extensively studied, respectively. Experimental results show that SWBOF significantly improves the performance of the traditional BOF method, and achieves the best performance on the Corel database to our best knowledge.

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刺穿

New Propagation Algorithm in Dynamic Directed Evidential Networks with Conditional Belief Functionsrk and dynamic possibilistic network, this framework enables to reason under uncertainty expressed in the belief function formalism. In this paper, we propose a new propagation algorithm in DDEVNs based on a new computational structure, namely the mixed binary join tree, which is appropriate for making the exact inference in these networks.

Peristalsis

Engulf

Mining Statistically Significant Target mRNA Association Rules Based on microRNA,ly related mRNAs and their regulation direction based on their relation with miRNAs. Our research can further the understanding about miRNA and mRNA. Our results uncover the novel mRNA association patterns, which could not only help to construct the biological network, but also extend the application of association rule mining in bioinformatics.

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