Titlebook: Intelligent Decision Technologies; Proceedings of the 3 Junzo Watada,Gloria Phillips-Wren,Robert J. Howlet Conference proceedings 2011 The

祖传财产

小鹿

Afflict

大方一点

Biomass Estimation for an Anaerobic Bioprocess Using Interval Observertep mass balance model is presented. Due the fact that we don’t know the influent substrate, as quantity or shape, but we know its upper and lower limit, we can estimate the quantity of biomass only by using an interval observer. As we know, this two step model has incorporated electrochemical equil

打火石

Building Multi-Attribute Decision Model Based on , Information in Environment with Hybrid Uncertaintndom variable is explained to deal with the models in hybrid uncertain environment. Second, using fuzzy random variables, linear regression model (FRRM) is formulated. Third, multi-attribute decision model (MADM) is built based on linear regression model. Finally, multi-attribute decision model is p

V洗浴

Building on the Synergy of Machine and Human Reasoning to Tackle Data-Intensive Collaboration and Deettings. The proposed approach exploits and builds on the most prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze and aggregate data existing in diverse, extremely large and rapidly evolving sources. It can be viewed as an innovative

cortisol

Derivations of Information Technology Strategies for Enabling the Cloud Based Banking Service by a Hn be used to enhance the operation efficiency and reduce the operating cost concurrently for firms in general and financial institutes in special. Albeit the cloud computing seems attractive to banking services from the aspects of cost minimization, service value maximization, and thus, competitive

stress-test

Difficulty Estimator for Converting Natural Language into First Order Logicper, we present a difficulty estimating expert system that determines the difficulty level of a sentence’s conversion process. Our approach is based on the complexity of the corresponding FOL formula instead of the NL sentence itself. Parameters like the number, the type and the order of quantifiers

POLYP

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