Titlebook: Data Mining; Concepts, Methods an Yong Yin,Ikou Kaku,JianMing Zhu Book 2011 Springer-Verlag London Limited 2011 Data Mining.Decision Scienc

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Product Architecture and Product Development Process for Global Performance, and small size are used as examples to formalize the models and show the impact of the global performance characteristics. We also investigate how optimal architecture changes in response to the exogenous costs of system integrators. Some empirical implications obtained from this study show that if

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Decision Making with Consideration of Association in Supply Chains,iteria, which is then used to rank inventory items. Then, a numerical example is used to explain the new algorithm and empirical experiments are implemented to evaluate its effectiveness and utility, comparing with traditional ABC classification..This chapter is organized as follows. Section 12.1 in

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Applying Self-organizing Maps to Master Data Making in Automatic Exterior Inspection,s (SOM) learning algorithm and prove that such a method is effective not only in judgement accuracy but also in computational feasibility. We first apply the SOM learning algorithm to learn the image’s feature from the input of samples. Secondly, we discuss theoretically the learning parameters of S

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The Essential Self and the Life of Natureunder an uncertain business environment. The simplest decision analysis method, known as a decision tree, is interpreted. Decision tree is simple but very powerful. In the latter half of this book, we use decision tree to analyze complicated product design and supply chain design problems..Given a s

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Kubla Khan and Dejection: An Odeods of fuzzy optimization. We also attempt to give readers a clear and comprehensive understanding of knowledge, from the viewpoint of fuzzy modeling and fuzzy optimization, classification and formulation for the fuzzy optimization problems, models, and some well-known methods. The importance of int