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Author:   Zengchang Qin ,  Van-Nam Huynh
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2013 ed.
Volume:   8032
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642395147

ISBN 10:   3642395147
Pages:   219
Publication Date:   02 July 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Robot Reasoning Using First Order Bayesian Networks.- Dempster-Shafer Theory with Smoothness.- A Probabilistic Model for Prioritizing Engineering Design Requirements in Uncertain QFD.- Applying OWA Operator to Model Group Behaviors in Uncertain QFD.- New Propagation Algorithm in Dynamic Directed Evidential Networks with Conditional Belief Functions.- Evidential Grammars for Image Interpretation – Application to Multimodal Traffic Scene Understanding.- Generic Discounting Evaluation Approach for Urban Image Classification.- Spatial Weighting for Bag-of-Features Based Image Retrieval.- A Random Set and Rule-Based Regression Model Incorporating Image Labels.- Mining Statistically Significant Target mRNA Association Rules Based on microRNA.- Interval Algorithm for Set-Membership Identification of MIMO LTI System.- An Approach for Obtaining Bargaining Set in Multi-choice Games.- An Optimized Method for Selection of the Initial Centers of K-Means Clustering.- Improving Short Text Classification UsingPublic Search Engines.- Using Social Networks for Integrating a Tacit Knowledge Repository to Support the Performance of Software Development Teams.- Tacit Knowledge Formalization to Support the Adoption Process of Software Quality Models.- Design and Implementation of an Office Automation Assistant Utility Using Adobe AIR Technology.- Modified NFTSM on State in Switched Reluctance Motor Speed Controller.- Uncertain Nonlinear System Modeling and Identification Using Belief Rule-Based Systems.

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