Integrated Uncertainty in Knowledge Modelling and Decision Making

This book constitutes the refereed proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modeling and Decision Making, IUKM 2013, held in Beijing China, in July 2013. The 19 revised full papers were carefully reviewed and selected from 49 submissions and are presented together with keynote and invited talks. The papers provide a wealth of new ideas and report both theoretical and applied research on integrated uncertainty modeling and management.

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Inhalt

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.