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Integrated Uncertainty in Knowledge Modelling and Decision Making

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Cover of 'Integrated Uncertainty in Knowledge Modelling and Decision Making'

Table of Contents

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    Book Overview
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    Chapter 1 Talking with Uncertainty
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    Chapter 2 Introduction to the ER Rule for Evidence Combination
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    Chapter 3 Theories and Approaches to Treat Incomparability
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    Chapter 4 Knowledge Science – Modeling the Knowledge Creation Process
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    Chapter 5 Two Classes of Algorithms for Data Clustering
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    Chapter 6 Fusing Conceptual Graphs and Fuzzy Logic: Towards the Structure and Expressiveness of Natural Language
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    Chapter 7 A MMORPG Decision-Making Model Based on Persuasive Reciprocity
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    Chapter 8 A Computing with Words Based Approach to Multicriteria Energy Planning
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    Chapter 9 Bipolar Semantic Cells: An Interval Model for Linguistic Labels
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    Chapter 10 A Fuzzy Rule-Based Classification System Using Interval Type-2 Fuzzy Sets
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    Chapter 11 Rough Approximations in General Approximation Spaces
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    Chapter 12 Multi-agents and Non-classical Logic Systems
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    Chapter 13 An Information Processing Model for Emotional Agents Based on the OCC Model and the Mood Congruent Effect
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    Chapter 14 On Distributive Equations of Implications and Contrapositive Symmetry Equations of Implications Based on a Continuous t -Norm
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    Chapter 15 A Novel Cultural Algorithm Based on Differential Evolution for Hybrid Flow Shop Scheduling Problems with Fuzzy Processing Time
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    Chapter 16 An Over-Relaxed ( A , η , m )-Proximal Point Algorithm for System of Nonlinear Fuzzy-Set Valued Operator Equation Frameworks and Fixed Point Problems
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    Chapter 17 Reliability-Based Route Optimization of a Transportation Network with Random Arc Capacities and Time Threshold
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    Chapter 18 Modeling Multilocation Transshipment with Application of Stochastic Programming Approach
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    Chapter 19 Identifying a Non-normal Evolving Stochastic Process Based upon the Genetic Methods
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    Chapter 20 Clustering Based Bagging Algorithm on Imbalanced Data Sets
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    Chapter 21 Agglomerative Hierarchical Clustering Using Asymmetric Similarity Based on a Bag Model and Application to Information on the Web
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    Chapter 22 Applying Agglomerative Fuzzy K-Means to Reduce the Cost of Telephone Marketing
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    Chapter 23 Kansei Information Transfer Technology
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    Chapter 24 Combining Binary Classifiers with Imprecise Probabilities
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    Chapter 25 Applying Hierarchical Information with Learning Approach for Activity Recognition
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    Chapter 26 Querying in Spaces of Music Information
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    Chapter 27 Automatic Music Transcription: An Experiment with Simple Tools
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Integrated Uncertainty in Knowledge Modelling and Decision Making
Published by
Springer Berlin Heidelberg, October 2011
DOI 10.1007/978-3-642-24918-1
978-3-64-224917-4, 978-3-64-224918-1

Tang, Yongchuan, Huynh, Van-Nam, Lawry, Jonathan

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 34%
Student > Master 8 12%
Researcher 6 9%
Student > Doctoral Student 6 9%
Student > Postgraduate 5 7%
Other 12 18%
Unknown 8 12%
Readers by discipline Count As %
Computer Science 25 37%
Engineering 6 9%
Mathematics 5 7%
Business, Management and Accounting 4 6%
Social Sciences 3 4%
Other 11 16%
Unknown 14 21%