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Modeling Decisions for Artificial Intelligence

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Cover of 'Modeling Decisions for Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Aggregation Operators to Support Collective Reasoning
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    Chapter 2 Fundamentals of Risk Measurement and Aggregation for Insurance Applications
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    Chapter 3 Privacy in Bitcoin Transactions: New Challenges from Blockchain Scalability Solutions
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    Chapter 4 On k –additive Aggregation Functions
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    Chapter 5 A Representative in Group Decision by Means of the Extended Set of Hesitant Fuzzy Linguistic Term Sets
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    Chapter 6 Suitable Aggregation Operator for a Realistic Supplier Selection Model Based on Risk Preference of Decision Maker
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    Chapter 7 Weighted Quasi-Arithmetic Means on Two-Dimensional Regions: An Independent Case
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    Chapter 8 Axiomatisation of Discrete Fuzzy Integrals with Respect to Possibility and Necessity Measures
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    Chapter 9 An Equivalent Definition of Pan-Integral
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    Chapter 10 Monotonicity and Symmetry of IFPD Bayesian Confirmation Measures
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    Chapter 11 About the Use of Admissible Order for Defining Implication Operators
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    Chapter 12 Completing Preferences by Means of Analogical Proportions
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    Chapter 13 Rating Supervised Latent Topic Model for Aspect Discovery and Sentiment Classification in On-Line Review Mining
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    Chapter 14 On Various Types of Even-Sized Clustering Based on Optimization
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    Chapter 15 On Bezdek-Type Possibilistic Clustering for Spherical Data, Its Kernelization, and Spectral Clustering Approach
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    Chapter 16 Hierarchical Clustering via Penalty-Based Aggregation and the Genie Approach
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    Chapter 17 Complicity Functions for Detecting Organized Crime Rings
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    Chapter 18 Partial Domain Theories for Privacy
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    Chapter 19 Privacy-Preserving Cloud-Based Statistical Analyses on Sensitive Categorical Data
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    Chapter 20 Machine Learning Combining with Visualization for Intrusion Detection: A Survey
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    Chapter 21 Sampling and Merging for Graph Anonymization
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    Chapter 22 Diabetic Retinopathy Risk Estimation Using Fuzzy Rules on Electronic Health Record Data
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    Chapter 23 Optimizing Robot Movements in Flexible Job Shop Environment by Metaheuristics Based on Clustered Holonic Multiagent Model
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    Chapter 24 A Novel Android Application Design Based on Fuzzy Ontologies to Carry Out Local Based Group Decision Making Processes
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    Chapter 25 Automatic Detection and Segmentation of Brain Tumor Using Random Forest Approach
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Title
Modeling Decisions for Artificial Intelligence
Published by
Springer International Publishing, September 2016
DOI 10.1007/978-3-319-45656-0
ISBNs
978-3-31-945655-3, 978-3-31-945656-0
Editors

Torra, Vicenç, Narukawa, Yasuo, Navarro-Arribas, Guillermo, Yañez, Cristina

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Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Unknown 3 75%
Readers by discipline Count As %
Unspecified 1 25%
Unknown 3 75%