Advances in Computational Intelligence, Part I

Name: Advances in Computational Intelligence, Part I | 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9 - 13, 2012. Proceedings, Part I
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14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Catania, Italy, July 9 - 13, 2012. Proceedings, Part I

Salvatore Greco Bernadette Bouchon-Meunier Giulianella Coletti Mario Fedrizzi Benedetto Matarazzo Ronald R. Yager(Editor)

Springer (Publisher)

Published on 20. July 2012

XVI, 658 pages

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These four volumes (CCIS 297, 298, 299, 300) constitute the proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, held in Catania, Italy, in July 2012. The 258 revised full papers presented together with six invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on fuzzy machine learning and on-line modeling; computing with words and decision making; soft computing in computer vision; rough sets and complex data analysis: theory and applications; intelligent databases and information system; information fusion systems; philosophical and methodological aspects of soft computing; basic issues in rough sets; 40th anniversary of the measures of fuziness; SPS11 uncertainty in profiling systems and applications; handling uncertainty with copulas; formal methods to deal with uncertainty of many-valued events; linguistic summarization and description of data; fuzzy implications: theory and applications; sensing and data mining for teaching and learning; theory and applications of intuitionistic fuzzy sets; approximate aspects of data mining and database analytics; fuzzy numbers and their applications; information processing and management of uncertainty in knowledge-based systems; aggregation functions; imprecise probabilities; probabilistic graphical models with imprecision: theory and applications; belief function theory: basics and/or applications; fuzzy uncertainty in economics and business; new trends in De Finetti's approach; fuzzy measures and integrals; multicriteria decision making; uncertainty in privacy and security; uncertainty in the spirit of Pietro Benvenuti; coopetition; game theory; probabilistic approach.

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Content

Title
Preface
Organization
Table of Contents - Part I
Fuzzy Machine Learning and On-Line Modeling
Dynamic Quantification of Process Parameters in Viscose Production with Evolving Fuzzy Systems
Introduction
Chemometric Modeling Procedure
Pre-processing Phase
Initial Modeling Phase
Incremental On-line Learning (Evolving Model)
Experimental Setup
Results
Model Selection and Validation (Off-line)
On-line Phase
Conclusion
References
Statistical Dynamic Classification to Detect Changes in Temperature Time Series
Introduction
Context Description
Early Detection of Blockage
Simulation of Perturbations
Preprocessing
Parameters
Learning Phase
Classification Phase
Results
Conclusions and Perspectives
References
A Possibilistic Rule-Based Classifier
Introduction
Related Works
Rule Fuzzification
Possibilistic Rule-Based Classifiers: PRCs
Experiments and Discussion
Conclusion
References
Uncertainty and Trust Estimation in Incrementally Learning Function Approximation
Motivation
Related Work
Incremental Estimation of Output Uncertainty
General Concept
Application to TS-Fuzzy System
Experimental Investigation
Experimental Setup
Experimental Results
Consequence
Conclusion and Outlook
References
On the VC-Dimension of the Choquet Integral
Introduction
The Discrete Choquet Integral
Non-additive Measures
The Choquet Integral
The Choquet Integral as a Tool for Classification
The VC Dimension
The VC Dimension of the Choquet Integral
Concluding Remarks
References
A Fuzzy Residuated Approach to Case-Based Reasoning
Introduction
Basic Definitions and Notations
Original Crisp Framework for Case Resemblance Hypergraph
Basic Definitions
Obtaining Clusters from a Case Base
Computing a Solution to a New Problem According to a Cluster
Determining Cluster Strength in Relation to a New Problem
Using Attribute Weights
Example
Generalized Fuzzy Framework
Fuzzy Case Resemblance Relation
Adaptation of the Methodology to the Fuzzy Approach
Example
Some Properties of the Fuzzy Approach
Experiments Using Related Approaches
Conclusions
References
A Unifying Framework for Classification Procedures Based on Cluster Aggregation by Choquet Integral
Introduction
Related Literature
Prerequisites
A Unified Model
k-Nearest Neighbors
Classification Trees
Building a New Classification Model
Benchmarking
Conclusions and Future Directions
References
Balancing Interpretability against Accuracy in Fuzzy Modeling by Means of ACO
Introduction
Single and Compound Rules
An ACO Algorithm to Improve the Interpretability of Fuzzy Models
Integration of the Accuracy in the ACO Algorithm
Heuristic Measure of Distortion
Integration of the Heuristic Distortion in the ACO Algorithm
Experimental Results
Conclusions and Future Works
References
Towards a Fuzzy Extension of the L´opez de M´antaras Distance
Introduction
A Fuzzy Version of the López de Mántaras Distance
Experiments
Conclusions and Future Work
References
Optimal Piecewise Bilinear Modeling of Nonlinear Systems
Introduction
Canonical Form of Piecewise Bilinear Models
Formulation of Optimal PB Modeling
Simulations
Conclusions
References
Precise Vehicle Cruise Control System Based on On-Line Fuzzy Control Learning
Introduction
Problem Statement
Solution Development
Singletons Learning
Structure Learning
Pedal Adjustments
Experimentation and Results
Tests in Simulated Environment
Tests in Real Environment
Conclusions and Future Work
References
Robust Stabilization of Nonlinear Systems Modeled with Piecewise Bilinear Systems Based on Feedback Linearization
Introduction
Canonical Form of Piecewise Bilinear Models
Open-Loop Systems
Closed-Loop Systems
LUT-Controllers Based on Input-Output Linearization
Input-Output Linearization
Robust Stability khalilnl
Expression of Modeling Errors in the PB Model
Numerical Example
Original Van del Pol System with the Time-Varying Structured Uncertainties
Conclusions
References
Computing with Words and Decision Making
Modeling Environmental Syndromes with Distinct Decision Attitudes
Introduction
Merging Bipolar Information within Possibility Theory
Merging Bipolar Information with Distinct Decision Attitudes
Rational-Cautious Revision by Expert-Defined Trust
Rational-Precautionary Revision by Observation-Dependent Trust
Alarming Revision by Knowledge-Dependent Trust
Conclusions
References
On the Applicability of Multi-criteria Decision Making Techniques in Fuzzy Querying
Introduction
Preliminaries
Logical Connectives and Aggregation in LSP
Logical Connectives and Aggregation in `Fuzzy' Database Querying
On the Need for Extra Aggregation Techniques in `Fuzzy' Querying
`And if Possible'
`Or Else'
On the Suitability of LSP Aggregation Techniques
`And Optionally' Aggregator - Conjunctive Partial Absorption
`Or Optionally' Aggregator - Disjunctive Partial Absorption
Conclusion and Future Work
References
Fuzzy Numbers as Utilities of Decision Making in Treatment of Radiation Cystitis
Introduction
The Outline of Fuzzy Decision Making Data in Medication
Creation of Fuzzy Utilities
Introduction of Power-Importance Weights in Matrix U
The Extraction of the Optimal Treatment-Decision
Medicine Ranking in Radiation Cystitis
Conclusions
References
A Linguistic Approach to Structural Analysis in Prospective Studies
Introduction
MICMAC
Fuzzy MICMAC
Fuzzy Modifications to MICMAC
A Real Example
Conclusions and Further Work
References
A Fuzzy Group Decision Support System for Projects Evaluation
Introduction
The Main Fuzzy Ranking Algorithms
The Conditions for Choosing the Most Appropriate Fuzzy Ranking Algorithm
Sensitivity Analysis
Sensitivity Analysis on the Attributes' Weight
Sensitivity Analysis on the Projects' Performance
Decision Making System Simulation
A New Project Evaluation Algorithm
Software Development
Conclusion
References
Risk Prediction Framework and Model for Bank External Fund Attrition
Introduction
Literature Review
A Risk Prediction Framework for Bank Customer Attrition
A Sporadic Combined Prediction Model
Model Description
Model Fit Evaluation
Experiments Results and Validation
Validation
Result Analysis
Conclusion and Further Research
References
Group Decision Making with Comparative Linguistic Terms
Introduction
Preliminaries
Scheme of a Group Decision Making Problem
Fuzzy Linguistic Approach
Elicitation of Comparative Linguistic Terms
Linguistic Group Decision Making Model Dealing with Comparative Linguistic Terms
Illustrative Example
Conclusions
References
An Extended Version of the Fuzzy Multicriteria Group Decision-Making Method in Evaluation Processes
Introduction
FMCGDM Method
An Extended Version of FMCGDM Method
An Application to a Fabric Material Evaluation Process
Fabric Hand-Based Textile Material Evaluation
Extended version of FMCGDM Method
Concluding Remarks
References
On Some Connections between Multidistances and Valued m-ary Adjacency Relations
Introduction
Multidistances and Valued Multiadjacency Relations
Bridging the Gap between Multidistances and Valued m-ary Adjacency Relations
Equivalence between Optimization Models
On a Difference between Multidistances and Valued Multiadjacency Relations
Arithmetic-Geometric Multidistances
References
Logical Proportions - Further Investigations
Introduction
Background: Different Types of Logical Proportions
Properties
Looking for More Properties
A Brief Description of CHELP
Conjectures
Conclusion
References
Duality between Addition and Removal: A Tool for Studying Change in Argumentation
Introduction
Formal Framework
Some Change Properties
Usefulness of Duality
Propositions Obtained by Duality
Discussion and Conclusion
References
Soft Computing in Computer Vision
F1-transform Edge Detector Inspired by Canny's Algorithm
Introduction
F-transform, F1-transform
F1-transform Based Edge Detector
Experiments and Comparison
Conclusions
References
Coordinate-Based Pattern-Mining on Functional Neuroimaging Databases
Introduction
Functional Neuroimaging
Gaussian Mixture Models for Clustering Coordinates
Finding Common Activation Patterns
Coordinate-Based Pattern-Mining Identifies Common Networks of the Human Brain
Implementation and First Evaluation Results
Conclusions
References
WAPSI: Web Application for Plant Species Identification Using Fuzzy Image Retrieval
Introduction
System Architecture Overview
Leaf Shape-Based Retrieval
Feature Extraction
Fuzzy Image Matching and Retrieval
Experimental Results
Shape-Based Retrieval Results
User Interfaces Results
Conclusions
References
Comparing the Efficiency of a Fuzzy Single-Stroke Character Recognizer with Various Parameter Values
Introduction
Basic Concepts of the Recognition Method and the Parameter Value Analysis
Overview of the Recognition Algorithm
Input Signal
Pre-processing
Feature Extraction
The Inference
The Adaptation Phase
Development Environment and Data Source
Results
Original System
The Modified System
Other Recognizers
Conclusion and Further Work
References
Rough Sets and Complex Data Analysis: Theory and Applications
An Empirical Comparison of Rule Induction Using Feature Selection with the LEM2 Algorithm
Introduction
Rule Induction Based on Feature Selection
LEM2
Inconsistent Data
LERS Classification System
Experiments
Conclusions
References
Management of Information Incompleteness in Rough Non-deterministic Information Analysis
Introduction
An Example of a NIS and Issues in RNIA
Rule Generation in RNIA
Managing Non-deterministic Information in RNIA
Managing Intervals in RNIA
Working with RNIA: Case Studies
UCI Data Sets
Salary Data Set
An Usage of the Software Tool
Concluding Remarks
References
Rough-Granular Computing Based Relational Data Mining
Introduction
Granular Computing and Rough Sets
A Rough-Granular Computing Framework for Relational Data
An Approximation Space for Relational Data Description
An Approximation Space for Generalized Relational Description
Application of the Tolerance Rough Set Model Defined for Relational Data
Conclusions
References
On Different Ways of Handling Inconsistencies in Ordinal Classification with Monotonicity Constraints
Introduction
Handling Inconsistencies in Dominance-Based Rough Set Approach
Variable Consistency Dominance-Based Rough Set Approach
Transformation of Inconsistent Decision Table into Consistent One by Successive Elimination of Inconsistent Objects
Experimental Setup
Results
Conclusions and Future Work
References
Fuzzy-Rough MRMS Method for Relevant and Significant Attribute Selection
Introduction
Fuzzy-Rough Sets
Fuzzy-Rough Attribute Selection Method
Fuzzy-Rough MRMS Method
Computation of Relevance and Significance
Fuzzy-Rough MRMS Algorithm
Computational Complexity
Experimental Results
Performance of Various Rough Set Models
Performance of Different Feature Evaluation Indices
Performance of Different Algorithms
Conclusion
References
Rough Derivatives as Dynamic Granules in Rough Granular Calculus
Introduction
Motivation for Introducing Rough Derivatives
Function Approximation and Approximation of Function Changes
Rough Derivative as Dynamic Granules
Conclusions
References
A Rough Set Approach to Knowledge Discovery by Relation Approximation
Introduction
Learning by Relation Approximation
Case study I: Knowledge Discovery from Data with Continuous Decision
Learning the Preference Relation
Prediction Problem
Ranking Learning
Dynamic Searching for the Best Ranking
Experimental Results
Case Study II: Nursery Data Set
Conclusions
References
Intelligent Databases and Information System
On Fuzzy Preference Queries Explicitly Handling Satisfaction Levels
Introduction
Reminder about SQLf
Fuzzy Conditions Involving Satisfaction Levels
Score-Based Conditions at an Individual Tuple Level
Score-Based Conditions at a Group Level
Case-Based Querying
Query Processing Aspects
Conclusion
References
On a Reinforced Fuzzy Inclusion and Its Application to Database Querying
Introduction
Reminder about SQLf
All the More as
About Strengthening Modifiers
Axioms of the Connective ``All the More as''
Two Plausible Definitions
Reinforced Implication and Inclusion
Reinforced Implication
Reinforced Inclusion
Application to Database Querying
Conclusion
References
Implementable Representations of Level-2 Fuzzy Regions for Use in Databases and GIS
Introduction
Related Work
Concepts
Geographic Representation Structures
Fuzzy Regions
Representation of Fuzzy Regions
Concept
Models
Representation of Level-2 Fuzzy Regions
Concept and Problems
Level-2 Bitmaps
Level-2 Triangular Networks
Conclusion
References
Distinct Interpretations of Importance Query Weights in the Vector p-norm Database Model
Introduction
Soft Aggregations of Conditions with Unequal Importance
Soft Aggregations Based on the OWA Operator
Soft Aggregations Based on the Generalized Conjunction Disjunction (GCD) Function
Soft Aggregations based on the p-norm Operator
Generalized p-norm Aggregations with Distinct Semantics of Importance Weights
Importance Weights as Minimum Satisfaction Levels
Importance Weights as Ideal Satisfaction Degrees
Conclusions
References
On Link Validity in Bibliographic Knowledge Bases
Introduction
Documentary Bases Link Validation
Link Validation in SUDOC Base
SUDOC Base
Contextualization of Authorities
Clustering of Contextual Authorities
Link Validation Repair
Conclusion
References
Text Retrieval and Visualization in Databases Using Tag Clouds
Introduction
Tag Cloud Processing and Visualization
Theoretical Proposal
Comparison Example of the Mono-Term, AP and AP-Ordered Structures
Conclusions
References
A Bipolar Approach to the Handling of User Preferences in Business Processes Retrieval
Introduction
Background and Related Work
Bipolar Preferences in Process Models
Bipolar Evaluation of Process Models Similarity
Bipolar Preference Satisfaction between Process Models
Behavioral Similarity between Process Models
Similarity between Process Models
Experimentation
Conclusion
References
Evaluating Possibilistic Valid-Time Queries
Introduction
Preliminaries
Temporal Databases
Possibilistic Variables and Ill-known Values, Sets and Intervals
Interval Evaluation by Ill-known Constraints
Possibilistic Valid-Time Query Evaluation
The Valid-Time Relation
The Query
Conclusions
References
A Possibilistic Valid-Time Model
Introduction
Preliminaries
Possibilistic Variables
Fuzzy Numbers and Fuzzy Intervals
Interval Evaluation by Ill-known Constraints
Temporal Databases
Proposal
Valid-Time Intervals
Querying Ill-Known Valid-Time Intervals
Conclusions and Further Research
References
Fuzzy Ontologies for Specialized Knowledge Representation in WordNet
Introduction
Limitations of WordNet in Specialized Knowledge Representation
Fuzzy Extension of WordNet
Fuzzy Ontologies
Fuzzy WordNet Ontology
Conclusions and Future Work
References
Individual Link Model for Text Classification
Introduction
Related Work
Predictive Model for Single Object Classification
Predictive Model for Content-Only
Model for Individual Link
The Complete Predictive IL Model
Iterative Classification Algorithm
Experiments and Results
Experiments
Results
Conclusion
References
Coreference Detection of Low Quality Objects
Introduction
Preliminaries
Levenshtein Distance and Alignment
N-Dimensional Variation
Record linkage
Proposal
Methodology
Examples
Results
Future Work
Improvements
Different Alignment Methods
Dataset
Conclusion
References
Information Retrieval: Ranking Results According to Calendar Criteria
Introduction
Formal Representation of Calendar Expressions
Functional Representation of Calendar Expressions
Referential Representation
Calendar Intervals Associated to Calendar Expressions
Filtering and Ranking Answers for Retrieval Purposes
The Issue
Adequacy Criteria
Scoring the Answers
Ordering the Answers
Implementation
Related Work
Conclusion
References
Towards an Efficient Processing of Outranking-Based Preference Queries
Introduction
Reminder about the Outranking-Based Model
Atomic Preference Modeling
Concordance, Indifference, Discordance
Preference Model
Classification-Based Filtering
Principles of the Filtering Strategy
Acceptability Profiles Definition
Top-k Answers Approximation
Illustrative Example and Experimentations
Conclusion
References
Information Fusion Systems
Robustness of Multiset Merge Functions
Introduction
Preliminaries
Multisets
Merge functions
Robustness
Stability
Robustness
Conclusion
References
Semantic Beliefs Fusion
Introduction
Basics of the Evidential Theory
Representing Semantic Beliefs in Ontology
Uncertain Instantiation Part of a Domain-Ontology
DS-Ontology, An Upper Ontology
DS-Ontology Vocabulary
Semantics of DS-Ontology
Semantic Set Operators
Semantic Inclusion
Semantic Non-disjointness
Mapping Semantic Beliefs to Evidential Reasoning
Motivation
Projection to the Evidential Discernment Frame
Illustrative Scenarios
Conclusion
References
Weighted Fuzzy Aggregation for Metasearch: An Application of Choquet Integral
Introduction
Existing Result Aggregation Models
The Choquet Integral Model
MCDM Using Choquet Integral ( An Example)
Building the Choquet Result Aggregation Model
Experiments and Results
Conclusions
References
Encoding Preference Queries to an Uncertain Database in Possibilistic Answer Set Programming
Introduction
Logic Programs with Possibilistic Ordered Disjunction
Preferences Queries to a Possibilistic Database
Conjunctive Preference Query
Disjunctive Query
Full Discrimination-based Query
Related Work
Concluding Remarks
References
A Multi Level Evaluation for Fusion System Interaction Improvement
Introduction
Limit of a Numeric Local Evaluation
Intermediate Symbolic Evaluation
Numeric to Symbolic Evaluation
A Hierarchical Evaluation
Illustration
Conclusion
References
Choquet Integral Parameter Optimization for a Fusion System Devoted to Image Interpretation
Introduction
The Fuzzy Measure Optimization Problem
Genetic Algorithms for Choquet Integral Parametrization
Genetic Algorithms
Parameter Optimization for the Choquet Integral
Experiments and Results
Conclusions
References
Philosophical and Methodological Aspects of Soft Computing
Fuzzy Sets and Systems before the Fuzzy Boom
Introduction
Fuzzy Languages and Fuzzy Algorithms
Fuzzy Relations and Fuzzy Semantics
Outlook
References
A New Characterization for n-Fold Positive Implicative BL-Logics
Introduction
Preliminaries
n-fold Boolean Filters and n-fold Positive Implicative Filters
n-fold Normal Filters
Conclusion
References
A Pairwise Distance View of Cluster Validity
Introduction
Clustering
The Distance View - A New Perspective on Clustering
Cluster Validity
The Generalized Intra-Inter Silhouette Index
Experimental Results and Discussion
Conclusions and Future Work
References
On Modal Operators in Lukasiewicz' n-Valued Logics
Introduction
Lukasiewicz' bold0mu mumu nnnnnn-Valued Logic
Lukasiewicz' bold0mu mumu nnnnnn-Valued Modal Logic
Laws of Excluded Middle and Contradiction
Normal Modal Systems of Lbold0mu mumu nmodnmodnmodnmodnmodnmod
Conclusions
References
Basic Issues in Rough Sets
Associated Near Sets of Merotopies
Introduction
Preliminaries
Approach Spaces
Approach Nearness Spaces
Topological Structures: Filters, Grills, Cluster Points
Clusters in Approach Nearness Spaces
Concluding Remarks
References
Roughness in Residuated Lattices
Introduction
Preliminaries
Approximations Induced by Filters of Residuated Lattices
Connections among Approximation Spaces
References
A General Set Theoretic Approximation Framework
Introduction
A General Set Theoretic Approximation Framework
Exactness in General Approximation Spaces
Conclusion
References
Label Ranking: A New Rule-Based Label Ranking Method
Introduction
Related Work
A New Rule-Based Label Ranking Method
Data Preprocessing: Learning Reduction Process
The Training Process: Inferring Rules
Post-processing Phase
The Classification Process
Ranking Generation Process
Experiments and Discussion
Conclusions and Future Work
References
Distinguishing Vagueness from Ambiguity by Means of Pawlak-Brouwer-Zadeh Lattices
Introduction
Brouwer-Zadeh Distributive De Morgan Lattices
Pawlak Operator
Pawlak-Brouwer-Zadeh Lattices and Rough Set Theory
Conclusions
References
Relationships between Connectives in Three-Valued Logics
Introduction
Three-Valued Functions
Conjunctions on Three Values
Implications on Three Values
Negations
From Conjunction to Implication and Back
Conclusion
References
Ill-Known Set Approach to Disjunctive Variables: Calculations of Graded Ill-Known Intervals
Introduction
Graded Ill-Known Sets
Calculations of Graded Ill-Known Sets
A Simple Example
References
Author Index

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Advances in Computational Intelligence, Part I

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