Fuzzy Logic and Applications
12th International Workshop, WILF 2018, Genoa, Italy, September 6-7, 2018, Revised Selected Papers
Published on 22. February 2019
XI, 273 pages
978-3-030-12544-8 (ISBN)
Description
This book constitutes the post-conference proceedings of the 12th International Workshop on Fuzzy Logic and Applications, WILF 2018, held in Genoa, Italy, in September 2018.
The 17 revised full papers and 9 short papers were carefully reviewed and selected from 26 submissions. The papers are organized in topical sections on fuzzy logic theory, recent applications of fuzzy logic, and fuzzy decision making. Also included are papers from the round table "Zadeh and the future of logic" and a tutorial.More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XI, 273 p. 76 illus., 54 illus. in color.
File size
14,85 MB
ISBN-13
978-3-030-12544-8 (9783030125448)
DOI
10.1007/978-3-030-12544-8
Schweitzer Classification
Other editions
Additional editions
Robert Fullér | Silvio Giove | Francesco Masulli
Fuzzy Logic and Applications
12th International Workshop, WILF 2018, Genoa, Italy, September 6-7, 2018, Revised Selected Papers
Book
02/2019
Springer
€53.49
Shipment within 7-9 days
Content
- Intro
- Preface
- Organization
- Contents
- Advances in Fuzzy Logic Theory
- Machine Learning for an Adaptive Rule Base
- Abstract
- 1 Machine Learning
- 2 Machine Learning Approaches to an Adaptative Rule Base
- 3 Proposal of a Machine Learning Method for Adaptive Rule Base
- 3.1 Linguistic Context
- 3.2 Expressions of Variables
- 3.3 Inference Method
- 3.4 Defuzzification Method
- 4 Finite-State Machine
- 5 Supervisor
- 6 Experimental Outcomes
- 6.1 Evaluation of Experiments
- 7 Conclusions
- Acknowledgments
- References
- Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness
- 1 Introduction
- 2 Gradual Grade of Fuzziness of a Fuzzy Set
- 3 Shadowed Set Induction
- 4 Experiments
- 5 Conclusions
- References
- Test-Cost-Sensitive Quick Reduct
- 1 Introduction
- 2 Background
- 2.1 Reduct and Rough Sets
- 2.2 Feature Selection with Rough Sets
- 2.3 Related Work
- 3 Test-Cost-Sensitive Quick Reduct
- 4 Experimental Results
- 4.1 Data
- 4.2 Cost Generation
- 4.3 Comparison Metrics
- 4.4 Results
- 5 Conclusion
- References
- On the Problem of Possibilistic-Probabilistic Optimization with Constraints on Possibility/Probability
- 1 Introduction
- 2 Necessary Concepts and Notations
- 3 Construction of a Possibilistic-Probabilistic Programming Model with Constraints on Possibility and Probability
- 4 Equivalent Crisp Analog
- 5 Conclusion
- References
- Any F-Transform Is Defined by a Powerset Theory
- 1 Introduction
- 2 Preliminaries
- 3 Powerset Theories in the Category SpaceFP
- 4 Conclusions
- References
- Soft Clustering: Why and How-To
- 1 Introduction
- 2 Soft Clustering
- 3 Some Popular Clustering Algorithms: A Unified View
- 3.1 The c-Means Family
- 3.2 A Unifying Formalism
- 4 Membership Function Parametrization
- 4.1 Possible Parametrizations in the CM Family
- 4.2 Roles of Parameters
- 4.3 Factorisation of Parameters
- 5 Setting the Model Parameters
- 5.1 Setting the Resolution Parameters Using Free Memberships v
- 5.2 Setting the Resolution Parameters Using Memberships u
- 5.3 Setting the Possibility Degree with an Outlier Rejection Criterion
- 5.4 Setting the Possibility Degree as an Independent Parameter
- 6 Conclusion
- References
- Recent Applications of Fuzzy Logic
- A Cloud Fuzzy Logic Framework for Oral Disease Risk Assessment
- Abstract
- 1 Introduction
- 2 The Architecture of the FL Framework
- 3 Expert System for Oral Disease Risk Assessment
- 3.1 Linguistic Labelling of Risk Factors and Risk Classes
- 3.2 Rules Generation and Inference
- 4 User-Oriented Risk Assessment for Oral Health Promotion
- 5 Graphical User Interfaces (GUI's) and Sample Runs of the Implemented Framework
- 6 Conclusions
- References
- A Fuzzy Rule-Based Decision Support System for Cardiovascular Risk Assessment
- 1 Introduction
- 2 Vital Signs of Cardiovascular Disease
- 3 The Fuzzy Rule-Based Decision Support System
- 4 Experimental Results
- 5 Conclusions
- References
- Enhancing the DISSFCM Algorithm for Data Stream Classification
- 1 Introduction
- 2 Dynamic Incremental Semi-Supervised FCM
- 3 Experimental Results
- 4 Conclusions
- References
- Fuzzy Similarity-Based Hierarchical Clustering for Atmospheric Pollutants Prediction
- 1 Introduction
- 2 Fuzzy Similarity and Agglomerative Clustering
- 2.1 Membership Functions
- 2.2 Fuzzy Similarity
- 2.3 Dendrogram and Consensus Matrix
- 3 Experimental Results
- 4 Conclusions
- References
- A Neuro-Fuzzy Approach to Assess the Soft Skills Profile of a PhD
- 1 Introduction
- 2 Related Work
- 3 A Brief Overview on the 2-Tuple Fuzzy Linguistic Approach
- 4 Dealing with the PhD' Soft Skills Profiles by Using the 2-Tuple Fuzzy Linguistic Approach
- 4.1 Creating the PhDs Profiles
- 4.2 Recommending the Best PhD Profile for a Given Company
- 5 Profiles Recommendation to Support the HR Manager Activity
- 6 The Neuro-Fuzzy Approach
- 6.1 The Neural Network Architecture
- 7 A Preliminary Set of Experiments and Discussion
- 8 Conclusions
- References
- Fuzzy Decision Making
- Two SMART Fuzzy Aggregation Operators
- 1 Introduction and Motivation
- 2 Preliminaries
- 3 The General SMART Disjunction and Conjunction
- 3.1 SMART Disjunction
- 3.2 SMART Conjunction
- 4 A Practical Application of the SMART Operators to Option Pricing
- 5 Conclusion
- References
- Towards a Fuzzy Index of Skewness
- Abstract
- 1 Introduction
- 2 Skewness Obtained from Option Prices: From the Smile Function to Skewness Estimation
- 3 The Smile Function Obtained Through Fuzzy Regression Methods
- 4 Fuzzy Skewness for the Italian Market
- 5 The Defuzzification Procedure
- 6 The Assessment of the Best Skewness Forecast
- 7 Conclusions
- Acknowledgment
- References
- Grading by Committees: An Axiomatic Approach
- 1 Introduction
- 2 Aggregation of Ordinal Assessments by Grading Functionals
- 3 Anonymous Grading Functionals
- 4 Conclusions
- References
- Minimum of Constrained OWA Aggregation Problem with a Single Constraint
- 1 Introduction
- 2 Optimization of OWA Operators
- 3 Minimizing the Objective Function
- 4 An Example for Both Maximization and Minimization Problems
- 5 Conclusions
- References
- An Alpha-Cut Evaluation of Interval-Valued Fuzzy Sets for Application in Decision Making
- 1 Introduction
- 2 Preliminaries and Notation
- 3 Evaluation of Interval-Valued Fuzzy Quantities
- 4 Application
- 4.1 A Numerical Example
- 5 Comparison with Nie-Tan Method
- 5.1 Modified Nie-Tan Evaluation
- 6 A Numerical Example
- 7 A Different Proposal
- 8 Conclusion
- References
- Tutorial
- Paving the Way to Explainable Artificial Intelligence with Fuzzy Modeling
- 1 Introduction
- 2 Towards Explainable Artificial Intelligence
- 3 Granular Computing
- 4 Interpretability in Fuzzy Modeling
- 5 Fuzzy Modeling for XAI: Current Developments
- 6 Future Developments
- References
- Round Table: Zadeh and the Future of Fuzzy Logic
- The Fuzzy Logic Gambit as a Paradigm of Lotfi's Proposals
- References
- How Best to Design Fuzzy Sets and Systems
- References
- Some Thoughts About Appealing Directions for the Future of Fuzzy Theory and Technologies Along the Path Traced by Lotfi Zadeh
- References
- From Zadeh's Computing with Words Towards eXplainable Artificial Intelligence
- References
- Looking at the Branches and Roots
- References
- Deep Neural Networks and Explainable Machine Learning
- References
- Fuzzy Models for Big Data Mining
- References
- The Challenges of Big Data and the Contribution of Fuzzy Logic
- References
- The Future of Fuzzy Sets in Finance: New Challenges in Machine Learning and Explainable AI
- References
- New Trends of Fuzzy Systems: Fintech Applications
- 1 Fuzzy Systems in FinTech
- 2 Conclusion
- References
- Author Index
