Fuzzy Information and Engineering-2019

 
 
Springer (Verlag)
  • 1. Auflage
  • |
  • erschienen am 16. Mai 2020
  • |
  • 288 Seiten
 
E-Book | PDF mit Adobe DRM | Systemvoraussetzungen
978-981-15-2459-2 (ISBN)
 

This book includes 70 selected papers from the Ninth International Conference on Fuzzy Information and Engineering (ICFIE) Satellite, which was held on December 26-30, 2018; and from the 9th International Conference on Fuzzy Information and Engineering (ICFIAE), which was held on February 13-15, 2019. The two conferences presented the latest research in the areas of fuzzy information and engineering, operational research and management, and their applications.                                                  




Cao is a second-class professor in Lingnan of Foshan University. Dean and professor of the School of Finance and Economics, Guangzhou Vocational and Technical University of Science and Technology, Guangzhou. Ph.D. student and postdoctoral tutor, School of Mathematics and Information Science, Guangzhou University, China. The President of the International Association's Fuzzy Information & Engineering (to be established), President of the Guangdong, Hong Kong and Macau Operations Research Society, and President of the Operations Research Society of Guangdong Province. Prof. Cao has pioneered geometric programming, published more than 180 papers, won 14 honors and awards, and successfully finished 12 scientific research projects. He serves as an editor-in-chief of Fuzzy Information & Engineering magazine and also as editorial boards of six international journals.

 


weitere Ausgaben werden ermittelt
  • Intro
  • Organizing Committee
  • Program Committee of Satellite Conference in ICFIAE 2018 (December 27, 2018, Foshan, China)
  • Program Committee of ICFIAE (Kish Island, Iran)
  • Preface
  • Messages of the International Advisory Board
  • Contents
  • Fuzzy Information and Intelligent System
  • Solving a Discounted Closed-Loop Supply Chain Network Design Problem by Recent Metaheuristics
  • 1 Introduction and Literature Review
  • 2 Proposed Problem
  • 3 Solution Approach
  • 3.1 Encoding Plan and Initialization
  • 3.2 Genetic Algorithm (GA)
  • 3.3 Keshtel Algorithm (KA)
  • 3.4 Red Deer Algorithm (RDA)
  • 3.5 Proposed Novel Hybrid Metaheuristic (H-RDKGA)
  • 4 Experimental Results
  • 4.1 Tuning of Metaheuristics
  • 4.2 Comparison Among Employed Metaheuristics
  • 5 Conclusion and Future Works
  • References
  • Intelligent Antenatal Fetal Monitoring Model Based on Adaptive Neuro-Fuzzy Inference System Through Cardiotocography
  • 1 Introduction
  • 2 Basic Concepts and Principles
  • 2.1 CTG and Its Interpretations in Antenatal Fetal Monitoring
  • 2.2 Takagi-Sugeno Fuzzy Inference System
  • 3 Materials and Methods
  • 3.1 Dataset Description
  • 3.2 CTG Data Exploration, Feature Extraction, and Data Preprocessing
  • 3.3 ANFIS Model for Antenatal Fetal Monitoring
  • 4 Results and Discussion
  • 4.1 The Experimental Results of the ANFIS Model
  • 4.2 Comparison with the Conventional Machine Learning Methods
  • 4.3 Comparison with the Existing Antenatal Fetal Monitoring Models
  • 5 Conclusion
  • References
  • Fighting Detection Based on Hybrid Features
  • 1 Introduction
  • 2 The Descriptor-Based Gradient Optical Flow for Global Feature Extraction and Description
  • 3 LLC Feature Representation
  • 4 Considering Temporal Information of the Global Feature
  • 5 The Process of Algorithm
  • 6 Experimental Results and Analysis
  • 7 Conclusions
  • References
  • A Method for Mining Temporal Association Rules in Single-Attributed Graph Sequence
  • 1 Introduction
  • 2 Definition of Association Rule of Attributed Graph Sequence
  • 3 Principles of the Proposed Mining Method
  • 4 Experiment Studies
  • 4.1 Experiment A
  • 4.2 Experiment B
  • 4.3 Experiment C
  • 4.4 Summary of Experimental Studies
  • 5 Conclusions
  • References
  • Fuzzy Decision-Making and Programming
  • Optimal Decision Making in Fuzzy Stochastic Hybrid Uncertainty Environments and Their Application in Transportation Problems
  • 1 Introduction
  • 2 Basic Preliminaries
  • 3 Fuzzy Stochastic TP Model
  • 4 Crisp Transformation of Model
  • 5 Conclusion
  • References
  • A Double Interactive Alternative Reduction Approach for Probabilistic Linguistic Multi-criteria Decision-Making with Incomplete Criteria Weight Information
  • 1 Introduction
  • 2 Preparation
  • 2.1 The Probabilistic Linguistic Term Set
  • 2.2 The Comprehensive Criteria Value of the Alternative
  • 3 The Probabilistic Linguistic Double Interactive Alternative Reduction Approach
  • 4 Illustrative Example
  • 5 Conclusion
  • References
  • Research on Method of Complex Fuzzy-Valued Integral Classifier in Evaluation of Ecotourism Safety in Hainan Island
  • 1 Introduction
  • 2 Basic Concepts of Complex Fuzzy-Valued Integral Classifier (CFIC)
  • 2.1 Concept of Fuzzy-Valued Integral (CFI)
  • 2.2 Basic Properties of Sugeno-Type CFI
  • 2.3 Complex Fuzzy-Valued Integral Classifier (CFIC)
  • 3 Evaluation of Ecological Security System in Hainan
  • 3.1 Index System of Ecological Security System in Hainan
  • 3.2 Preliminary Study on Evaluation Method of Ecological Security in Hainan
  • 4 Conclusion
  • References
  • Multi-attribute Decision Making Based on the Choquet Integral Operator with Hesitant Fuzzy Linguistic Information
  • 1 Introduction
  • 2 Preliminaries
  • 3 Hesitant Fuzzy Linguistic Choquet Integral Operator
  • 4 The Application of HFLCI Operator
  • 5 Conclusion
  • References
  • Fuzzy Engineering Model and Optimize
  • Design of Hierarchical Cone Fuzzy System for Nonlinear System Modeling
  • 1 Introduction
  • 2 T-S Type Cone Fuzzy System
  • 3 Hierarchical Cone Fuzzy System
  • 4 Identification of HCFS
  • 5 Simulation Experiments
  • 6 Conclusion
  • References
  • GPU Local PSO Algorithm at Dimension Level-Based Medical Image Registration
  • 1 Introduction
  • 1.1 Medical Image Registration
  • 1.2 Particle Swarm Optimization Algorithm
  • 2 The CUDA Programming Model
  • 3 Local PSO Execution Based on GPU
  • 3.1 Sequential Execution of Local PSO
  • 3.2 Implementation Framework of Local PSO Based on GPU
  • 3.3 Specific Execution of Local PSO Based on GPU
  • 4 Experiment and Analysis
  • 5 Conclusion
  • References
  • Fuzzy Geometric Programming: Past, Present, and Future
  • 1 The Past of Geometric Programming
  • 2 The Present of Geometric Programming
  • 3 The Future of Geometric Programming
  • References
  • Fuzzy Clustering Analysis of Hotel Online Booking Marketing-A Case of eLong Net
  • 1 Introduction
  • 2 Research Status Home and Abroad
  • 3 Statistical Analysis Methods, Research Data Sources, and Indicator Selection
  • 3.1 Statistical Analysis Methods
  • 3.2 Data Acquisition and Processing
  • 3.3 Establishment of Index System
  • 4 Analysis of HPM Difference Based on Factor Analysis
  • 5 Analysis of Hotel Precision Marketing Difference Based on Fuzzy Clustering Analysis
  • 6 Selection of Key Indicators of HPM Based on Entropy Value Method
  • 7 Analysis of Narration
  • 7.1 To Emphasize "User Ratings" for All Hotels
  • 7.2 To Attach Great Importance to "Evaluation Index" from Five-Star Hotel
  • 7.3 Proper Attention to "Room Features" and "Popularity Index" by Four-Star/High-Class Hotel
  • 7.4 Focus on "Popularity Index" from Three-Star/Comfort Hotel
  • 7.5 Pay Attention to "Hotel Services Index" from the Economy Hotel/Inn
  • 7.6 Desalination of Non-Key Factors in Hotel Marketing
  • 8 Conclusion
  • References
  • Fuzzy Algebra and Analysis
  • Application of the Definite Integral of Fuzzy-Valued Function Generated Linearly by Structural Elements
  • 1 Introduction
  • 2 Fuzzy Numbers Theory Generated Linearly by Structural Elements and Fuzzy Distance
  • 3 A New Definition of the Definite Integral of widetildef(x) in widetildeN(Ef)
  • 4 The Application of Definite Integral of widetildef(x) in widetildeN(Ef)
  • 5 Computation of Fuzzy Surface in widetildeN(Ef)
  • 6 Conclusion
  • References
  • Some Typical Fuzzy Complex Set-Valued Integrals
  • 1 Introduction
  • 2 Preparation
  • 3 Several Significant Complex Fuzzy Set-Valued Integrals
  • 3.1 Sugeno Complex Fuzzy Set-Valued Integral
  • 3.2 Choquet Complex Fuzzy Set-Valued Integral
  • 3.3 (N)-Complex Fuzzy Set-Valued Integral
  • 3.4 (G)-Complex Fuzzy Set-Valued Integral
  • 4 The Properties of Several Special Complex Fuzzy Set-Valued Integral
  • 4.1 Basic Properties of Sugeno Complex Fuzzy Set-Valued Integral and Choquet Complex Fuzzy Set-Valued Integral
  • 4.2 Basic Properties of (N)-Complex Fuzzy Set-Valued Integral Lemma
  • 4.3 Basic Properties of (G) Complex Fuzzy Set-Valued Integral
  • 5 The Convergence Theorem of the Complex Fuzzy Set-Valued Integral
  • 6 Conclusion
  • References
  • The Application of Fuzzy Relational Equations and Genetic Algorithm in Fault Diagnosis Problem
  • 1 Introduction
  • 2 Fuzzy Relational Equations
  • 2.1 Mathematical Model Construction
  • 2.2 Solvability
  • 3 Genetic Algorithm
  • 3.1 Initialization
  • 3.2 Evaluation and Selection Strategy
  • 3.3 Mutation and Crossover Operator
  • 3.4 Algorithm
  • 4 Experimental Case
  • 5 Conclusion
  • References
  • On Regular, Intra-regular Ordered and Fuzzy Ordered Hypersemigroups in Terms of Ideals
  • 1 Introduction and Preliminaries
  • 2 The Characteristics of Regular, Intra-regular (fuzzy) Ordered Hypersemigroups
  • 3 Semisimple Ordered and Fuzzy Ordered Hypersemigroups
  • References
  • Semi-weakly (?1, ?2) Continuity in L?-Spaces
  • 1 Introduction
  • 2 Preparation
  • 3 Semi-weakly (?1, ?2) Continuous and the Basic Proposition in L?-Space
  • 4 The Relationship with Semi-weakly Continuous and Other Weak Forms of Continuous
  • 5 Conclusion
  • References
  • Others
  • Research on System Structure Weight and Error System Optimization
  • 1 Introduction
  • 2 Concept
  • 3 System Structure Weight Transformation
  • 3.1 Basic Concept
  • 3.2 Basic Transformation of the Basic Structural Weights of the System
  • 3.3 System Structure Weight Change Example
  • 4 Relationship Between System Structure Weights and System Functions
  • 4.1 Relationship Between Systems and Subsystems
  • 4.2 Function Can Be Added to the System Optimization
  • 5 System Weights Need to Study the Issues and Content
  • 6 Conclusion
  • References
  • Discussion on the Mechanism of Influencing Tax Policy Innovation Based on SEM Model-Taking Guangdong Free Trade Zone for Example
  • 1 Review and Research Hypothesis
  • 1.1 Literature Review
  • 1.2 Research Hypothesis
  • 2 Data Acquisition and Descriptive Statistical Analysis
  • 2.1 Sample Size and Its Distribution
  • 2.2 Data Acquisition
  • 2.3 Variable Definition and Interpretation
  • 2.4 Basic Descriptive Statistical Analysis of Two Types of Enterprises
  • 3 Analysis of Structural Equation Model in Enterprise Affecting Tax Policy Innovation
  • 3.1 Introduction to Structural Equation Model
  • 3.2 Analysis of SEM for Enterprise Characteristics as "General Taxpayers" Affecting Tax Policy Innovation
  • 3.3 Analysis of SEM for the Innovation of Tax Policy Affecting "Small-Scale Taxpayers"
  • 4 Main Research Conclusions and Countermeasures
  • 4.1 Main Conclusions
  • 4.2 Countermeasures
  • References
  • Online Information Evaluation of High-Quality Hotels in Guangzhou by Comprehensive Factor Analysis
  • 1 Introduction
  • 2 Research Status Home and Abroad
  • 3 Statistical Analysis Methods, Research Data Sources, and Indicator Selection
  • 3.1 Data Acquisition and Processing
  • 3.2 Establishment of Indicator System
  • 3.3 Research Process and Its Method
  • 4 Empirical Analysis
  • 4.1 Applicability Test
  • 4.2 Estimation Factor Load Matrix
  • 4.3 Factor Rotation
  • 4.4 Factor Score
  • 4.5 Comprehensive Factor Scores and Their Rankings
  • 5 Optimization Suggestions
  • 5.1 The Platform Should Be Focused on Investing Resources
  • 5.2 Learn from Hotel Representatives with More Information
  • 5.3 Advantages and Disadvantages of Excellent Hotels
  • 6 Conclusions
  • References
  • Research on System Element Weight and Error System Optimization
  • 1 Introduction
  • 2 Concept
  • 3 Transformation of System Element Weight
  • 3.1 Concept of System Element Transformation
  • 3.2 Concept of System Element Transformation
  • 4 Relationship Between System Element Weight and System Function
  • 5 Problems and Contents of System Element Rights Need to be Studied
  • 6 Conclusion
  • References

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