Linked e-resources
Details
Table of Contents
Preface; Contents; Part I General Issues in the Representation andProcessing of Uncertainty and Imprecision; 1 Paired Structures, Imprecision Types and Two-Level Knowledge Representation by Means of Opposites; Abstract; 1 Introduction; 2 Opposite L-Fuzzy Sets; 3 Paired Fuzzy Sets and Paired Fuzzy Structures; 4 The Imprecision Issue; 5 Paired Structures in Logics and Knowledge Representation; 5.1 Paired Representation of Classical Logic; 5.2 Paired Representation of Intuitionistic Logic; 5.3 Bipolar Knowledge Representation Models; 6 Conclusions; Acknowledgment; References
Suggestions to Make Dempster's Rule Convenient for Knowledge Combining1 Introduction; 2 An Interpretation of Basic Probability Assignments as Sources of Diagnostic Knowledge; 2.1 The Classical Dempster's Combination and a Medical Diagnosis; 2.2 Example; 2.3 Tuning a Combination of Probability Assignments; 2.4 A Model of the Basic Probability Assignment in Medical Diagnosis; 3 Simulations; 4 Results; 5 Discussion and Conclusions; References; On Partially Ordered Product Spaces; 1 Introduction; 2 Product Posets; 3 States; 4 Dynamical Systems; 5 Conclusions; References
Various Kinds of Ordinal Sums of Fuzzy Implications1 Introduction; 2 Preliminaries; 2.1 Triangular Norms; 2.2 Fuzzy Implications; 3 Ordinal Sum I; 4 Ordinal Sum II; 5 Ordinal Sum III; 6 Ordinal Sum IV; 7 Conclusion; References; A-Poset with Multiplicative Operation; 1 Introduction; 2 A-Posets and Effect Algebras; 3 Algebraic Structures with Multiplicative Operation; 4 Probability on A-Posets; 5 Conclusion; References; 6 Method for Uncertainty Measurement and Its Application to the Formation of Interval Type-2 Fuzzy Sets; Abstract; 1 Introduction; 2 Interval Type-2 Fuzzy Sets
3 Proposed Method for Measuring Uncertainty3.1 Dispersion in Data; 3.2 Relation Coefficient of Variation with Uncertainty; 3.3 Proposed Method; 3.4 IT2 Sugeno Fuzzy Consequents; 4 Experimental Results and Discussion; 4.1 Experimental Results; 4.2 Results Discussion; 5 Conclusion and Future Work; 5.1 Conclusions; 5.2 Future Work; Acknowledgement; References; A Proposal for a Method of Defuzzification Based on the Golden Ratio
GR; 1 Introduction; 2 Fundamental Concepts; 3 Methods of Defuzzification; 4 The Golden Ratio Method; 5 Observation; 6 Conclusions; References
A New Approach to the Equivalence of Relational and Object-Oriented Databases1 Formulation of the Problem; 2 Database for Multistage Recognition; 3 Relational Model; 4 Object-Oriented Model; 5 Equivalence of the Relational Model and Object-Oriented Model; 6 Concluding Remarks; References; Part II Intuitionistic Fuzzy Sets: Foundations,Tools and Techniques; Intuitionistic Fuzzy Implications and Klir-Yuan's Axioms; 1 Introduction; 2 On the Operations ``Implication'' and ``Negation'' in Intuitionistic Fuzzy Propositional Calculus
Suggestions to Make Dempster's Rule Convenient for Knowledge Combining1 Introduction; 2 An Interpretation of Basic Probability Assignments as Sources of Diagnostic Knowledge; 2.1 The Classical Dempster's Combination and a Medical Diagnosis; 2.2 Example; 2.3 Tuning a Combination of Probability Assignments; 2.4 A Model of the Basic Probability Assignment in Medical Diagnosis; 3 Simulations; 4 Results; 5 Discussion and Conclusions; References; On Partially Ordered Product Spaces; 1 Introduction; 2 Product Posets; 3 States; 4 Dynamical Systems; 5 Conclusions; References
Various Kinds of Ordinal Sums of Fuzzy Implications1 Introduction; 2 Preliminaries; 2.1 Triangular Norms; 2.2 Fuzzy Implications; 3 Ordinal Sum I; 4 Ordinal Sum II; 5 Ordinal Sum III; 6 Ordinal Sum IV; 7 Conclusion; References; A-Poset with Multiplicative Operation; 1 Introduction; 2 A-Posets and Effect Algebras; 3 Algebraic Structures with Multiplicative Operation; 4 Probability on A-Posets; 5 Conclusion; References; 6 Method for Uncertainty Measurement and Its Application to the Formation of Interval Type-2 Fuzzy Sets; Abstract; 1 Introduction; 2 Interval Type-2 Fuzzy Sets
3 Proposed Method for Measuring Uncertainty3.1 Dispersion in Data; 3.2 Relation Coefficient of Variation with Uncertainty; 3.3 Proposed Method; 3.4 IT2 Sugeno Fuzzy Consequents; 4 Experimental Results and Discussion; 4.1 Experimental Results; 4.2 Results Discussion; 5 Conclusion and Future Work; 5.1 Conclusions; 5.2 Future Work; Acknowledgement; References; A Proposal for a Method of Defuzzification Based on the Golden Ratio
GR; 1 Introduction; 2 Fundamental Concepts; 3 Methods of Defuzzification; 4 The Golden Ratio Method; 5 Observation; 6 Conclusions; References
A New Approach to the Equivalence of Relational and Object-Oriented Databases1 Formulation of the Problem; 2 Database for Multistage Recognition; 3 Relational Model; 4 Object-Oriented Model; 5 Equivalence of the Relational Model and Object-Oriented Model; 6 Concluding Remarks; References; Part II Intuitionistic Fuzzy Sets: Foundations,Tools and Techniques; Intuitionistic Fuzzy Implications and Klir-Yuan's Axioms; 1 Introduction; 2 On the Operations ``Implication'' and ``Negation'' in Intuitionistic Fuzzy Propositional Calculus