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Quantitative Logic and Soft Computing 2016

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Table of Contents

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    Book Overview
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    Chapter 1 Information Processing with Information Granules of Higher Type and Higher Order
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    Chapter 2 Similarity-Based Logics for Approximate Entailments
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    Chapter 3 Theoretical and Applicational Aspects of Fuzzy Implication Functions
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    Chapter 4 A Novel Description of Factor Logic
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    Chapter 5 A Brief Introduction to Probabilistically Quantitative Logic with Its Applications
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    Chapter 6 A Quantitative Approach for Linear Temporal Logic
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    Chapter 7 A New Theory of T Truth Degree on {\text {G}}\ddot{\text {o}}{\text {del}} n-Valued Propositional Logic System
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    Chapter 8 Soundness and Completeness of Fuzzy Propositional Logic with Three Kinds of Negation
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    Chapter 9 Normal Form of n-Valued Lukasiewicz Logic Formulas
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    Chapter 10 Relative Divergence Degree and Relative Consistency Degree of Theories in a Kind of Goguen Propositional Logic System
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    Chapter 11 A Class of Fuzzy Modal Propositional Logic Systems with Three Kinds of Negation
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    Chapter 12 Robustness Analysis of Fuzzy Computation Tree Logic
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    Chapter 13 Localic Conuclei on Quantales
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    Chapter 14 An Equivalent Form of Uncertain Measure
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    Chapter 15 A Propositional Logic System for Regular Double Stone Algebra
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    Chapter 16 The Comparison of Expressiveness Between LTL and IGPoLTL
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    Chapter 17 Analyzing Quantitative Transition Systems
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    Chapter 18 An Approach of Matching Based on Performance Specification of Components
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    Chapter 19 Bisimulation Relations for Weighted Automata over Valuation Monoids
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    Chapter 20 Weighted Automata Over Valuation Monoids with Input and Multi-output Characteristics
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    Chapter 21 Splitting Algorithm of Valuation Algebra and Its Application in Automaton Representation of Semiring Valued Constraint Problems
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    Chapter 22 Topological Constructions of Epsilon-Bisimulation
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    Chapter 23 An Outline of 4-Valued Transition Statement Calculus
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    Chapter 24 Generalized G-Generated Implications
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    Chapter 25 On Relations Between Several Classes of Uninorms
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    Chapter 26 A p-R_0 Type Triple I Method for Interval Valued Fuzzy Reasoning
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    Chapter 27 Multiple Fuzzy Implications and Their Generating Methods
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    Chapter 28 Extended Threshold Generation of a New Class of Fuzzy Implications
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    Chapter 29 Mechanisms of Mixed Fuzzy Reasoning for Asymmetric Types
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    Chapter 30 Two Kinds of Modifications of Implications
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    Chapter 31 Distributivity for 2-Uninorms over Semi-uninorms
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    Chapter 32 Further Studies of Left (Right) Semi-uninorms on a Complete Lattice
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    Chapter 33 Interval-Valued Intuitionistic (T, S)-Fuzzy LI-Ideals in Lattice Implication Algebras
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    Chapter 34 Tense Operators on Pseudo-MV Algebras
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    Chapter 35 (f, g)-Derivations on R_0-Algebras
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    Chapter 36 Parametrization Filters and Their Properties in Residuated Lattices
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    Chapter 37 Weak Pseudo-Quasi-Wajsberg Algebras
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    Chapter 38 Characterizations of a Class of Commutative Algebras of Logic Systems
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    Chapter 39 Ideals in Residuated Lattices
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    Chapter 40 Hyper Equality Algebras
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    Chapter 41 A Special Sub-algebras of N(2, 2, 0)-Algebras
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    Chapter 42 Generalized Fuzzy Filters of R_0-Algebras
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    Chapter 43 On Generalized Annihilators in BL-Algebras
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    Chapter 44 On the Equivalence of Convergence of Fuzzy Number Series with Respect to Different Metrics
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    Chapter 45 Multicriteria Decision Making Based on Interval-Valued Intuitionistic Fuzzy Sets with a New Kind of Accuracy Function
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    Chapter 46 Regression Analysis Model Based on Normal Fuzzy Numbers
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    Chapter 47 Weighted L_p Metric on Fuzzy Numbers
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    Chapter 48 Multi-variable-term Latticized Linear Programming with Addition-Min Fuzzy Relation Inequalities Constraint
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    Chapter 49 Possibility Interval-Valued Multi-fuzzy Soft Sets and Theirs Applications
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    Chapter 50 Weighted Interval-Valued Belief Structures on Atanassov’s Intuitionistic Fuzzy Sets
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    Chapter 51 Determinations of Soft Topologies
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    Chapter 52 C̆ech Closure Molecular Lattices
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    Chapter 53 Multi-L-soft Set and Its Application in Decision Making
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    Chapter 54 On Some New Generalizations of Yager’s Implications
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    Chapter 55 An Online Mall CRM Model Based on Data Mining
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    Chapter 56 Color Image Segmentation Based on Superpixel and Improved Nyström Algorithm
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    Chapter 57 A Vague Sets Based Vertical Handoff Algorithm in Heterogeneous Networks
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    Chapter 58 Image Thresholding by Maximizing the Similarity Degree Based on Intuitionistic Fuzzy Sets
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    Chapter 59 Image Super Resolution Using Expansion Move Algorithm
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    Chapter 60 The Minimum Spectral Radius of Strongly Connected Bipartite Digraphs with Complete Bipartite Subdigraph
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    Chapter 61 A Fuzzy Support Vector Machine Algorithm and Its Application in Telemarketing
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Title
Quantitative Logic and Soft Computing 2016
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-46206-6
ISBNs
978-3-31-946205-9, 978-3-31-946206-6
Editors

Tai-He Fan, Shui-Li Chen, San-Min Wang, Yong-Ming Li

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 23%
Student > Bachelor 1 8%
Student > Ph. D. Student 1 8%
Professor 1 8%
Researcher 1 8%
Other 1 8%
Unknown 5 38%
Readers by discipline Count As %
Computer Science 3 23%
Engineering 2 15%
Mathematics 1 8%
Unknown 7 54%