Artificial Intelligence Logic and Applications (eBook, PDF)

The 2nd International Conference, AILA 2022, Shanghai, China, August 26-28, 2022, Proceedings
Redaktion: Chen, Yixiang; Zhang, Songmao

• Format: PDF

Produktbeschreibung

This book constitutes refereed proceedings of the 2nd International Conference on Artificial Intelligence Logic and Applications 2022 held in Shanghai, China from August 26-28, 2022.

The 20 full papers presented in this volume were carefully reviewed and selected from a total of 27 submissions. The papers in the volume are organised according to the following topical headings: program logic; fuzzy logic; applications; author index.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 287
• Erscheinungstermin: 9. Dezember 2022
• Englisch
• ISBN-13: 9789811975103
• Artikelnr.: 66894378

Inhaltsangabe

Program Logic.- Finite Quantified Linear Temporal Logic and its Satisfiability Checking.- Quantitative BAN Logic Based on Belief Degree.- Predicate Logic Network: Vision Concept Formation.- Approximate Simulation for Transition Systems with Regular Expressions.- On Interval Perturbation of the -Symmetric Implicational Algorithm.- Fuzzy Logic.- Viewpoint-Driven Subspace Fuzzy C-Means Algorithm.- TOPSIS Method based on Intuitionistic Fuzzy with Linguistic Concept.- Properties of Fuzzy -Approximate Context-Free Languages.- Fuzzy-Classical Linguistic Concept Acquisition Approach based on Attribute Topology.- Generalized Convex Combinations of T-norms on Bounded Lattices.- A Transformation Model for Different Granularity Linguistic Concept Formal Context.- Paraconsistent Rough Set Algebras.- Applications.- A Generalization of Bounded Commutative R -Monoids.- On the Weak Dominance Relation between Conjunctors.- New Modification to ToulminModel as an Analytical Framework for Argumentative Essays.- Value-based Preference Aggregation Argument Framework and Its Application.- A New Fuzzy Analytic Hierarchy Process Method for Software Trustworthiness Measurement.- A Novel Trustworthiness Measurement Method for Software System Based on Fuzzy Set.- The Trustworthiness Measurement Model of Component-Based Software based on Combination Weight.- Author Index.