ROBUSTNESS OF THE TRIPLE IMPLICATION INFERENCE METHOD BASED ON THE WEIGHTED LOGIC METRIC

DOI10.22111/ijfs.2017.3502zbMath1398.68545OpenAlexW2708913915MaRDI QIDQ4553388

Chao Fu, Jun Li

Publication date: 2 November 2018

Full work available at URL: https://ijfs.usb.ac.ir/article_3502_3af181b32a04b615e978e930b50b64b4.pdf

zbMATH Keywords

robustnessfuzzy reasoningtriple implication methodweighted logic metricweighted logic similarity degree

Mathematics Subject Classification ID

Fuzzy logic; logic of vagueness (03B52) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Cites Work

• Unnamed Item
• Perturbation of fuzzy sets and fuzzy reasoning based on normalized Minkowski distances
• On some new classes of implication operators and their role in approximate reasoning
• Unified forms of fully implicational restriction methods for fuzzy reasoning
• Triple I method based on pointwise sustaining degrees
• Metamathematics of fuzzy logic
• Formalized theory of general fuzzy reasoning.
• Triangular norms
• Non-fuzzy versions of fuzzy reasoning in classical logics
• A note on the value similarity of fuzzy systems variables
• \(\delta\)-equalities of fuzzy sets
• Value approximation of fuzzy systems variables
• Triple I algorithms based on Schweizer-Sklar operators in fuzzy reasoning
• Robustness analysis of full implication inference method
• On robustness of the full implication triple I inference method with respect to finer measurements
• Continuity of triple I methods based on several implications
• Unified full implication algorithms of fuzzy reasoning
• A note on the unified forms of triple I method
• Unified forms of Triple I method
• Fuzzy sets in approximate reasoning. II: Logical approaches
• An approach to measure the robustness of fuzzy reasoning
• Outline of a New Approach to the Analysis of Complex Systems and Decision Processes