Comparative analysis of logic operators: a perspective of statistical testing and granular computing

DOI10.1016/J.IJAR.2015.07.011zbMath1344.68235OpenAlexW2460731472MaRDI QIDQ900268

Xingchen Hu, Xianmin Wang, Witold Pedrycz

Publication date: 22 December 2015

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2015.07.011

zbMATH Keywords

t-conormst-normsgranular computinglogic operatorsgranular extensions of logic operatorsstatistical performance analysis

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

INTERVAL ANALYSIS-BASED HYPERBOX GRANULAR COMPUTING CLASSIFICATION ALGORITHMS ⋮ Binary classification of multigranulation searching algorithm based on probabilistic decision

Uses Software

• UCI-ml

Cites Work

• Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules
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• Statistical analysis of parametric t-norms
• Migrative uninorms and nullnorms over t-norms and t-conorms
• On the distributivity of uninorms over nullnorms
• Construction of aggregation functions from data using linear programming
• Distributivity between uninorms and nullnorms
• On generalized fuzzy relational equations and their applications
• Triangular norms
• On triangular norms and uninorms definable in Ł\(\Pi \frac{1}{2}\)
• Symmetric implicational method of fuzzy reasoning
• Hierarchical structure and applications of fuzzy logical systems
• Triple I method of approximate reasoning on Atanassov's intuitionistic fuzzy sets
• A model of granular data: a design problem with the Tchebyschev FCM
• An Empirical Study of Statistical Properties of the Choquet and Sugeno Integrals

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