Litcius/Paper detail

Evaluation of fuzzy membership functions for linguistic rule-based classifier focused on explainability, interpretability and reliability

Sebastian Porębski

2022Expert Systems with Applications44 citationsDOI

Topics & Concepts

InterpretabilityComputer scienceClassifier (UML)Artificial intelligenceFuzzy logicFuzzy ruleReliability (semiconductor)Machine learningNatural language processingData miningFuzzy setQuantum mechanicsPhysicsPower (physics)Fuzzy Logic and Control SystemsMulti-Criteria Decision MakingRough Sets and Fuzzy Logic
Evaluation of fuzzy membership functions for linguistic rule-based classifier focused on explainability, interpretability and reliability | Litcius