Developing a bioaerosol detector using hybrid genetic fuzzy systems

Engineering Applications of Artificial Intelligence

Volumn 21, Issue 8, 2008, Pages 1330-1346

  Pulkkinen, Pietari ^a   Hytönen, Jarmo ^b   Koivisto, Hannu ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b Dekati Ltd   (Finland)

Author keywords

Bioaerosol detector; Fuzzy classifiers (FCs); Genetic fuzzy systems (GFS); Multiobjective evolutionary algorithms (MOEAs); Transparency

Indexed keywords

AEROSOLS; AIR POLLUTION; CLASSIFIERS; DECISION MAKING; DECISION THEORY; DECISION TREES; DETECTORS; EVOLUTIONARY ALGORITHMS; FUZZY SYSTEMS; LEARNING SYSTEMS; LINGUISTICS; MATHEMATICAL MODELS; MULTIOBJECTIVE OPTIMIZATION; OPTICAL PROPERTIES; POPULATION STATISTICS; TRANSPARENCY; TURBULENT FLOW;

ACCURATE; BIOAEROSOL DETECTOR; CLASS DISTRIBUTIONS; CONSISTENT; DEVELOPED MODELS; FALSE POSITIVES; FUZZY CLASSIFIERS; FUZZY CLASSIFIERS (FCS); FUZZY PARTITIONS; GENETIC FUZZY SYSTEMS; GENETIC FUZZY SYSTEMS (GFS); HEURISTIC RULES; HUMAN BEINGS.; INTERPRETABILITY; LINGUISTIC RULES; METRICS; MISCLASSIFICATION COSTS; MISCLASSIFICATION RATES; MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS; MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS (MOEAS); REASONING MECHANISMS; RULE BASEST; TRADEOFF MODELS; TRUE POSITIVES;

FUZZY LOGIC;

EID: 54049101142     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2008.01.006     Document Type: Article

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