Towards a fuzzy expert system on toxicological data quality assessment

Molecular Informatics

Volumn 32, Issue 1, 2013, Pages 65-78

  Yang, Longzhi ^a   Neagu, Daniel ^a   Cronin, Mark T D ^b   Hewitt, Mark ^b   Enoch, Steven J ^b   Madden, Judith C ^b   Przybylak, Katarzyna ^b  

^a UNIVERSITY OF BRADFORD   (United Kingdom)

^b LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

Author keywords

Fuzzy expert systems; in silico Modelling; Klimisch approach; Quality (reliability) assessment; REACH; Toxicological data; ToxRTool

Indexed keywords

DECISION MAKING; FUZZY SET THEORY; FUZZY SETS; LINGUISTICS; UNCERTAINTY ANALYSIS;

FUZZY-EXPERT SYSTEMS; IN-SILICO MODELS; KLIMISCH APPROACH; QUALITY (RELIABILITY) ASSESSMENT; QUALITY ASSESSMENT; QUALITY RELIABILITY; REACH; RELIABILITY ASSESSMENTS; TOXICOLOGICAL DATA; TOXRTOOL;

EXPERT SYSTEMS;

2 AMINO 6 CHLORO 4 NITROPHENOL; ACRYLIC ACID ETHYL ESTER; BENZOCAINE; NITROPHENOL; UNCLASSIFIED DRUG;

ARTICLE; CONTROLLED STUDY; EXPERIMENTATION; EXPERT SYSTEM; FUZZY SYSTEM; HUMAN; PRIORITY JOURNAL; QUALITY CONTROL; TOXICOLOGY;

EID: 84873043499     PISSN: 18681743     EISSN: 18681751     Source Type: Journal    
DOI: 10.1002/minf.201200082     Document Type: Article

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