Developing a fuzzy bicluster regression to estimate heat tolerance in plants by chlorophyll fluorescence

IEEE Transactions on Fuzzy Systems

Volumn 17, Issue 3, 2009, Pages 485-504

  Chang, Pin Teng ^a   Lin, Kuo Ping ^b   Lin, Chih Sheng ^a   Hung, Kuo Chen ^c   Hung, Lung Ting ^a   Hsu, Ban Dar ^d  

^a TUNGHAI UNIVERSITY   (Taiwan)

^b LUNGHWA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^c NATIONAL DEFENSE UNIVERSITY   (Taiwan)

^d NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

Chlorophyll fluorescence; Fuzzy bicluster regression (FBCR); Fuzzy c regression models; Fuzzy set theory; Genetic algorithms; Heat tolerance of plants

Indexed keywords

CHLOROPHYLL FLUORESCENCE; CONVENTIONAL METHODS; DATA CLUSTERS; FUNCTIONAL CHANGES; FUZZY BICLUSTER REGRESSION (FBCR); FUZZY C-REGRESSION MODELS; FUZZY INTERSECTIONS; FUZZY REGRESSIONS; HEAT TOLERANCE; HEAT TOLERANCE OF PLANTS; IN-PLANT; LINEAR MODEL; LINEAR REGRESSION MODELS; NONLINEAR TOLERANCE; PLANT SPECIES; STATISTICAL REGRESSION; TEMPERATURE CURVES; TEMPERATURE DATA; UNCERTAIN FACTORS;

CHLOROPHYLL; FLUORESCENCE; FUZZY CLUSTERING; FUZZY SETS; GENETIC ALGORITHMS; INTERSECTIONS; METAL ANALYSIS; PHOTOSYNTHESIS; PORPHYRINS; STATISTICS; UNCERTAINTY ANALYSIS;

REGRESSION ANALYSIS;

EID: 67149122020     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2008.924216     Document Type: Article

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