Model for predicting rainfall by fuzzy set theory using USDA scan data

Agricultural Water Management

Volumn 95, Issue 12, 2008, Pages 1350-1360

  Hasan, M ^a   Tsegaye, T ^a   Shi, X ^a   Schaefer, G ^b   Taylor, G ^c  

^a ALABAMA A AND M UNIVERSITY   (United States)

^b National Water and Climate Center   (United States)

^c OREGON STATE UNIVERSITY   (United States)

Author keywords

Fuzzy inference model; Fuzzy levels; Membership function; Production rules; Regression coefficient

Indexed keywords

ATMOSPHERIC HUMIDITY; ELECTRIC LOAD FORECASTING; FORECASTING; FUZZY SETS; GEOLOGIC MODELS; MEMBERSHIP FUNCTIONS; METEOROLOGY; MOISTURE; SET THEORY; WIND EFFECTS;

ALABAMA; FUZZY INFERENCE MODEL; FUZZY INFERENCE MODELS; FUZZY LEVELS; FUZZY SET THEORIES; FUZZY VARIABLES; NETWORK STATIONS; PRODUCTION RULES; REGRESSION COEFFICIENT; RELATIVE HUMIDITIES; SCAN DATUMS; SOIL CLIMATE ANALYSIS; WEATHER CONDITIONS; WIND SPEEDS;

FUZZY INFERENCE;

AIR TEMPERATURE; FUZZY MATHEMATICS; MODELING; PERFORMANCE ASSESSMENT; RAINFALL; RELATIVE HUMIDITY; WEATHER FORECASTING; WIND VELOCITY;

EID: 55249100939     PISSN: 03783774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agwat.2008.07.015     Document Type: Article

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