A new computational fuzzy time series model to forecast number of outpatient visits

2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012

Volumn , Issue , 2012, Pages

  Garg, Bindu ^a   Beg, M M Sufyan ^a   Ansari, A Q ^a  

^a JAMIA MILLIA ISLAMIA CENTRAL UNIVERSITY   (India)

Author keywords

Accuracy; Forecasting; Fuzzy Logic; Time Series

Indexed keywords

ACCURACY; ACCURATE PREDICTION; AVERAGE FORECASTING ERROR; COMPLEX TIME SERIES; DENSITY-BASED; DISCRETIZATIONS; DYNAMIC CHANGES; FORECASTING ACCURACY; FORECASTING METHODS; FORECASTING MODELS; FUZZY COMPUTING; FUZZY LOGICAL RELATIONSHIPS; FUZZY TIME SERIES; FUZZY TIME SERIES MODEL; HEALTH INSURANCE PLANS; HEALTH-CARE SYSTEM; HISTORICAL DATA; KEYPOINTS; NUMBER OF OUTPATIENT VISITS; OUT-PATIENT DATA; REALISTIC MODEL; RESOURCE UTILIZATIONS; TIME-SERIES DATA; UNIVERSE OF DISCOURSE;

COMPUTER SIMULATION; DATA PROCESSING; FUZZY LOGIC; HEALTH CARE; MEAN SQUARE ERROR; TIME SERIES;

FORECASTING;

EID: 84867735731     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAFIPS.2012.6290977     Document Type: Conference Paper

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