Research Article | OPEN ACCESS
Forecasting of Food Refrigerated Transport Power System Based on Type-2 Fuzzy Construction Phase Space
Zhu Lin
School of Water Resource and Electric Power, Qinghai University, Xining, People's Republic of China
Advance Journal of Food Science and Technology 2016 3:201-205
Received: August 5, 2015 | Accepted: September 3, 2015 | Published: May 25, 2016
Abstract
The most critical aspect of the cold chain is refrigerated transport, appropriate transport conditions can guarantee the quality of perishable foods. This study introduces the interval type-2 fuzzy logic method to reduce the prediction error, presents an interval type-2 fuzzy logic model for the time series of one hour of power load forecasting and adopted the first modeling process model structure and then use back propagation algorithm to adjust the model parameters are determined by simulation. In view of the two type of fuzzy measure the importance of system identification in the field of fuzzy in type-2, the study of type-2 fuzzy measure, proposed the axiomatic definition of the ordinary type-2 fuzzy similarity and fuzzy inclusion degree, which is intuitive understanding of people axioms.
Keywords:
Food refrigerated transport, reliability, total quantity of knowledge, Type-2 fuzzy sets,
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