Fuzzy classification with kernel clustering for peach maturity discrimination with multi-dimensional indexes
JIANG Yiping1*, BIAN Bei1, ZHANG Zhaotong1, PAN Leiqing2, WANG Xiaochan3
1(College of Information Management,Nanjing Agricultural University,Nanjing 210095,China) 2(College of Food Science and Technology,Nanjing Agricultural University,Nanjing 210095,China) 3(College of Engineering,Nanjing Agricultural University,Nanjing 210031,China)
Abstract: Peach maturity discrimination is significant to improve the efficiency and quality of peach products. To discriminate peach maturity, a fuzzy classification with kernel clustering by using multi-dimensional indexes was proposed. Firstly, according to the trend of maturity indexes during peach growing, the juice yield, sugar degree, firmness, and weight-loss ratio indexes were selected to establish a multi-dimensional index data set. Then, the mappings between maturity indexes and stages were interval and fuzzy. The membership functions of semi-ladder and semi-ridge type were formulated by integrating data distribution and overlap degree of fuzzy regions. Finally, the entropy method was used to determine the index output weight set considering dispersions of the membership matrix. A weight index group of kernel clustering was proposed to merge information at adjacent stages, which could improve the discrimination performance of peach maturity. The results revealed that the weight of multi-dimensional indexes affecting peach maturity was Brix value, juice yield, firmness and weight-loss ratio in descending order. The proposed method could distinguish peach maturity stages with an accuracy rate of 93.75%, which realized the effective discrimination of peach four maturity stages. Compared with the traditional triangular, trapezoidal type membership functions and maximum membership principle, the accuracy rates of the proposed method have been increased by 2.08%-12.50%. The proposed method for peach maturity discrimination provides a scientific and accurate quality standard for peach food processing, which could improve food processing efficiency and ensure the quality of peach products.
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