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Zhu X.,CAS Institute of Policy and Management | Zhu X.,University of Chinese Academy of Sciences | Li J.,CAS Institute of Policy and Management | Wu D.,CAS Institute of Policy and Management | And 3 more authors.
Knowledge-Based Systems | Year: 2013

Accuracy, complexity and interpretability are very important in credit classification. However, most approaches cannot perform well in all the three aspects simultaneously. The objective of this study is to put forward a classification approach named C-TOPSIS that can balance the three aspects well. C-TOPSIS is based on the rationale of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). TOPSIS is famous for reliable evaluation results and quick computing process and it is easy to understand and use. However, it is a ranking approach and three challenges have to be faced for modifying TOPSIS into a classification approach. C-TOPSIS works out three strategies to overcome the challenges and retains the advantages of TOPSIS. So C-TOPSIS is deduced to have reliable classification results, high computational efficiency and ease of use and understanding. Our findings in the experiment verify the advantages of C-TOPSIS. In comparison with 7 popular approaches on 2 widely used UCI credit datasets, C-TOPSIS ranks 2nd in accuracy, 1st in complexity and is in 1st rank in interpretability. Only C-TOPSIS ranks among the top 3 in all the three aspects, which verifies that C-TOPSIS can balance accuracy, complexity and interpretability well. © 2013 Elsevier B.V. All rights reserved. Source


Liu L.,Nanjing University of Science and Technology | Zhu C.,Nanjing University of Science and Technology | Fan M.,Nanjing University of Science and Technology | Chen C.,Nanjing University of Science and Technology | And 5 more authors.
Nanoscale | Year: 2015

Nowadays, biologically oxidizing graphitic materials is of great importance for practical applications as an eco-friendly and low-cost method. In this work, a bacterial strain is isolated from the contaminated soil in a graphite mine and its ability to oxidize graphite, graphene oxide (GO) and reduced graphene oxide (RGO) is confirmed. After being cultivated with bacteria, graphite is inhomogeneously oxidized, and moreover oxidized sheets exfoliated from graphite are detected in the medium. RGO shows a higher degree of oxidation compared to graphite owing to more original defects, while GO breaks into small pieces and becomes full of holes. Both the holes in GO and the exfoliated sheets from graphite caused by bacteria have a size of below 1 μm, in agreement with the size of bacterial cells. Besides, the preliminary mechanism of the bacterial oxidation is explored, suggesting that the contact between bacterial cells and materials promotes the oxidation of graphitic materials. The ability of naphthalene-degrading bacteria to oxidize and degrade the graphitic materials shows the potential for producing GO in an eco-friendly way and degrading carbon nanomaterials in the environment. This journal is © The Royal Society of Chemistry. Source


Xie Y.,CAS Dalian Institute of Chemical Physics | Xie Y.,University of Chinese Academy of Sciences | Chen P.,CAS Dalian Institute of Chemical Physics | Hua L.,CAS Dalian Institute of Chemical Physics | And 4 more authors.
Journal of the American Society for Mass Spectrometry | Year: 2016

The specific locations of the double bonds in linear olefins can facilitate olefin catalytic synthetic reactions to improve the quality of target olefin products. We developed a simple and efficient approach based on single photon ionization time-of-flight mass spectrometry (SPI-TOFMS) combined with online ozonolysis to identify and quantify the linear olefin double bond positional isomers. The online ozonolysis cleaved the olefins at the double bond positions that led to formation of corresponding characteristic aldehydes. The aldehydes were then detected by SPI-TOFMS to achieve unique spectrometric "fingerprints" for each linear olefin to successfully identify the isomeric ones. To accurately quantify the isomeric components in olefin mixtures, an algorithm was proposed to quantify three isomeric olefin mixtures based on characteristic ion intensities and their equivalent ionization coefficients. The relative concentration errors for the olefin components were lower than 2.5% while the total analysis time was less than 2 min. These results demonstrate that the online ozonolysis SPI-TOFMS has the potential for real-time monitoring of catalytic olefin synthetic reactions. © 2015 American Society for Mass Spectrometry. Source


Peng J.-T.,Hubei University | Wang H.-Y.,Jiangsu Province Institute of Quality and Safety Engineering | Jiang A.,Jiangsu Province Institute of Quality and Safety Engineering | Xie Q.-W.,CAS Institute of Automation | Wang H.-S.,Jiangsu Province Institute of Quality and Safety Engineering
International Conference on Wavelet Analysis and Pattern Recognition | Year: 2012

A quantitative calibration model for Infrared spectroscopy using continuous wavelet transform combined with genetic algorithm is presented in this paper. We propose three scale selection methods in continuous wavelet transform and provide the comparisons with the general preprocessing methods. Experimental results show that selectively combining scales results in a quantitative model with better performance than that of either a regression model trained on the original data or developed on the pretreatment spectra, which demonstrates the applicability of the wavelet transform as a simple preprocessing step that can improve predict performance. Moreover, genetic algorithm on the wavelet transformed spectra can further improve the calibration model. © 2012 IEEE. Source


Meng X.-L.,Nanjing University of Finance and Economics | Wang H.-Y.,Jiangsu Province Institute of Quality and Safety Engineering | Tang R.,Jiangsu Province Institute of Quality and Safety Engineering | Yin X.-H.,Nanjing University of Finance and Economics
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | Year: 2014

For conflict problem on multi-agent collaboration of food quality chain, a method on conflict resolution is proposed based on negotiation. Firstly, essence of quality chain conflict is defined mathematically based on Pareto optimum solution. Secondly, profit models for food manufacturer, food supplier and food quality chain are proposed fully considering characteristic of food quality chain. Thirdly, procedure parameters for bargaining between both sides in conflict are determined as follows: quality level provided by food supplier, and the level of quality testing provided by food manufacturer according to cost and quality level of the other side. Negotiation procedure is constructed according to the goal of maximizing profits for both sides. Finally, an illustrative example for quality chain of dairy products is given. The results indicate that, not only each enterprise member but also the whole quality chain gains the greatest profits using the proposed negotiation strategy, thereby solving conflict of food quality chain and improving quality level of food quality chain. ©, 2014, Systems Engineering Society of China. All right reserved. Source

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