### Abstract

In this paper, a novel integrated algorithm of Choquet integral with respect to Liu's generalized Lambda-measure and Hurst exponent was proposed, it can be used for predicting the temperature of thermos table proteins on some useful physicochemical quantities of each amino symbolic sequence with different lengths. A real data set of the temperature of thermos table proteins with 5-fold cross-validation MSE is conducted, for comparing the performances of the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to six measures, P-measure, ?-measure, L-measure, extensional L-measure, generalized L-measure and Liu, s generalized Lambda-measure, respectively, and two traditional regression model, multiple regression model and ridge regression model, the results show that the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to Liu's generalized Lambda-measure has the best performance.

Original language | English |
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Title of host publication | Proceedings - 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012 |

Pages | 90-95 |

Number of pages | 6 |

DOIs | |

Publication status | Published - 2012 May 24 |

Event | 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012 - Taipei, Taiwan Duration: 2012 Mar 26 → 2012 Mar 29 |

### Other

Other | 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012 |
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Country | Taiwan |

City | Taipei |

Period | 12-03-26 → 12-03-29 |

### Fingerprint

### All Science Journal Classification (ASJC) codes

- Biotechnology
- Computer Science Applications

### Cite this

*Proceedings - 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012*(pp. 90-95). [6189635] https://doi.org/10.1109/ISBAST.2012.32

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*Proceedings - 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012.*, 6189635, pp. 90-95, 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012, Taipei, Taiwan, 12-03-26. https://doi.org/10.1109/ISBAST.2012.32

**An integrated algorithm of Liu's generalized Lambda-measure based Choquet integral and hurst exponent.** / Liu, Hsiang Chuan; Tsai, Hsien-Chang; Cheng, Yu Ting; Yu, Yen Kuei.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - An integrated algorithm of Liu's generalized Lambda-measure based Choquet integral and hurst exponent

AU - Liu, Hsiang Chuan

AU - Tsai, Hsien-Chang

AU - Cheng, Yu Ting

AU - Yu, Yen Kuei

PY - 2012/5/24

Y1 - 2012/5/24

N2 - In this paper, a novel integrated algorithm of Choquet integral with respect to Liu's generalized Lambda-measure and Hurst exponent was proposed, it can be used for predicting the temperature of thermos table proteins on some useful physicochemical quantities of each amino symbolic sequence with different lengths. A real data set of the temperature of thermos table proteins with 5-fold cross-validation MSE is conducted, for comparing the performances of the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to six measures, P-measure, ?-measure, L-measure, extensional L-measure, generalized L-measure and Liu, s generalized Lambda-measure, respectively, and two traditional regression model, multiple regression model and ridge regression model, the results show that the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to Liu's generalized Lambda-measure has the best performance.

AB - In this paper, a novel integrated algorithm of Choquet integral with respect to Liu's generalized Lambda-measure and Hurst exponent was proposed, it can be used for predicting the temperature of thermos table proteins on some useful physicochemical quantities of each amino symbolic sequence with different lengths. A real data set of the temperature of thermos table proteins with 5-fold cross-validation MSE is conducted, for comparing the performances of the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to six measures, P-measure, ?-measure, L-measure, extensional L-measure, generalized L-measure and Liu, s generalized Lambda-measure, respectively, and two traditional regression model, multiple regression model and ridge regression model, the results show that the integrated algorithm of Hurst exponent and Choquet integral regression model with respect to Liu's generalized Lambda-measure has the best performance.

UR - http://www.scopus.com/inward/record.url?scp=84862065418&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84862065418&partnerID=8YFLogxK

U2 - 10.1109/ISBAST.2012.32

DO - 10.1109/ISBAST.2012.32

M3 - Conference contribution

AN - SCOPUS:84862065418

SN - 9780769546964

SP - 90

EP - 95

BT - Proceedings - 2012 International Symposium on Biometrics and Security Technologies, ISBAST 2012

ER -