Emergency decision-making case base system for river region based on CBR-AHP

Liang Guo; Ying Liu; Peng Wang; Xianlin Meng; Jiping Jiang; Yi Wang; Zheng Kuang; Qijun Dai; Hanbai Sun

doi:10.1109/ICEET.2009.369

Emergency decision-making case base system for river region based on CBR-AHP

Liang Guo^*
, Ying Liu
, Peng Wang
, Xianlin Meng
, Jiping Jiang
, Yi Wang
, Zheng Kuang
, Qijun Dai
, Hanbai Sun

^*Corresponding author for this work

School of Ecology and Environment

Harbin Institute of Technology
School of Computer Science and Technology, Harbin Institute of Technology

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

4 Scopus citations

Abstract

To enhance the response capacity to the fatal pollution events of river region, an emergency decision-making case base system based on Case-Based Reasoning (CBR)/ Rule-Based Reasoning Technology (RBR) and Analytic Hierarchy Process (AHP) is developed. The fatal pollution events of river region during the past ten years are counted and analyzed from the perspectives of number and reasons. (i)The AHP is used to develop the pollution event of river region evaluation index system, (ii) The case standard model is given by frame knowledge representation, (iii) The efficiency of case-matching algorithm is increased by improving the Nearest Neighbor Search Algorithm and (iv) at last an emergency decision-making case base system is structured. Study shows that the design of the emergency decision-making case base system combining artificial intelligence (AI) technology CBR/RBR and AHP can significantly improve the timeliness of emergency decision-making to the fatal pollution event of river region.

Original language	English
Title of host publication	2009 International Conference on Energy and Environment Technology, ICEET 2009
Pages	539-542
Number of pages	4
DOIs	https://doi.org/10.1109/ICEET.2009.369
State	Published - 2009
Event	2009 International Conference on Energy and Environment Technology, ICEET 2009 - Guilin, China Duration: 16 Oct 2009 → 18 Oct 2009

Publication series

Name	2009 International Conference on Energy and Environment Technology, ICEET 2009
Volume	2

Conference

Conference	2009 International Conference on Energy and Environment Technology, ICEET 2009
Country/Territory	China
City	Guilin
Period	16/10/09 → 18/10/09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Keywords

CBR-AHP
Emergency decision-making for environment pollution events
Environmental pollution case base
Matching algorithm

Access to Document

10.1109/ICEET.2009.369

Cite this

Guo, L., Liu, Y., Wang, P., Meng, X., Jiang, J., Wang, Y., Kuang, Z., Dai, Q., & Sun, H. (2009). Emergency decision-making case base system for river region based on CBR-AHP. In 2009 International Conference on Energy and Environment Technology, ICEET 2009 (pp. 539-542). Article 5364662 (2009 International Conference on Energy and Environment Technology, ICEET 2009; Vol. 2). https://doi.org/10.1109/ICEET.2009.369

@inproceedings{d35ebb1568d94fd49c815b913b068555,

title = "Emergency decision-making case base system for river region based on CBR-AHP",

abstract = "To enhance the response capacity to the fatal pollution events of river region, an emergency decision-making case base system based on Case-Based Reasoning (CBR)/ Rule-Based Reasoning Technology (RBR) and Analytic Hierarchy Process (AHP) is developed. The fatal pollution events of river region during the past ten years are counted and analyzed from the perspectives of number and reasons. (i)The AHP is used to develop the pollution event of river region evaluation index system, (ii) The case standard model is given by frame knowledge representation, (iii) The efficiency of case-matching algorithm is increased by improving the Nearest Neighbor Search Algorithm and (iv) at last an emergency decision-making case base system is structured. Study shows that the design of the emergency decision-making case base system combining artificial intelligence (AI) technology CBR/RBR and AHP can significantly improve the timeliness of emergency decision-making to the fatal pollution event of river region.",

keywords = "CBR-AHP, Emergency decision-making for environment pollution events, Environmental pollution case base, Matching algorithm",

author = "Liang Guo and Ying Liu and Peng Wang and Xianlin Meng and Jiping Jiang and Yi Wang and Zheng Kuang and Qijun Dai and Hanbai Sun",

year = "2009",

doi = "10.1109/ICEET.2009.369",

language = "英语",

isbn = "9780769538198",

series = "2009 International Conference on Energy and Environment Technology, ICEET 2009",

pages = "539--542",

booktitle = "2009 International Conference on Energy and Environment Technology, ICEET 2009",

note = "2009 International Conference on Energy and Environment Technology, ICEET 2009 ; Conference date: 16-10-2009 Through 18-10-2009",

}

Guo, L, Liu, Y, Wang, P, Meng, X, Jiang, J, Wang, Y, Kuang, Z, Dai, Q & Sun, H 2009, Emergency decision-making case base system for river region based on CBR-AHP. in 2009 International Conference on Energy and Environment Technology, ICEET 2009., 5364662, 2009 International Conference on Energy and Environment Technology, ICEET 2009, vol. 2, pp. 539-542, 2009 International Conference on Energy and Environment Technology, ICEET 2009, Guilin, China, 16/10/09. https://doi.org/10.1109/ICEET.2009.369

Emergency decision-making case base system for river region based on CBR-AHP. / Guo, Liang; Liu, Ying; Wang, Peng et al.
2009 International Conference on Energy and Environment Technology, ICEET 2009. 2009. p. 539-542 5364662 (2009 International Conference on Energy and Environment Technology, ICEET 2009; Vol. 2).

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

TY - GEN

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AU - Guo, Liang

AU - Liu, Ying

AU - Wang, Peng

AU - Meng, Xianlin

AU - Jiang, Jiping

AU - Wang, Yi

AU - Kuang, Zheng

AU - Dai, Qijun

AU - Sun, Hanbai

PY - 2009

Y1 - 2009

N2 - To enhance the response capacity to the fatal pollution events of river region, an emergency decision-making case base system based on Case-Based Reasoning (CBR)/ Rule-Based Reasoning Technology (RBR) and Analytic Hierarchy Process (AHP) is developed. The fatal pollution events of river region during the past ten years are counted and analyzed from the perspectives of number and reasons. (i)The AHP is used to develop the pollution event of river region evaluation index system, (ii) The case standard model is given by frame knowledge representation, (iii) The efficiency of case-matching algorithm is increased by improving the Nearest Neighbor Search Algorithm and (iv) at last an emergency decision-making case base system is structured. Study shows that the design of the emergency decision-making case base system combining artificial intelligence (AI) technology CBR/RBR and AHP can significantly improve the timeliness of emergency decision-making to the fatal pollution event of river region.

AB - To enhance the response capacity to the fatal pollution events of river region, an emergency decision-making case base system based on Case-Based Reasoning (CBR)/ Rule-Based Reasoning Technology (RBR) and Analytic Hierarchy Process (AHP) is developed. The fatal pollution events of river region during the past ten years are counted and analyzed from the perspectives of number and reasons. (i)The AHP is used to develop the pollution event of river region evaluation index system, (ii) The case standard model is given by frame knowledge representation, (iii) The efficiency of case-matching algorithm is increased by improving the Nearest Neighbor Search Algorithm and (iv) at last an emergency decision-making case base system is structured. Study shows that the design of the emergency decision-making case base system combining artificial intelligence (AI) technology CBR/RBR and AHP can significantly improve the timeliness of emergency decision-making to the fatal pollution event of river region.

KW - CBR-AHP

KW - Emergency decision-making for environment pollution events

KW - Environmental pollution case base

KW - Matching algorithm

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U2 - 10.1109/ICEET.2009.369

DO - 10.1109/ICEET.2009.369

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SN - 9780769538198

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BT - 2009 International Conference on Energy and Environment Technology, ICEET 2009

T2 - 2009 International Conference on Energy and Environment Technology, ICEET 2009

Y2 - 16 October 2009 through 18 October 2009

ER -

Emergency decision-making case base system for river region based on CBR-AHP

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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