Search
This Journal
This Journal
Anywhere
Quick Search in Journals
Enter words / phrases / DOI / ISBN / keywords / authors / etc
Access type:Only show content I have full access toOnly show Open Access
Advanced Search
0 My Cart
Sign in
Institutional Access

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.

Artificial IntelligenceNo Access

A Knowledge-Based System for Disaster Emergency Relief

East China Jiaotong University, Software School, Nanchang, Jiangxi 330013, P. R. China

E-mail Address: porly@126.com

Search for more papers by this author

,

East China Jiaotong University, Software School, Nanchang, Jiangxi 330013, P. R. China

E-mail Address: tingtingli_jiaoda@126.com

Search for more papers by this author

,

http://orcid.org/0000-0001-8627-3234

Institute of Intelligent Machines, CAS, Hefei 230031, P. R. China

E-mail Address: jiangqing@iim.ac.cn

Corresponding author.

Search for more papers by this author

,

Institute of Intelligent Machines, CAS, Hefei 230031, P. R. China

E-mail Address: hhuang@iim.ac.cn

Corresponding author.

Search for more papers by this author

,

Institute of Intelligent Machines, CAS, Hefei 230031, P. R. China

Search for more papers by this author

,

Zhengyong Zhang

Institute of Intelligent Machines, CAS, Hefei 230031, P. R. China

Search for more papers by this author

,

Institute of Intelligent Machines, CAS, Hefei 230031, P. R. China

Search for more papers by this author

,

Institute of Intelligent Machines, CAS, Hefei 230031, P. R. China

Search for more papers by this author

, and

School of Computer and Engineering, Shenzhen Polytechnic, ShenZhen 518055, P. R. China

Search for more papers by this author

https://doi.org/10.1142/S0218001420590387Cited by:3 (Source: Crossref)

Abstract

Natural disasters have had great impact on human beings. Emergency relief is becoming more important with the increase of the frequency and scale of humanitarian emergencies resulting from more natural disasters because of climate change. In this paper, an interesting hybrid knowledge representation method during the development of a KBS for design of emergency relief structures is presented. It encapsulates ill-structured, semi-structured and structured knowledge that is gathered from literature, human expert and even knowledge gleaned during the system development. All routine as well as cumbrous activities in the emergency relief cycle are covered. The system can provide the user with advice on preliminary plan evaluation, plan optimization, plan evaluation, plan summary and miscellaneous. It would be beneficial to the field of disaster emergency relief decision by focusing on the acquisition and organization of expert knowledge through the development of knowledge-based system.

Keywords:

References

1. Y. Amirmoezzi et al., A knowledge-based system for brain tumor segmentation using only 3D FLAIR images, Australas. Phys. Eng. Sci. Med. 42(2) (2019) 529–540. Crossref, Web of Science, Google Scholar
2. A. K. C. Beresford and S. J. Pettit , Disaster management and mitigation: A case study of logistics problems in Thailand following the Asian Tsunami, in Proc.19th NOFOMA Conf., ( Reykjavik, Iceland, 2007), pp. 121–136. Google Scholar
3. D. Bhattacharya and J. K. Ghosh , Evaluation of knowledge representation schemes as a prerequisite toward development of a knowledge-based system, J. Comput. Civil Eng. 22(6) (2008) 348–359. Crossref, Web of Science, Google Scholar
4. G. Blondet et al., A knowledge-based system for numerical design of experiments processes in mechanical engineering, Expert Syst. Appl. 122 (2019) 289–302. Crossref, Web of Science, Google Scholar
5. A. Chhabra and G. Singh , Knowledge-based modeling approach for performance measurement of parallel systems, Int. Arab J. Inf. Technol. 6(1) (2009) 77–84. Web of Science, Google Scholar
6. A. Dupont and G. Pearman, Heating up the planet: Climate change and security, Lowy Institute Paper (2006). Google Scholar
7. W. Feiwen and W. Zhonghua , The study on lighting system of urban street lamp based on DAG-SVM algorithm, J. Jiangxi Normal Univ. Nat. Sci. Ed. 41(6) (2017) 656–660. Google Scholar
8. R. Oloruntoba , A wave of destruction and the waves of relief: Issues, challenges and strategies, Disaster Prev. Manag. Int. J. 14(4) (2008) 506–521. Crossref, Google Scholar
9. J. Qing et al., Research on visualization of knowledge base based on level knowledge mode, J. Jiangxi Normal Univ. Nat. Sci. Ed. 41(2) (2017) 111–115. Google Scholar
10. R. M. Rodriguez et al., Using linguistic incomplete preference relations to cold start recommendations, Internet Res. 20(3) (2010) 296–315. Crossref, Web of Science, Google Scholar
11. B. Shuhua and K. Mingxing , Based on forest fire smoke moving object detection video stream, J. Jiangxi Normal Univ. Nat. Sci. Ed. 40(6) (2016) 644–647. Google Scholar
12. M. Trudel et al., Evaluation and optimization of a knowledge-based planning system for breast irradiation, Med. Phys. 46(6) (2019) E358–E359. Web of Science, Google Scholar
13. P. Yali et al., Research on layered-partition communication model on intelligent urban VANET, J. Jiangxi Normal Univ. Nat. Sci. Ed. 40(6) (2016) 627–634. Google Scholar

Journal cover image

Vol. 34, No. 11

Metrics

Downloaded 25 times

History

Received 17 July 2019

Accepted 29 October 2019

Published: 5 February 2020

Keywords