Research on method of emergency cases retrieval based on case-based reasoning

被引：1

作者：

Feng, Chao ^{[1
]}

Yang, Naiding ^{[1
]}

Lei, Ting ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Dept Management Sci & Engn, Xian, Shaanxi, Peoples R China

来源：

2017 10TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL. 1 | 2017年

基金：

中国国家自然科学基金;

关键词：

emergency management; case-based reasoning; case retrieval; particle swarm optimization;

D O I：

10.1109/ISCID.2017.104

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Aiming at the problem of emergency cases retrieval, this paper proposes a method of emergency cases retrieval considering the predator behavior of birds. Based on case-based reasoning (CBR) theory, this method introduces the particle swarm optimization (PSO) algorithm and tabu search (TS) into the calculation of attribute feature weight, and then calculates the similarity between target case and historical case for finding the most similar historical case. The validity and feasibility of the proposed method are verified by the collected data.

引用

页码：83 / 86

页数：4

共 11 条

[1] Generating project risk response strategies based on CBR: A case study [J].

Fan, Zhi-Ping ;

Li, Yong-Hai ;

Zhang, Yao .

EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (06) :2870-2883

[2]

Feng Chao, 2016, Control and Decision, V31, P1526, DOI 10.13195/j.kzyjc.2015.0696

[3]

He Ran, 2005, Journal of Software, V16, P2036, DOI 10.1360/jos162036

[4]

KOLODNER JL, 1989, COGNITIVE SCI, V13, P507, DOI 10.1207/s15516709cog1304_2

[5]

Lei Xiu-juan, 2010, Application Research of Computers, V27, P453, DOI 10.3969/j.issn.1001-3695.2010.02.013

[6]

Li Yong-hai, 2014, Control and Decision, V29, P275

[7]

[李永海 Li Yonghai], 2014, [系统工程学报, Journal of Systems Engineering], V29, P21

[8]

Liang C. Y., 2014, CHINESE J MANAGEMENT, V22, P83

[9]

Ricci F., 1999, New Review of Applied Expert Systems, V5, P175

[10]

Shaw P., 2013, LATIN AM CARIBBEAN J, V6

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