A Marine Oil-spilling Emergency Auxiliary Decision-making System Based on Case-based Reasoning

被引：0
|
作者：
Liu, Jiandao [1 ]
Zhu, Feixiang [1 ]
Zhang, Yingjun [1 ]
Yang, Xuefeng [1 ]
机构：
[1] Dalian Maritime Univ, Coll Nav, Dalian 116026, Peoples R China
来源：
2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) | 2013年
关键词：
oil-spilling accidents; characteristic attribute; CBR; emergency decision-making;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to enhance the oil spill emergency response ability, this paper introduces the case-based reasoning (CBR) technology to improve existing solutions and presents the idea of a marine oil-spilling emergency auxiliary decision-making system based on CBR. This paper also designs a characteristic attribute hierarchical diagram for marine oil-spilling accidents. A case overall similarity algorithm with the case structural similarity and attribute similarity is used to realize the required case retrieval and matching automatically. A numerical example illustrates that the system is able to give a reasonable and scientific result, so it can help the relevant people to improve the decision-making efficiency.
引用
收藏
页码：1753 / 1757
页数：5
相关论文
共 50 条
  • [31] How to select plan in emergency decision-making? A two-stage method with case-based reasoning and prospect theory
    Zhang, Wenbo
    Chen, Xi
    Mao, Jie
    Ke, Feng
    Liang, Haiming
    [J]. APPLIED SOFT COMPUTING, 2024, 155
  • [32] The Application of Case-based Reasoning for Emergency Decision in Group Incidents
    Li, Hongxia
    Fan, Yongbin
    Li, Lingling
    [J]. 2015 4TH INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL PROTECTION (ICEEP 2015), 2015, : 3419 - 3426
  • [33] Case-Based Reasoning Decision Making in Ambient Assisted Living
    Carneiro, Davide
    Novais, Paulo
    Costa, Ricardo
    Neves, Jose
    [J]. DISTRIBUTED COMPUTING, ARTIFICIAL INTELLIGENCE, BIOINFORMATICS, SOFT COMPUTING, AND AMBIENT ASSISTED LIVING, PT II, PROCEEDINGS, 2009, 5518 : 788 - +
  • [34] A study of consumer's decision making with case-based reasoning
    Li, X
    [J]. INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2004, 39 (5-6) : 94 - 94
  • [35] A case-based reasoning reconfiguration decision support system
    Lejri, O.
    Tagina, M.
    [J]. International Review on Computers and Software, 2012, 7 (04) : 1556 - 1562
  • [36] PERFORMING THE RETRIEVE STEP IN A CASE-BASED REASONING SYSTEM FOR DECISION MAKING IN INTRUSION SCENARIOS
    Conesa, Jesus
    Ribeiro, Angela
    [J]. ICEIS 2009 : PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL AIDSS, 2009, : 343 - 346
  • [37] Combining Case-Based Reasoning and Process Mining to improve Collaborative Decision-Making in Products Design
    Berriche, Fatima-Zahra
    Zeddini, Besma
    Kadima, Hubert
    Riviere, Alain
    [J]. 2015 IEEE/ACS 12TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2015,
  • [38] Improving case-based reasoning with the aid of multi-criteria and group decision-making methods
    Maltugueva, Galina S.
    Yurin, Alexander Yu.
    [J]. 2019 42ND INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2019, : 1031 - 1036
  • [39] An Ancillary Decision-Making Method for Hydropower Station Failure Handling Based on Case-Based Reasoning and Knowledge Graph
    Li, Peng
    Zhou, Min
    Lin, Xian
    Zhou, Liangsong
    Cai, Peng
    [J]. Processes, 2024, 12 (12)
  • [40] Case-based reasoning for shipwreck emergency salvage scheme assisted decision
    Yiyang, Zou
    Zhang, Yingjun
    Lang, Kun
    Wang, Xiaohui
    [J]. OCEAN ENGINEERING, 2023, 278
12345