Hybrid Intelligent Decision Support System Model for Simulation of Disaster and Weather Forecasting

被引：0

作者：

Pham, Hai V. ^{[1
]}

Kamei, Katsurari ^{[2
]}

机构：

[1] Ritsumeikan Univ, Grad Sch Sci & Engn, Soft Intelligence Lab, 1-1-1 Noji Higashi, Kusatsu, Shiga 5258577, Japan

[2] Ritsumeikan Univ, Coll Informat Sci & Engn, Kusatsu, Shiga 5258577, Japan

来源：

4TH ASIAN CONFERENCE ON INTELLIGENT GAMES AND SIMULATION - 4TH ASIAN SIMULATION TECHNOLOGY CONFERENCE | 2012年

关键词：

AI in simulation; Self-Organizing Map; Disaster Risk; Weather Forecasting; Decision Support Systems;

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：

A large number of disaster-related DSS models have been developed as part of disaster management activities involved with decision making that can handle a single model of disaster situations. Limitations of these current approaches include that they are applied in specific disaster areas with only a single function. In addition, these approaches have not aggregated expert sensibilities and preferences, weather consequences and environmental phenomena, together with real-time data sets. This paper presents a new framework integrated by DSS, called Hybrid Intelligent Decision Support Systems for disaster management by aggregating multiple expert decisions, aiming for the appropriate decision and reducing risk pre and post disasters. This framework can be used to forecast in disaster and weather in complex geological environments of a tunneling construction.

引用

页码：73 / 75

页数：3