摘要
针对已有的面向城市消防领域的决策系统在不确定性信息表征和逻辑推演方面存在的问题,提出一种基于非公理逻辑的多种推演模型,进而以之为核心设计并实现一种面向城市消防领域的智能决策系统。该系统包含5个功能模块:知识管理机制、领域知识库、动态数据库、推演机、用户接口。含有多重不确定性信息的火灾特征由输入部件获取后存储于动态数据库中,而后依据多种推演模型推演出城市消防救援方案。该系统已成功进行了实例验证并可为应急决策智能系统提供参考。
As the existing decision-support systems for urban firefighting field has some problems in the uncertainty information representation and logical deduction,a multi-inference model based on the non axiomatic logic is proposed,and then the intelligent decision-support system for urban firefighting field is designed and implemented by taking this model as the core. The system contains five functional modules:knowledge management mechanism,domain knowledge base,dynamic database,inference engine and user interface. The fire features with multiple uncertainty information are acquired by the input component and stored in a dynamic database,and then the urban fire rescue scheme is derived on the basis of the multiple deduction models. The system has been successfully verified by an example and can provide a reference for the emergency decision intelligence system.
作者
那孜古力·斯拉木
SILAMU Naziguli(Postdoctoral Research Station of Computer Science and Technology,Xinjiang University,Urumqi 830046,China)
出处
《现代电子技术》
北大核心
2020年第12期161-164,169,共5页
Modern Electronics Technique
基金
中国博士后科学基金资助(2018M633610)
新疆维吾尔自治区自然科学基金面上项目(2017D01C041)
新疆维吾尔自治区博士后研究人员资助(400600307)。
关键词
城市消防
智能决策系统
系统设计
数据传输
演绎推演
实例验证
urban firefighting
intelligent decision-support system
system design
data transmission
deductive inference
example verification
