摘要
针对现有面向智能系统的智能化水平评估方法存在的粗粒度评估、泛用性差、不可解释等不足,提出一种基于深度双基点模糊推理的系统智能化水平评估方法。该方法提出一套通用的智能化水平评估指标体系,并基于该指标体系搭建深度双基点模型,该模型首先根据多个维度的细粒度指标生成初步综合评价,随后使用自适应模糊推理网络进行模糊计算,最终输出智能化水平。该模型采用定性评估与定量评估相结合的评估策略,融合专家知识和模糊推理方法,使得评估结果具有可解释性且模型具有较强的泛用性。针对不同的信息系统,基于所提出的智能化水平评估指标体系,使用相关数据及相关领域的专家知识进行实验验证,结果表明所提出的评估方法能够稳定地进行智能化水平评估,评估结果可解释且评估模型具有良好的泛用性。所提出方法能够为大数据及人工智能系统的智能化水平评估提供方法和参考。
In order to improve the shortcomings of the existing intelligent level evaluation methods for intelligent systems,including coarse-grained evaluation,poor generality,inexplicability,etc.,this paper proposes a system intelligence level evaluation method based on deep-TOPSIS with FIS.This method proposes a general intelligence level evaluation index system and builds a deep TOPSIS based on the index system.The model firstly generates a preliminary comprehensive evaluation based on fine-grained indicators of multiple dimensions,then uses an ANFIS to perform fuzzy calculations,and finally outputs the intelligence level.The model adopts an evaluation strategy combining qualitative evaluation and quantitative evaluation with an integration of expert knowledge and fuzzy inference,which makes the evaluation results interpretable and the model strongly generalized.For different information systems,this paper conducts experiments based on the proposed intelligence level evaluation index system,relevant data,and expert knowledge.The results show that the method can stably evaluate the intelligence level,the evaluation results are interpretable and the evaluation model has good generality.The proposed method can provide solutions and references for the evaluation of the intelligence level of big data and artificial intelligence systems.
作者
汪霜玲
李宇飞
黄凯鹏
易侃
朱先强
WANG Shuangling;LI Yufei;HUANG Kaipeng;YI Kan;ZHU Xianqiang(Key Laboratory of Information System Engineering,Nanjing 210007,China;The 28th Research Institute,China Electronics Technology Group Corporation,Nanjing 210007,China;School of Computer Science and Technology,Xidian University,Xi’an 710071,China;Key Laboratory of Information System Engineering,National University of Defense Technology,Changsha Hunan 410073,China)
出处
《兵器装备工程学报》
CAS
CSCD
北大核心
2023年第1期196-203,共8页
Journal of Ordnance Equipment Engineering
基金
信息系统工程重点实验室开放基金项目(05202001)。
关键词
信息系统
智能化
评估方法
模糊推理
双基点法
intelligent system
intelligence
assessment method
fuzzy inference
TOPSIS
