本文利用分析哲学家摩尔(G. E. Moore)的开放问题论证(open question argument)这一思想资源,从语言分析的维度,来尝试性地揭示我们日常语言中“爱”这个概念的一般涵义。我们首先通过运用开放问题论证来说明“爱”这个概念不能用表征...本文利用分析哲学家摩尔(G. E. Moore)的开放问题论证(open question argument)这一思想资源,从语言分析的维度,来尝试性地揭示我们日常语言中“爱”这个概念的一般涵义。我们首先通过运用开放问题论证来说明“爱”这个概念不能用表征心理或生理的概念下定义,并通过发展开放问题论证的思路,揭示出“爱”的一般涵义具有应然性的特征,并进一步得到了“爱的施行应当是无欲望的关切”、“爱的施行应当符合自由的观念”等基本结论。展开更多
In this paper,we propose a novel Intrusion Detection System (IDS) architecture utilizing both the evidence theory and Rough Set Theory (RST). Evidence theory is an effective tool in dealing with uncertainty question. ...In this paper,we propose a novel Intrusion Detection System (IDS) architecture utilizing both the evidence theory and Rough Set Theory (RST). Evidence theory is an effective tool in dealing with uncertainty question. It relies on the expert knowledge to provide evidences,needing the evidences to be independent,and this make it difficult in application. To solve this problem,a hybrid system of rough sets and evidence theory is proposed. Firstly,simplification are made based on Variable Precision Rough Set (VPRS) conditional entropy. Thus,the Basic Belief Assignment (BBA) for all evidences can be calculated. Secondly,Dempster’s rule of combination is used,and a decision-making is given. In the proposed approach,the difficulties in acquiring the BBAs are solved,the correlativity among the evidences is reduced and the subjectivity of evidences is weakened. An illustrative example in an intrusion detection shows that the two theories combination is feasible and effective.展开更多
文摘本文利用分析哲学家摩尔(G. E. Moore)的开放问题论证(open question argument)这一思想资源,从语言分析的维度,来尝试性地揭示我们日常语言中“爱”这个概念的一般涵义。我们首先通过运用开放问题论证来说明“爱”这个概念不能用表征心理或生理的概念下定义,并通过发展开放问题论证的思路,揭示出“爱”的一般涵义具有应然性的特征,并进一步得到了“爱的施行应当是无欲望的关切”、“爱的施行应当符合自由的观念”等基本结论。
基金Supported by the National Natural Science Foundation of China (No. 60774029)
文摘In this paper,we propose a novel Intrusion Detection System (IDS) architecture utilizing both the evidence theory and Rough Set Theory (RST). Evidence theory is an effective tool in dealing with uncertainty question. It relies on the expert knowledge to provide evidences,needing the evidences to be independent,and this make it difficult in application. To solve this problem,a hybrid system of rough sets and evidence theory is proposed. Firstly,simplification are made based on Variable Precision Rough Set (VPRS) conditional entropy. Thus,the Basic Belief Assignment (BBA) for all evidences can be calculated. Secondly,Dempster’s rule of combination is used,and a decision-making is given. In the proposed approach,the difficulties in acquiring the BBAs are solved,the correlativity among the evidences is reduced and the subjectivity of evidences is weakened. An illustrative example in an intrusion detection shows that the two theories combination is feasible and effective.
