This paper discusses on the detection of outliers by hybridizing Rough_Outlier Algorithm with Negative Association Rules. An optimization algorithm named Binary Particle Swarm Optimization is used to improve the compu...This paper discusses on the detection of outliers by hybridizing Rough_Outlier Algorithm with Negative Association Rules. An optimization algorithm named Binary Particle Swarm Optimization is used to improve the computation of Non_Reduct in order to detect outliers.By using Binary PSO algorithm, the rules generated from Rough_Outliers algorithm is optimized, giving significant outliers object detected. The detection ofoutliers process is then enhanced by hybridizing it with Negative Association Rules. Frequent and Infrequent item sets from outlier rules are generated. Results show that the hybrid Rough_Negative algorithm is able to uncover meaningful knowledge of outliers from the frequent and infrequent item sets. These knowledge can then be used by experts in their field of domain for better decision making.展开更多
模糊推理中,合成规则推理方法(compositional rule of inference, CRI)与基于贴近度的方法(similarity based approximate reasoning,SAR)都是建立在只有一种否定的经典模糊集上。针对广义模糊集GFScom(generalized fuzzy sets with con...模糊推理中,合成规则推理方法(compositional rule of inference, CRI)与基于贴近度的方法(similarity based approximate reasoning,SAR)都是建立在只有一种否定的经典模糊集上。针对广义模糊集GFScom(generalized fuzzy sets with contradictory, opposite and medium negation)具有三种否定(矛盾否定、对立否定、中介否定)的特点,对模糊推理方法 CRI的蕴含算子作了扩展。提出了具有三种否定的GFScom贴近度定义和公式,得到模糊近似推理的一种新的计算形式GSAR方法,证明了GSAR该方法具有FMP(fuzzy modus ponens)还原性。通过应用实例对比,模糊推理GSAR的新方法不仅克服了CRI方法在建立模糊关系矩阵具有主观性和随意性的不足,而且客观有效地反映了模糊推理中的3种否定信息,丰富了模糊推理的形式。展开更多
Regarding the insufficiency of existing entropy measures-based decision-making approaches,this paper presents trigonometric functions(cosine and sine functions)-based entropy measures of simplified neutrosophic sets(S...Regarding the insufficiency of existing entropy measures-based decision-making approaches,this paper presents trigonometric functions(cosine and sine functions)-based entropy measures of simplified neutrosophic sets(SNSs),including the entropy measures of single-valued neutrosophic sets(SvNSs)and interval-valued neutrosophic sets(IvNSs).Next,a decision-making(DM)approach is developed regarding the ranking method of both entropy values and positive and negative arguments in SNS setting,and then the comparative analysis with existing DM approaches based on the entropy measures of SNSs(SvNSs and IvNSs)is indicated by a numerical DM example to illustrate the effectiveness and rationality of the developed DM approach in SNS setting.Lastly,two actual DM examples are provided to indicate the practicability and sufficiency of the developed DM approach.However,this study not only enriches the simplified neutrosophic entropy measure but also enhances/improves existing DM approaches based on the entropy measures.展开更多
文摘This paper discusses on the detection of outliers by hybridizing Rough_Outlier Algorithm with Negative Association Rules. An optimization algorithm named Binary Particle Swarm Optimization is used to improve the computation of Non_Reduct in order to detect outliers.By using Binary PSO algorithm, the rules generated from Rough_Outliers algorithm is optimized, giving significant outliers object detected. The detection ofoutliers process is then enhanced by hybridizing it with Negative Association Rules. Frequent and Infrequent item sets from outlier rules are generated. Results show that the hybrid Rough_Negative algorithm is able to uncover meaningful knowledge of outliers from the frequent and infrequent item sets. These knowledge can then be used by experts in their field of domain for better decision making.
文摘模糊推理中,合成规则推理方法(compositional rule of inference, CRI)与基于贴近度的方法(similarity based approximate reasoning,SAR)都是建立在只有一种否定的经典模糊集上。针对广义模糊集GFScom(generalized fuzzy sets with contradictory, opposite and medium negation)具有三种否定(矛盾否定、对立否定、中介否定)的特点,对模糊推理方法 CRI的蕴含算子作了扩展。提出了具有三种否定的GFScom贴近度定义和公式,得到模糊近似推理的一种新的计算形式GSAR方法,证明了GSAR该方法具有FMP(fuzzy modus ponens)还原性。通过应用实例对比,模糊推理GSAR的新方法不仅克服了CRI方法在建立模糊关系矩阵具有主观性和随意性的不足,而且客观有效地反映了模糊推理中的3种否定信息,丰富了模糊推理的形式。
文摘Regarding the insufficiency of existing entropy measures-based decision-making approaches,this paper presents trigonometric functions(cosine and sine functions)-based entropy measures of simplified neutrosophic sets(SNSs),including the entropy measures of single-valued neutrosophic sets(SvNSs)and interval-valued neutrosophic sets(IvNSs).Next,a decision-making(DM)approach is developed regarding the ranking method of both entropy values and positive and negative arguments in SNS setting,and then the comparative analysis with existing DM approaches based on the entropy measures of SNSs(SvNSs and IvNSs)is indicated by a numerical DM example to illustrate the effectiveness and rationality of the developed DM approach in SNS setting.Lastly,two actual DM examples are provided to indicate the practicability and sufficiency of the developed DM approach.However,this study not only enriches the simplified neutrosophic entropy measure but also enhances/improves existing DM approaches based on the entropy measures.
