Browsing by Author "Diao, Ren"

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  • Jin, Shangzhu; Shen, Qiang; Diao, Ren (IEEE Press, 2014)
    Fuzzy rule interpolation offers a useful means for enhancing the robustness of fuzzy models by making inference possible in sparse rule-based systems. However, in real-world applications of inter-connected rule bases, ...
  • Diao, Ren; Jin, Shangzhu; Shen, Qiang (2014)
    Fuzzy rule interpolation offers a useful means for enhancing the robustness of fuzzy models by making inference possible in systems of only a sparse rule base. However in practical applications, the rule bases provided may ...
  • Naik, Nitin Kumar; Diao, Ren; Shen, Qiang (IEEE Press, 2016)
  • Jin, Shangzhu; Diao, Ren; Shen, Qiang (IEEE Press, 2012-06)
    Fuzzy rule interpolation is well known for reducing the complexity of fuzzy models and making inference possible in sparse rule-based systems. However, in practical applications with inter-connected subsets of rules, ...
  • Jin, Shangzhu; Diao, Ren; Quek, Chai; Shen, Qiang (2014-01-29)
    Fuzzy rule interpolation offers a useful means to en- hancing the robustness of fuzzy models by making inference pos- sible in sparse rule-based systems. However, in real-world appli- cations of interconnected rule bases, ...
  • Jin, Shangzhu; Diao, Ren; Quek, Chai; Shen, Qiang (2013)
    Fuzzy rule interpolation offers a useful means for reducing the complexity of fuzzy models, more importantly, it makes inference possible in sparse rule-based systems. Backward fuzzy rule interpolation is a recently proposed ...
  • Naik, Nitin Kumar; Diao, Ren; Shen, Qiang (2015-08)
    Fuzzy rule interpolation (FRI) has been a vital reasoning tool for sparse fuzzy rule-based systems. Throughout interpolative reasoning, an FRI system may produce a large number of interpolated rules, which generally serve ...
  • Diao, Ren; Shen, Qiang (2010-09-16)
    Harmony search is a recently developed meta heuristic capable of solving discrete and continuous valued optimisation problems. However, the nature of pre-defined constant parameters limits the exploitation of the algorithm. ...
  • Diao, Ren; Shen, Qiang (2010-09)
    Harmony search is a recently developed meta heuristic capable of solving discrete and continuous valued optimisation problems. However, the nature of pre-defined constant parameters limits the exploitation of the algorithm. ...
  • Diao, Ren; MacParthaláin, Neil Seosamh; Shen, Qiang (IEEE Press, 2013)
    Various strategies have been exploited for the task of feature selection, in an effort to identify more compact and better quality feature subsets. Most existing approaches focus on selecting from a static pool of training ...
  • Zheng, Ling; Diao, Ren; Shen, Qiang (IEEE Press, 2013)
  • Shen, Qiang; Diao, Ren; Su, Pan (EasyChair, 2012-06-22)
    Many strategies have been exploited for the task of feature selection, in an effort to identify more compact and better quality feature subsets. Such techniques typically involve the use of an individual feature significance ...
  • Diao, Ren; Chao, Fei; Peng, Taoxin; Snooke, Neal; Shen, Qiang (2013-09-25)
    Classifier ensembles constitute one of the main research directions in machine learning and data mining. The use of multiple classifiers generally allows better predictive performance than that achievable with a single ...
  • Diao, Ren; Shen, Qiang (2012-12)
    Many search strategies have been exploited for the task of feature selection (FS), in an effort to identify more compact and better quality subsets. Such work typically involves the use of greedy hill climbing (HC), or ...
  • Diao, Ren (Aberystwyth UniversityComputer Science, 2014)
    Abstract Feature selection is a term given to the problem of selecting important domain attributes which are most predictive of a given outcome. Unlike other dimensionality reduction methods, feature selection approaches ...
  • Diao, Ren; Shen, Qiang (2011-09-06)
    Classifier ensembles constitute one of the main research directions in machine learning and data mining. Ensembles allow higher accuracy to be achieved which is otherwise often not achievable with a single classifier. A ...
  • Diao, Ren; Shen, Qiang (IEEE Press, 2011-09-06)
    Classifier ensembles constitute one of the main research directions in machine learning and data mining. Ensembles allow higher accuracy to be achieved which is otherwise often not achievable with a single classifier. A ...
  • Naik, Nitin Kumar; Diao, Ren; Shen, Qiang (2014)
    Fuzzy rule interpolation (FRI) is a well established area for reducing the complexity of fuzzy models and for making inference possible in sparse rule-based systems. Regardless of the actual FRI approach employed, the ...
  • Diao, Ren; Shen, Qiang (2012)
    The automated generation of feature pattern based if-then rules is essential to the success of many intelligent pattern classifiers, especially when their inference results are expected to be directly human-comprehensible. ...
  • Diao, Ren; MacParthalain, Neil; Jensen, Richard; Shen, Qiang (IEEE Press, 2014-01-01)
    Rough set theory has proven to be a useful mathematical basis for developing automated computational approaches which are able to deal with and utilise imperfect knowledge. Fuzzy-rough set theory is an extension to rough ...