Browsing Cyfrifiadureg / Computer Science by Author "Shen, Qiang"

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  • Yang, Longzhi; Shen, Qiang (2011-12-12)
    Fuzzy interpolative reasoning strengthens the power of fuzzy inference by the enhancement of the robustness of fuzzy systems and the reduction of the systems’ complexity. However, after a series of interpolations, it is ...
  • Shen, Qiang; Yang, Longzhi (2010-07)
    Adaptive fuzzy interpolation strengthens the potential of fuzzy interpolative reasoning owning to its efficient identification and correction of defective interpolated rules during the interpolation process [11]. This ...
  • Shen, Qiang; Shang, Changjing (2006)
    This paper presents an application of supervised machine learning approaches to the classification of the yeast S. cerevisiae gene expression data. Established feature selection techniques based on information gain ranking ...
  • Shen, Qiang; Jensen, Richard (2008-04-01)
    This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valued nature of the domain features, unlike ...
  • Jensen, Richard; Shen, Qiang (2009-12)
    A recent TRANSACTIONS ON FUZZY SYSTEMS paper proposing a new fuzzy-rough feature selector (FRFS) has claimed that the more attributes remain in datasets, the better the approximations and hence resulting models. [Tsang et ...
  • Shen, Qiang; Keppens, Jeroen (2004)
    Probabilistic abduction extends conventional symbolic abductive reasoning with Bayesian inference methods. This allows for the uncertainty underlying implications to be expressed with probabilities as well as assumptions, ...
  • Boongoen, Tossapon; Shen, Qiang (2008-06-01)
    Aggregation operators are crucial to integrating diverse decision makers' opinion. While minimum and maximum can represent optimistic and pessimistic extremes, an Ordered Weighted Aggregation (OWA)operator is able to reflect ...
  • MacParthaláin, Neil Seosamh; Shen, Qiang; Jensen, Richard (2006-09-04)
    Feature Selection (FS) methods based on fuzzy-rough set theory (FRFS) have employed the dependency function to guide the FS process with much success. More recently a method has been developed which uses fuzzy-entropy ...
  • Shen, Qiang; Lee, Mark; Keppens, Jeroen (2005)
    Despite increasing interest in the development of intelligent techniques to aid in the prevention and detection of crime, an important issue that has not yet been addressed by existing work is the use of knowledge based ...
  • Keppens, Jeroen; Shen, Qiang; Price, Christopher John (2011-08-01)
    As forensic science and forensic statistics become increasingly sophisticated, and judges and juries demand more timely delivery of more convincing scientific evidence, crime investigation is becoming progressively more ...
  • Shen, Qiang; Keppens, Jeroen (2004)
    The predominant knowledge-based approach to automated model construction, compositional modelling, employs a set of models of particular functional components. Its inference mechanism takes a scenario describing the ...
  • Shen, Qiang; Zhao, Ruiqing (2010-08-30)
    This paper presents an extension of the assumption-based truth maintenance system (ATMS), called “credibilistic ATMS,” which has the capability to cope with uncertain justifications and assumptions. Such justifications and ...
  • Shen, Qiang; Jensen, Richard (IGI Global, 2008)
    Data reduction is an important step in knowledge discovery from data. The high dimensionality of databases can be reduced using suitable techniques, depending on the requirements of the data mining processes. These techniques ...
  • Shen, Qiang; Rasmani, Khairul A. (2006-12)
    Several approaches using fuzzy techniques have been proposed to provide a practical method for evaluating student academic performance. However, these approaches are largely based on expert opinions and are difficult to ...
  • Shen, Qiang; Boongoen, Tossapon (2008-07-17)
    Combating identity fraud is prominent and urgent since false identity has become the common denominator of all serious crime. Typical approaches to detecting false identity rely on the similarity measure of text-based ...
  • 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. ...
  • Boongoen, Tossapon; Shen, Qiang; Price, Christopher John (2010-03-01)
    Combating the identity problem is crucial and urgent as false identity has become a common denominator of many serious crimes, including mafia trafficking and terrorism. Without correct identification, it is very difficult ...
  • MacParthaláin, Neil Seosamh; Shen, Qiang; Jensen, Richard (2010-03-01)
    Feature Selection (FS) or Attribute Reduction techniques are employed for dimensionality reduction and aim to select a subset of the original features of a dataset which are rich in the most useful information. The benefits ...
  • Shen, Qiang; MacParthaláin, Neil Seosamh; Jensen, Richard (2007-07-23)
    Feature Selection (FS) is a technique for dimensionality reduction. Its aims are to select a subset of the original features of a dataset which are rich in the most useful information. The benefits include improved data ...
  • Barnes, David Preston; Shang, Changjing; Shen, Qiang (2009)
    This paper presents a novel study of the classification of large-scale Mars McMurdo panorama image. Three dimensionality reduction techniques, based on fuzzy-rough sets, information gain ranking, and principal component ...

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