Browsing Advanced Reasoning Group by Title

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  • 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 ...
  • Price, Chris; Pugh, Dave; Snooke, Neal; Hunt, John; Wilson, Myra (1997)
    Increasing complexity of design in automotive electrical systems has been paralleled by increased demands for analysis of the safety and reliability aspects of those designs. Such demands can place a great burden on the ...
  • Zhou, Yuren; He, Jun; Nie, Qing (2009-02)
    The satisfiability problem is a basic core NP-complete problem. In recent years, a lot of heuristic algorithms have been developed to solve this problem, and many experiments have evaluated and compared the performance of ...
  • 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 ...
  • Eckerdal, Anna; Ratcliffe, Mark; McCartney, Robert; Moström, Jan Erik; Zander, Carol (2005)
    This paper examines the problem of studying and comparing student software designs. We propose semantic categorization as a way to organize widely varying data items. We describe how this was used to organize a particular ...
  • 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 ...
  • Jensen, Richard; Shen, Qiang (Wiley-Blackwell, 2008-10-17)
    Computational Intelligence and Feature Selection provides a high level audience with both the background and fundamental ideas behind feature selection with an emphasis on those techniques based on rough and fuzzy sets, ...
  • Price, Chris (Springer Verlag, 1999)
    Diagnostic systems are among the most successful applications of knowledge-based systems (KBS) technology. This is true both in terms of the number of applications built, and in terms of the benefits which such systems ...
  • 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 ...
  • Bell, Jonathan; Snooke, Neal (2004-08)
    Functional modeling languages have been used to describe processes that react to discrete external events and remain in a constant state until another such event stimulates a change in system state, and are deficient in ...
  • 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 ...
  • He, Jun; Yao, Xin (2001-03-15)
    The computational time complexity is an important topic in the theory of evolutionary algorithms (EAs). This paper reports some new results on the average time complexity of EAs. Based on drift analysis, some useful drift ...

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