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Browsing Advanced Reasoning Group by Issue Date

Browsing Advanced Reasoning Group by Issue Date

Now showing items 21-40 of 160

Fuzzy rules from ant-inspired computation

Shen, Qiang; Galea, Michelle (2004)

A new approach to fuzzy rule induction from historical data is presented. The implemented system - FRANTIC - is a tested on a simple classification problem against a fuzzy tree induction algorithm, a genetic algorithm, and ...
Evolutionary approaches to fuzzy modelling for classification

Shen, Qiang; Galea, Michelle (2004)

An overview of the application of evolutionary computation to fuzzy knowledge discovery is presented. This is set in one of two contexts: overcoming the knowledge acquisition bottleneck in the development of intelligent ...
Scale and move transformation-based fuzzy interpolative reasoning: A revisit

Huang, Zhiheng; Shen, Qiang (2004)

This paper generalises the previously proposed interpolative reasoning method [5] to cover interpolations involving complex polygon, Gaussian or other bell-shaped fuzzy membership functions. This can be achieved by the ...
FRANTIC - A system for inducing accurate and comprehensible fuzzy rules

Galea, Michelle; Shen, Qiang (2004)

An approach to fuzzy rule induction inspired by the foraging behaviour of ants is presented. The implemented system - FRANTIC - is tested on a real classification problem against two other fuzzy rule induction algorithms, ...
Fuzzy interpolation with generalized representative values

Shen, Qiang; Huang, Zhiheng (2004)

Fuzzy interpolative reasoning offers the potential to model problems using sparse rule bases, as opposed to dense rule bases deployed in traditional fuzzy systems. It thus supports the simplification of complex fuzzy models ...
Causality enabled compositional modelling of Bayesian networks

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, ...
Modifying weighted fuzzy subsethood-based rule models with fuzzy quantifiers

Shen, Qiang; Rasmani, Khairul (2004)

The use of fuzzy quantifiers in linguistic fuzzy models helps to build fuzzy systems that use linguistic terms in a more natural way. Although several fuzzy quantification techniques have been developed, the application ...
Subsethood-based fuzzy modelling and classification

Rasmani, Khairul; Shen, Qiang (2004)

Reasoning with fuzzy rule-based models has been widely applied to perform various real world classification tasks. The main advantage of this approach is that it supports inferences in the way people think and make judgements. ...
Scaffolding with Object Diagrams in first Year Programming Classes: Some Unexpected Results

Thomas, Lynda; Thomasson, Benjy; Ratcliffe, Mark (2004)

This paper describes a project being undertaken at the University of Wales, Aberystwyth that aims to enhance the pedagogical process through the use of collaborative design. It describes a survey that highlights dissatisfaction ...
Compositional model repositories via dynamic constraint satisfaction with order-of-magnitude preferences

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 ...
Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches

Jensen, Richard; Shen, Qiang (2004)

Semantics-preserving dimensionality reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine learning, pattern ...
Model-based systems in the automotive industry

Price, Chris; Struss, Peter (2004-01)

The automotive industry was the first to promote the development of applications of model-based systems technology on a broad scale and, as a result, has produced some of the most advanced prototypes and products. In this ...
Fault identification through the combination of symbolic conflict recognition and Markov Chain-aided belief revision

Shen, Qiang; Smith, Finlay (2004-09)

Fault identification is a search for possible behaviors that would explain the observed behavior of a physical system. During this search, different possible models are considered and information about the interaction ...
Comparing Student Software Designs Using Semantic Categorization

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 ...
Finding Rough Set Reducts with SAT.

Shen, Qiang; Tuson, Andrew; Jensen, Richard (2005)

Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine learning, pattern recognition and signal processing. ...
Iterative vs Simultaneous Fuzzy Rule Induction

Galea, Michelle; Shen, Qiang (2005)

Iterative rule learning is a common strategy for fuzzy rule induction using stochastic population-based algorithms (SPBAs) such as Ant Colony Optimisation (ACO) and genetic algorithms. Several SPBAs are run in succession ...
Fuzzy-Rough Data Reduction with Ant Colony Optimization.

Shen, Qiang; Jensen, Richard (2005)

Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine learning, pattern recognition and signal processing. ...
Encouraging Complementary Fuzzy Rules within Iterative Rule Learning

Singh, Vishal; Shen, Qiang; Galea, Michelle (2005)

Iterative rule learning is a common strategy for fuzzy rule induction using stochastic population-based algorithms (SPBAs) such as Ant Colony Optimisation and genetic algorithms. Several SPBAs are run in succession with ...
Transformation Based Interpolation with Generalized Representative Values

Shen, Qiang; Huang, Zhiheng (2005)

Fuzzy interpolation offers the potential to model problems with sparse rule bases, as opposed to dense rule bases deployed in traditional fuzzy systems. It thus supports the simplification of complex fuzzy models and ...
Probabilistic abductive computation of evidence collection strategies in crime investigation

Keppens, Jeroen; Schafer, Burkhard; Shen, Qiang (2005)

This paper presents a methodology for integrating two approaches to building decision support systems (DSS) for crime investigation: symbolic crime scenario abduction [16] and Bayesian forensic evidence evaluation [5]. ...

Now showing items 21-40 of 160

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