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This paper presents the results of the research on modelling the variation in human decision making. The relationship between the uncertainty introduced to the membership functions (mfs) of a fuzzy logic system (FLS) and the variation in FLS's decision making is explored using two separate methods. Initially uncertainty is introduced to a type-1 FLS by(More)
In this paper, we describe the development of a type-2 Fuzzy Logic System (FLS) based expert system for Umbilical Acid-Base (UAB) assessment. The aim of this work is to develop an expert system which can adapt to an individual expert's decision making mechanism by determining the parameters that define the uncertainties of the terms used. Umbilical(More)
— In this paper a notion termed non-stationary fuzzy sets is introduced and the concept of random perturbations that can be used for generating these non-stationary fuzzy sets is also presented. A case study was carried out to investigate the relationship between the performance of non-stationary fuzzy logic systems and interval type-2 fuzzy logic systems.(More)
— This paper explains how the shape of type-2 fuzzy membership functions can be used to model the variation in human decision making. An interval type-2 fuzzy logic system (FLS) is developed for umbilical acid-base assessment. The influence of the shape of the membership functions on the variation in decision making of the fuzzy logic system is studied(More)
Fourier-transform infrared spectroscopy (FTIR) is an efficient, sensitive and computer operated technique that can detect changes in cellular composition that may reflect the onset of a disease. As such, it is being investigated as a method for automatic early detection of pre-cancerous changes. In previous work, FTIR spectral data was first empirically(More)
— Terms used in fuzzy systems are almost invariably normalised, convex and distinct. The shapes of these terms are generated by certain accepted membership functions: piecewise linear functions, Gaussians or Sigmoids are almost exclusively used. This paper extends previous work in which it was suggested that non-convex membership functions might be(More)
An investigation was carried out in which the performances of type-1 and type-2 fuzzy logic systems (FLSs) with varying number of tunable parameters were compared in their ability to predict the Mackey-Glass time series with various levels of added noise. Each of the FLSs were tuned to achieve the best possible performance using a standardised gradient(More)
The metals industry and plant equipment suppliers are constantly striving to obtain a competitive edge. Level I dynamic control products from British industry are world-class, but it is recognised that the level II supervisory control systems can be improved. This project seeks to achieve this by adopting new intelligent technologies to utilise plant(More)