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Showing 1 to 5 of 5 for “"Type-2 Fuzzy Set"”.

  1. Type-2 Fuzzy Logic: Circumventing the Defuzzification Bottleneck

    Type-2 fuzzy inferencing for generalised, discretised type-2 fuzzy sets has been impeded by the computational complexity of the defuzzification stage of the fuzzy inferencing system. Indeed this stage is so complex computationally that it has come to be known as the defuzzification bottleneck. The …

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  2. An Extended Fuzzy Discrete Event System For Hiv/aids Treatment Regimen Selection

    … appeared in literature that utilized theory of fuzzy discrete event system (FDES) to capture the meaning of experts' knowledge; a form of consensus involving estimated points and type-1 fuzzy sets. The goal was to assign exact matching regimens as close as possible to those regimens preferred by …

    wayne-thes Repository record for An Extended Fuzzy Discrete Event System For Hiv/aids Treatment Regimen Selection (opens in a new tab)

  3. Type-2 Fuzzy Alpha-cuts

    Systems that utilise type-2 fuzzy sets to handle uncertainty have not been implemented in real world applications unlike the astonishing number of applications involving standard fuzzy sets. The main reason behind this is the complex mathematical nature of type-2 fuzzy sets which is the source of …

    de-montfort Repository record for Type-2 Fuzzy Alpha-cuts (opens in a new tab)

  4. The Quantification of Perception Based Uncertainty Using R-fuzzy Sets and Grey Analysis

    … From these models, it was decided that an R-fuzzy approach would provide for the most ideal foundation from which to enhance and expand upon. An R-fuzzy set can be seen as a relatively new model, one which itself is an extension to fuzzy set theory. It makes use of a lower and upper …

    de-montfort Repository record for The Quantification of Perception Based Uncertainty Using R-fuzzy Sets and Grey Analysis (opens in a new tab)

  5. Analysis and Applications of the Km Algorithm in Type-2 Fuzzy Logic Control and Decision Making

    Interval type-2 (IT2) fuzzy logic controller (FLC) is an extension of type-1 (T1) FLC. A large number of experiments have demonstrated that the IT2 FLC can produce more satisfactory performance. However, there has been no rigorous theoretical analysis studying the potential advantage of the IT2 …

    nus Repository record for Analysis and Applications of the Km Algorithm in Type-2 Fuzzy Logic Control and Decision Making (opens in a new tab)