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Showing 1 to 5 of 5 for “"Type-2 fuzzy systems"”.

  1. Geometric Fuzzy Logic Systems

    … increase in academic interest in the field oftype-2 fuzzy sets and systems. Type-2 fuzzy systems offer the ability to model and reason with uncertain concepts. When faced with uncertainties type-2 fuzzy systems should, theoretically, give an increase in performance over type-l fuzzy systems. …

    de-montfort Repository record for Geometric Fuzzy Logic Systems (opens in a new tab)

  2. Type-2 Fuzzy Probabilistic System for Proactive Monitoring of Uncertain Data-intensive Seasonal Time Series

    This research realises a type-2 fuzzy probabilistic system for proactive monitoring of uncertain data-intensive seasonal time series in both theoretical and practical implications. In this thesis, a new form of representation, J˜-plane, is proposed for concave and unnormalized type-2 fuzzy events …

    de-montfort

  3. Type-2 Fuzzy Probabilistic System for Proactive Monitoring of Uncertain Data-intensive Seasonal Time Series

    This research realises a type-2 fuzzy probabilistic system for proactive monitoring of uncertain data-intensive time series in both theoretical and practical implications. In this thesis, a new form of representation, J-plane, is proposed for concave and un-normalized type-2 events as well as …

    de-montfort Repository record for Type-2 Fuzzy Probabilistic System for Proactive Monitoring of Uncertain Data-intensive Seasonal Time Series (opens in a new tab)

  4. Support Vector Machine-based Fuzzy Systems for Quantitative Prediction of Peptide Binding Affinity

    … real-value predictive models through the use of fuzzy systems. A non-linear system is proposed with the aid of support vector-based regression to improve the fuzzy system and applied to the real value prediction of degree of peptide binding. This research study introduced two novel methods to …

    de-montfort Repository record for Support Vector Machine-based Fuzzy Systems for Quantitative Prediction of Peptide Binding Affinity (opens in a new tab)

  5. Fuzzy Logic-based Economic Model for Water Main Renewal

    … average 63% match. To overcome the limitations, fuzzy modeling techniques were developed and applied using critical physical, spatial, and economic parameters driving pipe performance (St. Clair, 2015)(Ge 2017). The Type-2 model was trained and calibrated using nearly 37,000 break and advanced …

    vt Repository record for Fuzzy Logic-based Economic Model for Water Main Renewal (opens in a new tab)