Data granulation by the principles of uncertainty [PDF]
, 2015 Researches in granular modeling produced a variety of mathematical models, such as intervals, (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to characterize the so-called information granules.
Livi, Lorenzo, Sadeghian, Alireza
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Different Types of Entropy Measures for Type-2 Fuzzy Sets
AxiomsIn this work, we consider De Luca and Termini’s notion of non-probabilistic entropy, and we extend some entropy-like measures of the degree of fuzziness to type-2 fuzzy sets.
Luis Magdalena +3 more
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Realizing three generations of the Standard Model fermions in the type IIB matrix model [PDF]
, 2014 We discuss how the Standard Model particles appear from the type IIB matrix model, which is considered to be a nonperturbative formulation of superstring theory.
Aoki, Hajime +2 more
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A comparison of non-stationary, type-2 and dual surface fuzzy control [PDF]
, 2011 Type-1 fuzzy logic has frequently been used in control systems. However this method is sometimes shown to be too restrictive and unable to adapt in the presence of uncertainty.
Aickelin, Uwe +2 more
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Sistem Kendali Fuzzy Bertipe-2 Interval dengan Struktur Adaptif Beracuan Model
Journal of Mathematical and Fundamental Sciences, 2013 Adaptive fuzzy controller is a fuzzy controller that has ability to change its parameters when the plant's operating conditions vary. In this paper, design and implementation of model reference adaptive fuzzy control are presented.
Bambang Riyanto, Wakhyu Dwiono
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Time series forecasting with interval type-2 intuitionistic fuzzy logic systems [PDF]
, 2017 Conventional fuzzy time series approaches make use of type-1 or type-2 fuzzy models. Type-1 models with one index (membership grade) cannot fully handle the level of uncertainty inherent in many real world applications.
de Maere, Geert, Eyoh, Imo, John, Robert
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Chaos in the BMN matrix model [PDF]
, 2015 We study classical chaotic motions in the Berenstein-Maldacena-Nastase (BMN) matrix model. For this purpose, it is convenient to focus upon a reduced system composed of two-coupled anharmonic oscillators by supposing an ansatz. We examine three ans\"atze:
Asano, Yuhma +2 more
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Short Term Load Forecasting New Year Celebration Holiday Using Interval Type-2 Fuzzy Inference System (Case Study: Java – Bali Electrical System) [PDF]
, 2016 Celebration of New Year In the Indonesian is constituted the one of the visit Indonesian’s tourism. This event course changes the load of electrical energy.
Jamaaluddin, Jamaaluddin, Robandi, Imam
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Adaptive Type-2 Fuzzy Logic Control of a Bioreactor [PDF]
, 2010 Two adaptive type-2 fuzzy logic controllers with minimum number of rules are developed and compared by simulation for control of a bioreactor in which aerobic alcoholic fermentation for the growth of Saccharomyces cerevisiae takes place. The bioreactor
COSENZA, Bartolomeo, GALLUZZO, Mose'
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A New Fuzzy Inference Technique for Singleton Type-2 Fuzzy Logic Systems
International Journal of Advanced Robotic Systems, 2012 A new fuzzy inference technique is presented to replace the conventional fuzzy inference process of type-2 fuzzy logic systems. Because conventional type-2 fuzzy logic systems demand a large amount of memory, they cannot be used by most embedded systems,
Hwan-Joo Kwak +2 more
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