Fuzzy logic is a multi-valued logic that allows a range of truth-values between 0 (completely false) and 1 (completely true) (Klenner et al., 2010). From: Computer-Aided Applications in Pharmaceutical Technology, 2013 About this pageSet alert ...
Sign in to download hi-res image Fig. 5. A basic ANNs with four layers: an input layer, two hidden layers and an output layer. 2.4.1 Fuzzy Neural Network (FNN) FNN is an AI technique developed from the grouping of two fields, fuzzy logic and neural network. FNN detects parameters of...
You can also interactively create a FIS tree using Fuzzy Logic Designer. For an example, see Build FIS Tree Using Fuzzy Logic Designer. For more information on building a FIS at the command line, see Build Fuzzy Systems at the Command Line. ...
This paper describes the implementation of temperature controller based on fuzzy logic intended for industrial application in software and hardware platform. C++ is chosen as the software platform while VHDL is chosen as the hardware platform. The system is built of four major modules called fuzzificat...
Mathematical Fuzzy Logics [51, 60] have a long tradition with roots going back to the many-valued logics of Łukasiewicz, Gödel, and Kleene [57, 68, 73] and the Fuzzy Set Theory of Zadeh [111]. Their purpose is to model vagueness or...
Thus, only interval type-2 fuzzy logic systems are considered in the proposed Type-2 Fuzzy Logic Toolbox. Since MATLAB Fuzzy Logic Toolbox users are familiar with its windows, all the menus of the developed software are prepared in the same format of the MATLAB Fuzzy Logic Toolbox. 展开 ...
International Conference on AI Logic and Applications 295 Accesses Abstract There is a large amount of fuzzy linguistic-valued data in real life. For the complexity of fuzzy linguistic concept acquisition, in this paper, we propose a Fuzzy-classical Linguistic Concept Lattice Acquisition (FLCLC) ap...
Note: LabVIEW Base Development System does not include the PID and Fuzzy Logic Toolkit. For LabVIEW and LabWindows/CVI 2013 and earlier, the PID and Fuzzy Logic Toolkit was installed and licensed separately. For information on accessing legacy software downloads, see Download Older Versions of NI...
Sign in to download full-size image Fig. 35.74. Structure of a fuzzy logic controller. The fuzzy controller rules are usually formulated in linguistic terms. Thus, the use of linguistic variables and fuzzy sets implies the fuzzification procedure, that is, the mapping of the input variables into...
Sign in to download full-size image Figure 22.3. Structure of fuzzy neural networks. Sign in to download full-size image Figure 22.4. The position of memristor in four basic circuit elements. In general, fuzzy logic controllers are applicable to designs that are poorly understood mathematically an...