1995
DOI: 10.1016/s1474-6670(17)45050-6
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Hierarchical Fuzzy Controllers

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Cited by 2 publications
(3 citation statements)
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“…Horácěk et al [9] extended the Fuzzy Logic-Neural Network (FLNN) proposed by Lin et al [10] to the multistage decision case where rules are grouped and groups chained in order to get a hierarchy of decisions. Here, the objective of the hierarchy is to achieve simplification of controller design and tuning.…”
Section: A Review Of the Literature On Hierarchical Fuzzy Logic Controllersmentioning
confidence: 99%
“…Horácěk et al [9] extended the Fuzzy Logic-Neural Network (FLNN) proposed by Lin et al [10] to the multistage decision case where rules are grouped and groups chained in order to get a hierarchy of decisions. Here, the objective of the hierarchy is to achieve simplification of controller design and tuning.…”
Section: A Review Of the Literature On Hierarchical Fuzzy Logic Controllersmentioning
confidence: 99%
“…This new representation is known as Hierarchical Prioritized Structure (HPS). In (Horáček and Binder, 1997) Horáček and Binder discussed two structures of hierarchically-organized groups of rules: series and parallel hierarchies . The aim of this work is to design a nonlinear controller whose rules were transparent to the designer.…”
Section: Hierarchical Fuzzy Systemsmentioning
confidence: 99%
“…In the HFS literature a fuzzy set with two inputs and one output is known as Fuzzy Logic Unit (FLU). Depending of the connection between the FLUs in a hierarchical decomposition of a MISO-FS, we can have three main types of hierarchical models (Horáček and Binder, 1997;Kikuchi et al, 1998) as shown in Fig. 1 (although one may think of more): Serial HFS, where the inputs to the FLUs are the outputs of the previous FLUs and an external input; Parallel HFS, where the inputs to the FLUs are the outputs of two FLUs of the previous layer and Hybrid HFS.…”
Section: Hierarchical Fuzzy Systemsmentioning
confidence: 99%