Results 1 to 10 of about 228,606 (202)
Rough-fuzzy rule interpolation
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Chengyuan Chen +2 more
exaly +2 more sources
Fuzzy Logic-Based Controller for Bipedal Robot
In this paper, the problem of controlling a human-like bipedal robot while walking is studied. The control method commonly applied when controlling robots in general and bipedal robots in particular, was based on a dynamical model.
Phan Bui Khoi, Hong Nguyen Xuan
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Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems [PDF]
This paper introduces the Fast Iterative Rule-based Linguistic Classifier (FaIRLiC), a Genetic Fuzzy Rule-Based Classification System (GFRBCS) which targets at reducing the structural complexity of the resulting rule base, as well as its learning ...
DimitrisG. Stavrakoudis +3 more
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Improvement of Rule Generation Methods for Fuzzy Controller [PDF]
This paper proposes fuzzy modeling using obtained data. Fuzzy system is known as knowledge-based or rule-bases system. The most important part of fuzzy system is rule-base.
N. Mohammadkarimi, V. Derhami
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A monotone fuzzy rule relabeling (MFRR) algorithm has been introduced previously for tackling the issue of a non-monotone fuzzy rule base in the Takagi-Sugeno-Kang (TSK) Fuzzy Inference System (FIS).
Lie Meng Pang +3 more
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Detection of Fuzzy Association Rules by Fuzzy Transforms [PDF]
We present a new method based on the use of fuzzy transforms for detecting coarse-grained association rules in the datasets. The fuzzy association rules are represented in the form of linguistic expressions and we introduce a pre-processing phase to determine the optimal fuzzy partition of the domains of the quantitative attributes.
F. Di Martino, SESSA, SALVATORE
openaire +3 more sources
A New Complex Fuzzy Inference System With Fuzzy Knowledge Graph and Extensions in Decision Making
Context and Background:Complex fuzzy theory has a strong practical implication in many real-world applications. Complex Fuzzy Inference System (CFIS) is a powerful technique to overcome the challenges of uncertain, periodic data.
Luong Thi Hong Lan +6 more
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On the state estimation for nonlinear continuous-time fuzzy systems [PDF]
A large class of nonlinear systems can be represented or well approximated by Takagi- Sugeno (TS) fuzzy models, which in theory can approximate a general nonlinear system to an arbitrary degree of accuracy.
Francois Delmotte +2 more
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Filtration of Non-Monotonic Rules for Fuzzy Rule Base Compression [PDF]
This paper proposes a rule base compression method for fuzzy systems. The method is based on filtration of rules with identical linguistic values for the output that are known as non-monotonic rules.
Alexander Gegov +2 more
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f-SHOIQN:a fuzzy and non-monotonic description logic [PDF]
There is a lot of fuzzy and non-monotonic knowledge in the semantic Web,which cannot be expressed by the current description logic.Aiming at the problem,this paper adds weak negative constructor and proposes a fuzzy and non-monotonic description logic f ...
WANG Xing,ZHAO Qiaoxia,CHEN Ji,LI Jia
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