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TFS
2008
93views more  TFS 2008»
14 years 10 months ago
Using Fuzzy Logic to Design Separation Function in Flocking Algorithms
Abstract--Flocking algorithms essentially consist of three components: alignment, cohesion, and separation. To track a desired trajectory, the flock center should move along the de...
Dongbing Gu, Huosheng Hu
FUZZIEEE
2007
IEEE
15 years 4 months ago
New Type-2 Rule Ranking Indices for Designing Parsimonious Interval Type-2 Fuzzy Logic Systems
— In this paper, we propose two novel indices for type-2 fuzzy rule ranking to identify the most influential fuzzy rules in designing type-2 fuzzy logic systems, and name them a...
Shang-Ming Zhou, Robert John, Francisco Chiclana, ...
EUSFLAT
2009
137views Fuzzy Logic» more  EUSFLAT 2009»
14 years 8 months ago
Novel Methods for the Design of General Type-2 Fuzzy Sets based on Device Characteristics and Linguistic Labels Surveys
Fuzzy Logic Systems are widely recognized to be successful at modelling uncertainty in a large variety of applications. While recently interval type-2 fuzzy logic has been credited...
Christian Wagner, Hani Hagras
ICNC
2005
Springer
15 years 3 months ago
Credit Rating Analysis with AFS Fuzzy Logic
In this paper, we propose a new machine learning approach based on AFS (Axiomatic Fuzzy Sets) fuzzy logic, in attempt to provide a better model with interpretability. First, we wil...
Xiaodong Liu, Wanquan Liu
DAC
2003
ACM
15 years 11 months ago
A hybrid SAT-based decision procedure for separation logic with uninterpreted functions
SAT-based decision procedures for quantifier-free fragments of firstorder logic have proved to be useful in formal verification. These decision procedures are either based on enco...
Sanjit A. Seshia, Shuvendu K. Lahiri, Randal E. Br...