نتایج جستجو برای: fuzzy behavior

تعداد نتایج: 705763  

Journal: :International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2004
Ying-Kui Gu Hong-Zhong Huang

The contents and meanings of mapping relationships between physical domain and function domain in different design stages, such as conceptual design, detail design and enhancement design, were analyzed. According to the analysis results, the fuzzy mapping between physical domain and function domain in different design stages was established by integrating objective information and subjective in...

2015
David P. Pancho José M. Alonso Luis Magdalena

This paper shows the use of Fingrams –Fuzzy Inference-grams– aimed at unveiling graphically some hidden details in the usual behavior of the precise fuzzy modeling algorithm FURIA –Fuzzy Unordered Rule Induction Algorithm–. FURIA is recognized as one of the most outstanding fuzzy rule-based classification methods attending to accuracy. Although FURIA usually produces compact rule bases, with lo...

2015
M. Chehlabi

Fuzzy polynomial equations (FPEs) don’t have algebraic solutions, generally. In this paper, we first, express and prove some relationships between Husdroof meter and length function on classes of triangular fuzzy numbers. We appraise the behavior of fuzzy polynomials by using the length function properties. Next, we transform a FPE into a generalized fuzzy polynomial equation (GFPE) and introdu...

1997
B Fritzke

The poor scaling behavior of grid-partitioning fuzzy systems in case of increasing data dimensionality suggests using fuzzy systems with a scatter-partition of the input space. Jang has shown that zero-order Sugeno fuzzy systems are equivalent to radial basis function networks (RBFNs). Methods for nding scatter partitions for RBFNs are available, and it is possible to use them for creating scat...

2014
Nima Fouladinejad Nariman Fouladinejad J. Mohd Taib

This paper will discuss the algorithm to be implemented in the simulation of traffic flow system with the presence of the intelligent vehicles inside a microscopic traffic flow. This is possible with the introduction of the Behavior Sector to set various driving behavior of the virtual intelligent vehicles. The Behavior Sector consists of five different units, which are Route and Destination, V...

2006
Lazhar Khriji

One of the long standing challenging aspect in mobile robotics is the ability to navigate autonomously, avoiding modeled and unmodeled obstacles especially in crowded and unpredictably changing environment. A successful way of structuring the navigation task in order to deal with the problem is within behavior based navigation approaches. In this study, Issues of individual behavior design and ...

2011
Javier Murillo Serge Guillaume Elizabeth Tapia Pilar Bulacio

In multicriteria decision making, the study of attribute contributions is crucial to attain correct decisions. Fuzzy measures allow a complete description of the joint behavior of attribute subsets. However, the determination of fuzzy measures is often hard. A common way to identify fuzzy measures is HLMS (Heuristic Least Mean Squares) algorithm. In this paper, the convergence of the HLMS algor...

2015
M. Rosario Vazquez Francisco P. Romero Jorge A. Ruiz-Vanoye José Angel Olivas Jesús Serrano-Guerrero

This paper presents an extension of Fuzzy Deformable Prototypes (FDPs) based on the use of interval type-2 fuzzy sets. The aim is to improve FDPs’ capabilities for managing uncertainty and imprecision. This extension is applied to predict the academic performance of the students who make use of Web-based tutoring systems. The prediction model contains patterns of behavior that are used to deter...

2011
ZHAOJUN LI KAILASH C. KAPUR

This paper proposes a new perspective and methodology to model the behavior of the components as well as the system using the theory and methods for fuzzy sets. We propose to use the indicator or performance or substitute variable which is very well understood by the customer to fuzzify the states of the component or the system. Both component and system’s fuzzy reliability definitions and mode...

1995
E. Tunstel

Three hybrid fuzzy control schemes for robotics applications are described. The rst scheme concentrates on a control architecture which incorporates fuzzy logic theory into the framework of behavior control for mobile robot navigation. The second scheme develops a two-level hierarchical fuzzy control structure for exible manipulators. It incorporates Genetic Algorithms (GA) in a learning scheme...

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