نتایج جستجو برای: three fuzzy inference methods

تعداد نتایج: 3001771  

Journal: :PloS one 2016
Jinjun Tang Yajie Zou John Ash Shen Zhang Fang Liu Yinhai Wang

Travel time is an important measurement used to evaluate the extent of congestion within road networks. This paper presents a new method to estimate the travel time based on an evolving fuzzy neural inference system. The input variables in the system are traffic flow data (volume, occupancy, and speed) collected from loop detectors located at points both upstream and downstream of a given link,...

Journal: :CoRR 2000
Nedra Mellouli Bernadette Bouchon-Meunier

This paper proposes two kinds of fuzzy abductive inference in the framework of fuzzy rule base. The abductive inference processes described here depend on the semantic of the rule. We distinguish two classes of interpretation of a fuzzy rule, certainty generation rules and possible generation rules. In this paper we present the architecture of abductive inference in the first class of interpret...

Journal: :JCP 2009
Shun Kato Itsuki Shinomiya Fumihiko Mori Naotoshi Sugano

The present study considers a fuzzy color system in which three membership functions are constructed on the RGB color triangle. This system can process a fuzzy input (as the membership values of subjects) to an RGB system and output the center of gravity of three weights associated with respective grades. Three membership functions are applied to the RGB color triangle relationship. By treating...

2011
Mohammad Saber Iraji

In this paper, an efficient and accurate method for tomatoes sorting will proposed. first we extract features from inputted tomato image and then accurate and appropriate decision on Classification tomatoes using fuzzy the mamdani inference, adaptive fuzzy neural network (anfis) methods for each of that image. In our proposed system adaptive fuzzy neural network (anfis) has less error and syste...

2015
Dan E. Tamir Naphtali Rishe Abraham Kandel

Fuzzy Logic, introduced by Zadeh along with his introduction of fuzzy sets, is a continuous multi-valued logic system. Hence, it is a generalization of the classical logic and the classical discrete multi-valued logic (e.g. Łukasiewicz’ three/many-valued logic). Throughout the years Zadeh and other researches have introduced extensions to the theory of fuzzy setts and fuzzy logic. Notable exten...

2008
ANNA WALASZEK-BABISZEWSKA

This paper presents a proposition of the knowledge representation and the inference procedure including two types of uncertainty: probabilistic and fuzzy. Added weights to the fuzzy rule-based model state probabilities of fuzzy events in antecedents and consequents. The exemplary calculations are presented. Key-Words: Fuzzy sets, Knowledge representation, Inference procedure, Probability of fuz...

2004
Keeley A. Crockett Zuhair Bandar David McLean

When designing any type of fuzzy rule based system, considerable effort is placed in identifying the correct number of fuzzy sets and the fine tuning of the corresponding membership functions. Once a rule base has been formulated a fuzzy inference strategy must be applied in order to combine grades of membership. Considerable time and effort is spent trying to determine the number of fuzzy sets...

2006
Martin Štěpnička Lenka Nosková

Systems of fuzzy relation equations are considered as models of fuzzy inference systems. A proper use of an inference mechanism connected to a fuzzy relation modelling a fuzzy rule base is certified by keeping the fundamental interpolation condition. The paper aims at new solutions of systems of fuzzy relation equations and introduces new solvability criteria.

Journal: :CoRR 2016
Giuseppe Airò Farulla Nadir Murru Rosaria Rossini

The problem of correctly segmenting touching characters is an hard task to solve. In the recent years, many methods and algorithms have been proposed without achieving a comprehensive solution. In this paper, a novel method based on fuzzy logic is studied. The proposed method combines three features of touching characters that in other studies have been exploited one at a time. The strategy is ...

2007
Sergey V. Ulyanov Ludmila V. Litvintseva Sergey S. Ulyanov

This report presents a generalized design strategy of intelligent robust control systems based on quantum/soft computing technologies that enhance robustness of fuzzy controllers by supplying its a selforganizing capability. It is demonstrated that fuzzy controllers prepared to maintain control objects in the prescribed conditions are often fail to control when such a conditions are dramaticall...

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