scispace - formally typeset
Topic

Neuro-fuzzy

About: Neuro-fuzzy is a(n) research topic. Over the lifetime, 23096 publication(s) have been published within this topic receiving 526078 citation(s).

...read more

Papers
More filters

Journal ArticleDOI
T. Takagi1, Michio Sugeno1Institutions (1)
01 Jan 1985-
TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.

...read more

Abstract: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented. The premise of an implication is the description of fuzzy subspace of inputs and its consequence is a linear input-output relation. The method of identification of a system using its input-output data is then shown. Two applications of the method to industrial processes are also discussed: a water cleaning process and a converter in a steel-making process.

...read more

17,632 citations


Journal ArticleDOI
Jyh-Shing Roger Jang1Institutions (1)
01 May 1993-
TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.

...read more

Abstract: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference system implemented in the framework of adaptive networks. By using a hybrid learning procedure, the proposed ANFIS can construct an input-output mapping based on both human knowledge (in the form of fuzzy if-then rules) and stipulated input-output data pairs. In the simulation, the ANFIS architecture is employed to model nonlinear functions, identify nonlinear components on-line in a control system, and predict a chaotic time series, all yielding remarkable results. Comparisons with artificial neural networks and earlier work on fuzzy modeling are listed and discussed. Other extensions of the proposed ANFIS and promising applications to automatic control and signal processing are also suggested. >

...read more

13,738 citations


Journal ArticleDOI
Lotfi A. Zadeh1Institutions (1)
01 Jan 1973-
TL;DR: By relying on the use of linguistic variables and fuzzy algorithms, the approach provides an approximate and yet effective means of describing the behavior of systems which are too complex or too ill-defined to admit of precise mathematical analysis.

...read more

Abstract: The approach described in this paper represents a substantive departure from the conventional quantitative techniques of system analysis. It has three main distinguishing features: 1) use of so-called ``linguistic'' variables in place of or in addition to numerical variables; 2) characterization of simple relations between variables by fuzzy conditional statements; and 3) characterization of complex relations by fuzzy algorithms. A linguistic variable is defined as a variable whose values are sentences in a natural or artificial language. Thus, if tall, not tall, very tall, very very tall, etc. are values of height, then height is a linguistic variable. Fuzzy conditional statements are expressions of the form IF A THEN B, where A and B have fuzzy meaning, e.g., IF x is small THEN y is large, where small and large are viewed as labels of fuzzy sets. A fuzzy algorithm is an ordered sequence of instructions which may contain fuzzy assignment and conditional statements, e.g., x = very small, IF x is small THEN Y is large. The execution of such instructions is governed by the compositional rule of inference and the rule of the preponderant alternative. By relying on the use of linguistic variables and fuzzy algorithms, the approach provides an approximate and yet effective means of describing the behavior of systems which are too complex or too ill-defined to admit of precise mathematical analysis.

...read more

8,223 citations


Book
01 Jan 2011-
TL;DR: This book effectively constitutes a detailed annotated bibliography in quasitextbook style of the some thousand contributions deemed by Messrs. Dubois and Prade to belong to the area of fuzzy set theory and its applications or interactions in a wide spectrum of scientific disciplines.

...read more

Abstract: (1982). Fuzzy Sets and Systems — Theory and Applications. Journal of the Operational Research Society: Vol. 33, No. 2, pp. 198-198.

...read more

5,801 citations


Journal Article
TL;DR: The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy.

...read more

Abstract: During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory. Fuzzy control is based on fuzzy logic. The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy. A survey of the FLC is presented; a general methodology for constructing an FLC and assessing its performance is described; and problems that need further research are pointed out

...read more

4,823 citations


Network Information
Related Topics (5)
Fuzzy logic

151.2K papers, 2.3M citations

95% related
Fuzzy set

44.4K papers, 1.1M citations

95% related
Fuzzy control system

50.8K papers, 862.7K citations

95% related
Adaptive neuro fuzzy inference system

23.2K papers, 428.8K citations

95% related
Defuzzification

25K papers, 768.3K citations

94% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20229
2021145
2020202
2019203
2018288
2017580

Top Attributes

Show by:

Topic's top 5 most impactful authors

Witold Pedrycz

231 papers, 9.4K citations

Patricia Melin

212 papers, 5.5K citations

Oscar Castillo

198 papers, 6.5K citations

Hisao Ishibuchi

136 papers, 6.2K citations

Sung-Kwun Oh

81 papers, 847 citations