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Journal ArticleDOI

The fuzzy GMDH algorithm by possibility models and its application

Isao Hayashi, +1 more
- 01 Jun 1990 - 
- Vol. 36, Iss: 2, pp 245-258
TLDR
In the fuzzy GMDH, the estimated model by using possibilistic linear regression with a multilayer procedure is a non-linear system with parameters in the form of fuzzy numbers, which can be regarded as fuzzy interval analysis.
About
This article is published in Fuzzy Sets and Systems.The article was published on 1990-06-01. It has received 40 citations till now. The article focuses on the topics: Fuzzy number & Fuzzy set operations.

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Citations
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Journal ArticleDOI

Interval regression analysis by quadratic programming approach

TL;DR: The unified quadratic programming approach obtaining the possibility and necessity regression models simultaneously is proposed and polynomials are considered as regression models since any curve can be represented by the polynomial approximation.
Journal ArticleDOI

An architecture of neural networks with interval weights and its application to fuzzy regression analysis

TL;DR: This paper proposes an architecture of neural networks that have interval weights and interval biases, and develops a learning algorithm derived from the cost function in a similar manner as the BP (Back-Propagation) algorithm.
Journal ArticleDOI

On assessing the H value in fuzzy linear regression

TL;DR: The approach developed and illustrated enables a decision maker's beliefs regarding the shape and range of the possibility distribution of the model to be reflected more systematically, and consequently should yield more reliable and realistic results from fuzzy regression.
Journal ArticleDOI

Modeling of driver's collision avoidance maneuver based on controller switching model

TL;DR: This paper presents a modeling strategy of human driving behavior based on the controller switching model focusing on the driver's collision avoidance maneuver, and finds that the driver appropriately switches the "control law" according to the sensory information.
Journal ArticleDOI

Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling

TL;DR: The obtained experimental results reveal that the proposed networks exhibit high accuracy and generalization capabilities in comparison to other similar fuzzy models.
References
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Book

Fuzzy Sets and Systems: Theory and Applications

Didier Dubois, +1 more
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.
Journal ArticleDOI

Polynomial Theory of Complex Systems

TL;DR: The approach taken in this paper to approximating the decision hypersurface, and hence the input-output relationship of a complex system, is to fit a high-degree multinomial to the input properties using a multilayered perceptronlike network structure.
Journal ArticleDOI

Fuzzy data analysis by possibilistic linear models

Hideo Tanka
TL;DR: Since fuzzy data can be regarded as distribution of possibility, fuzzy data analysis by possibilistic linear models is proposed in this paper and can be considered as fuzzy interval analysis.
Journal ArticleDOI

Fuzzy linear regression and its applications to forecasting in uncertain environment

TL;DR: A study of the computer and peripheral equipment sales in the United States is discussed using fuzzy linear regression, which is applied to forecasting in an uncertain environment.