[图书][B] Intuitionistic fuzzy sets

KT Atanassov, KT Atanassov - 1999 - Springer
1. Intuitionistic Fuzzy Sets Page 1 1. Intuitionistic Fuzzy Sets The intuitionistic fuzzy set (IFS)
theory is based on: • extensions of corresponding definitions of fuzzy set objects, and • definitions …

Fuzzy logic, neural networks, and soft computing

LA Zadeh - Fuzzy sets, fuzzy logic, and fuzzy systems: selected …, 1996 - World Scientific
In retrospect, the year 1990 may well be viewed as the beginning of a new trend in the
design of household appliances, consumer electronics, cameras, and other types of widely …

Neuro-fuzzy modeling and control

JSR Jang, CT Sun - Proceedings of the IEEE, 1995 - ieeexplore.ieee.org
Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …

Defuzzification: criteria and classification

W Van Leekwijck, EE Kerre - Fuzzy sets and systems, 1999 - Elsevier
In this paper, we contribute to the theory and development of defuzzification techniques. First
we define the core of a fuzzy set. Then we formulate a set of criteria for defuzzification in …

[图书][B] Fuzzy cluster analysis: methods for classification, data analysis and image recognition

F Höppner, F Klawonn, R Kruse, T Runkler - 1999 - books.google.com
Provides a timely and important introduction to fuzzy cluster analysis, its methods and areas
of application, systematically describing different fuzzy clustering techniques so the user …

Type-2 fuzzy logic: theory and applications

O Castillo, P Melin, J Kacprzyk… - 2007 IEEE international …, 2007 - ieeexplore.ieee.org
Type-2 fuzzy sets are used for modeling uncertainty and imprecision in a better way. These
type-2 fuzzy sets were originally presented by Zadeh in 1975 and are essentially" fuzzy …

[图书][B] Analysis and synthesis of fuzzy control systems: a model-based approach

G Feng - 2018 - books.google.com
Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex
systems in industry, and is often used with great success as an alternative to conventional …

Temperature prediction using fuzzy time series

SM Chen, JR Hwang - … on Systems, Man, and Cybernetics, Part …, 2000 - ieeexplore.ieee.org
A drawback of traditional forecasting methods is that they can not deal with forecasting
problems in which the historical data are represented by linguistic values. Using fuzzy time …

[图书][B] Fuzzy rule-based modeling with applications to geophysical, biological, and engineering systems

A Bardossy, L Duckstein - 2022 - taylorfrancis.com
This book presents in a systematic and comprehensive manner the modeling of uncertainty,
vagueness, or imprecision, alias" fuzziness," in just about any field of science and …

Fast and accurate center of gravity defuzzification of fuzzy system outputs defined on trapezoidal fuzzy partitions

E Van Broekhoven, B De Baets - Fuzzy sets and systems, 2006 - Elsevier
In this article three methods are presented to perform the center of gravity (COG)
defuzzification method in the context of linguistic fuzzy models with t-norm-based inference …