Modeling and identification of nonlinear systems: A review of the multimodel approach—Part 1
AA Adeniran, S El Ferik - IEEE Transactions on Systems, Man …, 2016 - ieeexplore.ieee.org
The efficacy of the multimodel framework (MMF) in modeling and identification of complex,
nonlinear, and uncertain systems has been widely recognized in the literature owing to its …
nonlinear, and uncertain systems has been widely recognized in the literature owing to its …
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 …
design of household appliances, consumer electronics, cameras, and other types of widely …
[PDF][PDF] A fuzzy-logic-based approach to qualitative modeling
M Sugeno, T Yasukawa - IEEE Transactions on fuzzy systems, 1993 - scholar.archive.org
This paper discusses a general approach to quali-tative modeling based on fuzzy logic. The
method of qualitative modeling is divided into two parts: fuzzy modeling and linguistic …
method of qualitative modeling is divided into two parts: fuzzy modeling and linguistic …
Fuzzy logic control and soft sensing applications in food and beverage processes
S Birle, MA Hussein, T Becker - Food Control, 2013 - Elsevier
Biotechnological processes–particularly fermentation processes-play a very important
technological an economical role for the production steps in the food and beverage sector …
technological an economical role for the production steps in the food and beverage sector …
[图书][B] Evolving rule-based models: a tool for design of flexible adaptive systems
PP Angelov - 2002 - books.google.com
The idea about this book has evolved during the process of its preparation as some of the
results have been achieved in parallel with its writing. One reason for this is that in this area …
results have been achieved in parallel with its writing. One reason for this is that in this area …
[图书][B] Uncertain programming
B Liu, B Liu - 2002 - Springer
Uncertain Programming Page 1 Chapter 24 Uncertain Programming Uncertain programming
was defined by Liu [171] as the optimization theory in generally uncertain environments. From …
was defined by Liu [171] as the optimization theory in generally uncertain environments. From …
Complex systems modeling via fuzzy logic
This paper presents a fuzzy logic approach to complex systems modeling that is based on
fuzzy discretization technique. As compared with other modeling methods (both statistical …
fuzzy discretization technique. As compared with other modeling methods (both statistical …
Employing dynamic fuzzy membership functions to assess environmental performance in the supplier selection process
P Humphreys, A McCloskey, R McIvor… - … Journal of Production …, 2006 - Taylor & Francis
The proposed system illustrates that logic fuzzy can be used to aid management in
assessing a supplier's environmental performance in the supplier selection process. A user …
assessing a supplier's environmental performance in the supplier selection process. A user …
Unified structure and parameter identification of fuzzy models
The unified approach to fuzzy modeling developed in this correspondence addresses the
problems of structure and parameter identification of fuzzy models. It demonstrates an …
problems of structure and parameter identification of fuzzy models. It demonstrates an …