Explore: Fuzzy Engineering
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Source: The Open Library
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1Towards efficient fuzzy information processing
By Chongfu Huang, Chongfu Huang and Yong Shi
“Towards efficient fuzzy information processing” Metadata:
- Title: ➤ Towards efficient fuzzy information processing
- Authors: Chongfu HuangChongfu HuangYong Shi
- Language: English
- Number of Pages: Median: 383
- Publisher: ➤ Physica-Verlag - Physica-Verlag Heidelberg
- Publish Date: 2002 - 2010 - 2012
- Publish Location: New York - Heidelberg
“Towards efficient fuzzy information processing” Subjects and Themes:
- Subjects: ➤ Soft computing - Uncertainty (Information theory) - Fuzzy systems - Engineering - Computer science - Artificial intelligence - Fuzzy set theory - Mathematical theory of computation - Theory Of Computing - Electronics - General - Information Theory - Computers - Computers - General Information - Computer Books: General - Artificial Intelligence - General - General - Computers / Artificial Intelligence - Data Modeling - Fuzziness - Fuzzy Engineering - Information Diffusion - Information Processing - Knowledge Modeling - Medical-General - Uncertainty (Information theor - Uncertainty (information theory)
Edition Identifiers:
- The Open Library ID: OL37394649M - OL37119604M - OL9103961M - OL18177090M
- Library of Congress Control Number (LCCN): 2002025767
- All ISBNs: ➤ 3790825115 - 379081475X - 9783790825114 - 9783790814750 - 9783790817850 - 3790817856
First Setence:
"This chapter introduces a novel approach, called information matrix, to illustrate a given small-sample for its information structure."
Access and General Info:
- First Year Published: 2002
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
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Wiki
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Fuzzy control system
A fuzzy control system is a control system based on fuzzy logic – a mathematical system that analyzes analog input values in terms of logical variables
Lotfi A. Zadeh
fuzzy mathematics, consisting of several fuzzy-related concepts: fuzzy sets, fuzzy logic, fuzzy algorithms, fuzzy semantics, fuzzy languages, fuzzy control
Fuzzy logic
Fuzzy logic is a form of many-valued logic in which the truth value of variables may be any real number between 0 and 1. It is employed to handle the
Fuzzy electronics
Fuzzy electronics is an electronic technology that uses fuzzy logic, instead of the two-state Boolean logic more commonly used in digital electronics
Fuzzy concept
represent fuzzy concepts mathematically, using fuzzy logic, fuzzy values, fuzzy variables and fuzzy sets (see also fuzzy set theory). Fuzzy logic is not
Fuzzy set operations
called standard fuzzy set operations; they comprise: fuzzy complements, fuzzy intersections, and fuzzy unions. Let A and B be fuzzy sets that A,B ⊆ U
Neuro-fuzzy
intelligence, the designation neuro-fuzzy refers to combinations of artificial neural networks and fuzzy logic. Neuro-fuzzy hybridization results in a hybrid
Bart Kosko
professor of electrical engineering and law at the University of Southern California (USC). He is a researcher and popularizer of fuzzy logic, neural networks
Fuzzy number
A fuzzy number is a generalization of a regular real number in the sense that it does not refer to one single value but rather to a connected set of possible
Fuzzy set
In mathematics, fuzzy sets (also known as uncertain sets) are sets whose elements have degrees of membership. Fuzzy sets were introduced independently