Explore: Fuzzy Automata
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AI-Generated Overview About “fuzzy-automata”:
Books Results
Source: The Open Library
The Open Library Search Results
Search results from The Open Library
1Fuzzy automata and decision processes
By Brian R. Gaines, Madan M. Gupta and George N. Saridis
“Fuzzy automata and decision processes” Metadata:
- Title: ➤ Fuzzy automata and decision processes
- Authors: Brian R. GainesMadan M. GuptaGeorge N. Saridis
- Language: English
- Number of Pages: Median: 496
- Publisher: North-Holland
- Publish Date: 1977
- Publish Location: New York
“Fuzzy automata and decision processes” Subjects and Themes:
- Subjects: Machine theory - Set theory - Decision-making - Fuzzy automata - Decision making
Edition Identifiers:
- The Open Library ID: OL4534797M
- Online Computer Library Center (OCLC) ID: 2798479
- Library of Congress Control Number (LCCN): 77000534
- All ISBNs: 0444002316 - 9780444002310
Access and General Info:
- First Year Published: 1977
- Is Full Text Available: Yes
- Is The Book Public: No
- Access Status: Borrowable
Online Access
Downloads Are Not Available:
The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
Online Borrowing:
- Borrowing from Open Library: Borrowing link
- Borrowing from Archive.org: Borrowing link
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2Foundations of Fuzzy Control
By Jan Jantzen
“Foundations of Fuzzy Control” Metadata:
- Title: Foundations of Fuzzy Control
- Author: Jan Jantzen
- Language: English
- Number of Pages: Median: 325
- Publisher: ➤ Wiley & Sons, Limited, John - John Wiley & Sons - Wiley & Sons, Incorporated, John - John Wiley & Sons Inc. - Wiley
- Publish Date: 2007 - 2013
- Publish Location: ➤ Chichester, West Sussex, United Kingdom - Chichester, England
“Foundations of Fuzzy Control” Subjects and Themes:
- Subjects: Automatic control - Fuzzy automata - Fuzzy systems - TECHNOLOGY & ENGINEERING / Mechanical - Control theory
Edition Identifiers:
- The Open Library ID: ➤ OL39893136M - OL34603565M - OL33453657M - OL33452741M - OL33377078M - OL31139975M - OL29177097M - OL17555897M - OL7594869M
- Online Computer Library Center (OCLC) ID: 75713390
- Library of Congress Control Number (LCCN): 2006102035 - 2013015112 - 2013023628
- All ISBNs: ➤ 0470029633 - 9781118535585 - 1118506227 - 9781299732261 - 9781118535592 - 111853560X - 111853557X - 9781118535608 - 1118535588 - 9781118506226 - 1299732267 - 0470061170 - 1118535596 - 9780470029633 - 9781118535578 - 9780470061176
Access and General Info:
- First Year Published: 2007
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
Online Marketplaces
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3Fuzzy automata and languages
By John N. Mordeson and Davender S. Malik
“Fuzzy automata and languages” Metadata:
- Title: Fuzzy automata and languages
- Authors: John N. MordesonDavender S. Malik
- Language: English
- Number of Pages: Median: 576
- Publisher: ➤ Chapman & Hall/CRC - Taylor & Francis Group
- Publish Date: 2002 - 2019
“Fuzzy automata and languages” Subjects and Themes:
- Subjects: Fuzzy automata - Fuzzy languages - Fuzzy systems - Automates flous - Langages flous
Edition Identifiers:
- The Open Library ID: OL34668064M - OL33764946M - OL33441894M - OL33417474M - OL8795257M
- Online Computer Library Center (OCLC) ID: 48920542 - 276796506
- Library of Congress Control Number (LCCN): 2002017475
- All ISBNs: ➤ 9780367396275 - 1420035649 - 0367396270 - 9781420035643 - 1584882255 - 9781280507380 - 1280507381 - 0429191146 - 9781584882251 - 9780429191145
First Setence:
"In this section, we review some results from set theory."
Access and General Info:
- First Year Published: 2002
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: Unclassified
Online Access
Downloads Are Not Available:
The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
Online Borrowing:
Online Marketplaces
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4Fuzzy control and identification
By John H. Lilly
“Fuzzy control and identification” Metadata:
- Title: ➤ Fuzzy control and identification
- Author: John H. Lilly
- Language: English
- Publisher: Wiley
- Publish Date: 2010
- Publish Location: Hoboken, N.J
“Fuzzy control and identification” Subjects and Themes:
- Subjects: ➤ Fuzzy automata - Mathematics - System identification - Automatic control - Fuzzy systems - System analysis
Edition Identifiers:
- The Open Library ID: OL24123840M
- Online Computer Library Center (OCLC) ID: 840106095
- Library of Congress Control Number (LCCN): 2010007956
- All ISBNs: 0470542772 - 9780470542774
Access and General Info:
- First Year Published: 2010
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
Online Marketplaces
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Wiki
Source: Wikipedia
Wikipedia Results
Search Results from Wikipedia
Cellular automaton
automaton (pl. cellular automata, abbrev. CA) is a discrete model of computation studied in automata theory. Cellular automata are also called cellular
Fuzzy logic
Cellular Automata, Neural Networks, Genetic Algorithms, Gene Expression Programming, Support Vector Machine, Wavelets, Hidden Markov Models, Fuzzy Logic
D. S. Malik
algebra, information science, and fuzzy mathematics, including fuzzy automata theory, fuzzy logic, and applications of fuzzy set theory in other disciplines
Emergent algorithm
exhibit more complex behaviors. One example of this is the implementation of fuzzy motion controllers used to adapt robot movement in response to environmental
Joseph Goguen
Zadeh, Goguen was one of the earliest researchers in fuzzy logic and made profound contributions to fuzzy set theory. In the 1970s Goguen's work was one of
Lenia
as differing from those appearing in other cellular automata, being "geometric, metameric, fuzzy, resilient, adaptive, and rule-generic". Lenia won the
Levenshtein distance
the two string lengths, makes this impractical. Thus, when used to aid in fuzzy string searching in applications such as record linkage, the compared strings
Levenshtein automaton
"Lucene's FuzzyQuery is 100 times faster in 4.0". Changing Bits. Retrieved 2021-06-07. Mitankin, Petar N. (2005). Universal Levenshtein Automata. Building
Set theory
feature a nonstandard membership relation. These include rough set theory and fuzzy set theory, in which the value of an atomic formula embodying the membership
Artificial life
distinguishes the cellular automata models of white-box type from cellular automata models based on arbitrary logical rules. If cellular automata rules have not been