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 concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1. The term fuzzy logic was introduced with the 1965 proposal of fuzzy set theory by Iranian Azerbaijani mathematician Lotfi Zadeh. Fuzzy logic had, however, been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski.
- ArchiveDate
- 5 October 2003
- ArchiveUrl
- ieccd1.pdf
- Comment
- enFuzzy 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 concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1. The term fuzzy logic was introduced with the 1965 proposal of fuzzy set theory by Iranian Azerbaijani mathematician Lotfi Zadeh. Fuzzy logic had, however, been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski.
- Date
- enFebruary 2022
- 4 October 2015
- 4 March 2021
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- Has abstract
- enFuzzy 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 concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only be the integer values 0 or 1. The term fuzzy logic was introduced with the 1965 proposal of fuzzy set theory by Iranian Azerbaijani mathematician Lotfi Zadeh. Fuzzy logic had, however, been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski. Fuzzy logic is based on the observation that people make decisions based on imprecise and non-numerical information. Fuzzy models or sets are mathematical means of representing vagueness and imprecise information (hence the term fuzzy). These models have the capability of recognising, representing, manipulating, interpreting, and using data and information that are vague and lack certainty. Fuzzy logic has been applied to many fields, from control theory to artificial intelligence.
- Hypernym
- Form
- Is primary topic of
- Fuzzy logic
- Label
- enFuzzy logic
- Link from a Wikipage to an external page
- en.citizendium.org/wiki/Formal_fuzzy_logic
- www.beyondwilber.ca/books/mandala/holism_mysticism/fuzziness-exactness.html
- archive.org/details/fuzzycontrol0000pass
- www.scholarpedia.org/article/Fuzzy_Logic
- web.archive.org/web/20061205114153/http:/blog.peltarion.com/2006/10/25/fuzzy-math-part-1-the-theory
- archive.org/details/fuzzysetsuncerta00klir
- archive.org/details/fuzzythinkingnew00kosk_0
- oatao.univ-toulouse.fr/5304/1/Ha%C3%AFt-5304.pdf
- web.archive.org/web/20170922021706/http:/oatao.univ-toulouse.fr/5304/1/Ha%C3%AFt-5304.pdf
- plato.stanford.edu/entries/logic-fuzzy/
- www.fuzzylite.com/
- www.fuzzytech.com/binaries/ieccd1.pdf
- web.archive.org/web/20031005030342/http:/www.fuzzytech.com/binaries/ieccd1.pdf
- web.archive.org/web/20210304150537/https:/www.fuzzytech.com/binaries/ieccd1.pdf
- www.scholarpedia.org/article/Modeling_with_words
- news.mit.edu/2015/more-flexible-machine-learning-1001
- web.mit.edu/6.863/www/fall2012/projects/writeups/semantic-similarity-betweenverbs.pdf
- web.archive.org/web/20151004060002/http:/web.mit.edu/6.863/www/fall2012/projects/writeups/semantic-similarity-betweenverbs.pdf
- Link from a Wikipage to another Wikipage
- Adaptive neuro fuzzy inference system
- Addison-Wesley
- Adjectives
- Adverbs
- Alfred Tarski
- Anti-lock braking system
- Artificial intelligence
- Artificial neural network
- Axiomatic system
- Bart Kosko
- Bayes' theorem
- BL (logic)
- Boolean algebra
- Boolean logic
- Category:Artificial intelligence
- Category:Azerbaijani inventions
- Category:Fuzzy logic
- Category:Iranian inventions
- Category:Logic in computer science
- Category:Non-classical logic
- Category:Probability interpretations
- Citizendium
- Classical logic
- Classical mathematics
- Clinical decision support system
- Computer-aided diagnosis
- Control system
- Control theory
- Defuzzification
- Degree of truth
- Dempster–Shafer theory
- Dynamical system
- Ebrahim Mamdani
- Existential quantifier
- Expert system
- False dilemma
- Feature extraction
- Feed forward (control)
- File:Fuzzy logic temperature en.svg
- First-order logic
- Formal system
- FSQL
- Fuzzy architectural spatial analysis
- Fuzzy classification
- FuzzyCLIPS
- Fuzzy concept
- Fuzzy Control Language
- Fuzzy control system
- Fuzzy electronics
- Fuzzy markup language
- Fuzzy mathematics
- Fuzzy set
- Fuzzy set theory
- Fuzzy subalgebra
- Gödel
- Handwriting recognition
- Hedge (linguistics)
- High Performance Fuzzy Computing
- IEC 61131
- IEEE 1855
- IEEE Computational Intelligence Society
- IEEE Standards Association
- Image segmentation
- Infimum
- Information and Computation
- Integer
- Interval finite element
- Intuitionistic logic
- Jan Łukasiewicz
- Kluwer Academic Publishers
- Learning algorithms
- Left continuous
- Leslie Valiant
- Logical conjunction
- Logistic function
- Lotfi A. Zadeh
- Lukasiewicz fuzzy logic
- Machine learning
- Many-valued logic
- Maria Zemankova
- Mathematical formula
- Mathematical logic
- Mathematical model
- MIT Press
- MTL (logic)
- MV-algebra
- Neuro-fuzzy
- Noise-based logic
- Operator (computer programming)
- Possibility theory
- Prentice Hall
- Prentice Hall PTR
- Probability
- Propositional calculus
- Real number
- Recursively enumerable
- Relational database
- Residuated lattice
- Rough set
- Scholarpedia
- Sendai Subway 1000 series
- Sigmoid function
- Sorites paradox
- SQLf
- Stanford Encyclopedia of Philosophy
- Structure (mathematical logic)
- Subjective probability
- Supremum
- T-norm
- T-norm fuzzy logics
- Truth value
- Turing machine
- Type-2 fuzzy sets and systems
- Universal quantifier
- Vagueness
- Variable (mathematics)
- Vector logic
- W3C
- Wiley-Interscience
- XML
- XML Schema (W3C)
- Łukasiewicz logic
- Reason
- enplease summarise these refs- several are on a subscription basis
- SameAs
- 28B46
- Bulanık mantık
- Elmosódott halmazok logikája
- Fuzzy logic
- Fuzzy logic
- Fuzzylogik
- Fuzzy logika
- Fuzzy logika
- Fuzzylogikk
- Fuzzy-logikk
- Hägusloogika
- Lógica difusa
- Lógica difusa
- Lògica difusa
- Logica fuzzy
- Logică fuzzy
- Logic mờ
- Logika Fuzzy
- Logika kabur
- Logika lauso
- Logika rozmyta
- Logik kabur
- Logique floue
- m.0d3ks
- Mehka logika
- Neakra logiko
- Nestriktā loģika
- Q224821
- Qeyri-səlis məntiq
- Suddig logik
- Sumea logiikka
- Логика на непрецизноста
- Нечёткая логика
- Нечітка логіка
- Размита логика
- Расплинута логика
- Ոչ հստակ տրամաբանություն
- לוגיקה עמומה
- منطق ضبابي
- منطق فازی
- अस्पष्ट तर्क
- मोघम तर्क
- ফাজি লজিক
- தெளிவில்லாத் தர்க்கம்
- ตรรกศาสตร์คลุมเครือ
- ဖပ်ဇီ လောဂျစ်
- ファジィ論理
- 模糊逻辑
- 퍼지 논리
- Source
- enSeven Challenges, 2019.
- Subject
- Category:Artificial intelligence
- Category:Azerbaijani inventions
- Category:Fuzzy logic
- Category:Iranian inventions
- Category:Logic in computer science
- Category:Non-classical logic
- Category:Probability interpretations
- Text
- en"The envelope of what can be achieved and what cannot be achieved in medical diagnosis, ironically, is itself a fuzzy one"
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- ieccd1.pdf
- semantic-similarity-betweenverbs.pdf
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- enlive
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- Fuzzy logic?oldid=1124848873&ns=0
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- Wikipage page ID
- 49180
- Wikipage revision ID
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