Difference between revisions 944862174 and 944863227 on enwiki

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==Thinking with approximate models==
Soft computing, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems.{{clarify|date=January 2020}} It was conceived by [[Lotfi Zadeh]], pioneer of a mathematical concept known as [[fuzzy sets]] which led to many new fields such as [[fuzzy control system]]s, fuzzy graph theory
<ref> http://researchmathsci.org/apamart/apam-v4n1-3.pdf</ref>{{sfn|Sunitha|Sunil|2013}}, [[fuzzy systems]], and so on.   Zadeh observed that people are good at 'soft' thinking while computers typically are 'hard' thinking.<ref>{{Cite web | url=http://soft-computing.de/def.html | title=Soft Computing Home Page - Short Definition of Soft Computing}}</ref>{{sfn|Jin|2014}}  People use concepts like 'some', 'most', or 'very' rather than 'hard' or precise concepts of 3.5 or 102. People want a 'warm' glass of milk, not one that is 102 degrees. In general, people are good at learning, finding patterns, adapting and are rather unpredictable.  In 'hard' computing, by contrast, machines need precision, determinism and  measures, and although pattern recognition happens, there is a 'brittleness' if things change -(contracted; show full)
* {{cite book |first1=D. K. |last1=Chaturvedi |url=https://books.google.com/books?id=Igw6WDcfmp4C&printsec=frontcover#v=onepage&q&f=false |title=Soft Computing: Techniques and Its Applications in Electrical Engineering |publisher=Springer |date=2008 |ref=harv}}
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* {{cite web | url=http://researchmathsci.org/apamart/apam-v4n1-3.pdf |date=2013 |title=Fuzzy Graph Theory: A Survey |last1=Sunitha|first1=M.S.|last2=Sunil |first2=Matthew |ref=harv}}
* {{Cite web | url=http://soft-computing.de/def.html | last1=Jin |first1=Yaochu | date=2014| title=Soft Computing Home Page - Short Definition of Soft Computing |ref=harv}}

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[[:Category:Scientific modeling]]
[[:Category:Artificial intelligence]]
[[:Category:Semantic Web]]
[[:Category:Soft computing]]