Difference between revisions 944712024 and 944731076 on enwiki

{{AFC submission|d|mergeto|Computational intelligence|u=ManuelRodriguez|ns=118|decliner=AngusWOOF|declinets=20200309160440|ts=20200309093942}} <!-- Do not remove this line! -->

{{AFC comment|1=This should be discussed whether this needs to be a separate article from computational intelligence. [[User:AngusWOOF|<strong><span style="color: #606060;">AngusWOOF</span></strong>]] ([[User talk:AngusWOOF#top|<span style=" color: #663300;">bark</span>]] • [[Special:Contributions/AngusWOOF|<span style="color: #006600;">sniff</span>]]) 16:04, 9 March 2020 (UTC)}}

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{{Distinguish|soft microprocessor}}

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{{Multiple issues|
{{Expert needed|computer science|date=July 2009}}
{{Notability|date=August 2019}}
{{Essay-like|date=August 2019}}
(contracted; show full)acchi |title=A very brief history of soft computing: Fuzzy Sets, artificial Neural Networks and Evolutionary Computation |conference=2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS) }}</ref> The highly successful innovation of [[deep learning]] is based on the idea, that input data is transformed into abstract representation. This development shows, that so called hard science has the right tools to deal with imprecise information and there is no need to introduce fuzzy logic.


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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>, [[fuzzy systems]], and so on.   Zadeh observed that people (contracted; show full)Unlike hard computing schemes, which strive for exactness and full truth, soft computing techniques exploit the given tolerance of imprecision, partial truth, and uncertainty for a particular problem. Another common contrast comes from the observation that [[inductive reasoning]] plays a larger role in soft computing than in hard computing.

==References==
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