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  2. Wikipedia:Guide to image deletion - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Guide_to_image...

    For fair use images: with no non-free use rationale if the image was uploaded after May 4, 2006, tag the image as {{}}.; with vague or inappropriate justifications that do not meet non-free content guidelines, tag the image as {{subst:dfu|reason that the image does not meet the criteria}}.

  3. Fuzzy concept - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_concept

    For engineers, "Fuzziness is imprecision or vagueness of definition." [ 4 ] For scientists, a fuzzy concept is an idea which is "to an extent applicable" in a situation. It means that the concept can have gradations of significance or unsharp (variable) boundaries of application; a fuzzy statement is a statement which is true "to some extent ...

  4. Image processor - Wikipedia

    en.wikipedia.org/wiki/Image_processor

    Nikon EXPEED, a system on a chip including an image processor, video processor, digital signal processor (DSP) and a 32-bit microcontroller controlling the chip. An image processor, also known as an image processing engine, image processing unit (IPU), or image signal processor (ISP), is a type of media processor or specialized digital signal processor (DSP) used for image processing, in ...

  5. Photos (Apple) - Wikipedia

    en.wikipedia.org/wiki/Photos_(Apple)

    Photos is a photo management and editing application developed by Apple. It was released as a bundled app in iOS 8 on September 17, 2014—replacing the Camera Roll ...

  6. Fuzzy measure theory - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_measure_theory

    In mathematics, fuzzy measure theory considers generalized measures in which the additive property is replaced by the weaker property of monotonicity. The central concept of fuzzy measure theory is the fuzzy measure (also capacity, see [1]), which was introduced by Choquet in 1953 and independently defined by Sugeno in 1974 in the context of fuzzy integrals.

  7. Fuzzy clustering - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_clustering

    Fuzzy clustering (also referred to as soft clustering or soft k-means) is a form of clustering in which each data point can belong to more than one cluster.. Clustering or cluster analysis involves assigning data points to clusters such that items in the same cluster are as similar as possible, while items belonging to different clusters are as dissimilar as possible.

  8. International Journal of Uncertainty, Fuzziness and Knowledge ...

    en.wikipedia.org/wiki/International_Journal_of...

    The International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems was founded in 1993 [1] and is published bimonthly by World Scientific.It covers research on methodologies for the management of uncertainty.

  9. Fuzzy rule - Wikipedia

    en.wikipedia.org/wiki/Fuzzy_rule

    As an example, consider a rule used to control a three-speed fan. A binary IF-THEN statement may be then IF temperature 30 THEN fan speed is 3. The disadvantage of this rule is that it uses a strict temperature as a threshold, but the user may want the fan to still function at this speed when temperature = 29.9.

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