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A Venn diagram is a widely used diagram style that shows the logical relation between sets, popularized by John Venn (1834–1923) in the 1880s. The diagrams are used to teach elementary set theory, and to illustrate simple set relationships in probability, logic, statistics, linguistics and computer science.
Symmetrical 5-set Venn diagram: Image title: Radially symmetrical five-set Venn diagram originally devised by Branko Gruenbaum and optimised for maximum area of the smallest regions and rendered by CMG Lee. Width: 100%: Height: 100%
Naive set theory is any of several theories of sets used in the discussion of the foundations of mathematics. [3] Unlike axiomatic set theories, which are defined using formal logic, naive set theory is defined informally, in natural language.
The ICSE Examination is a school examination and the standard of the examination pre-supposes a school course of ten years duration (Classes I-X). The Indian Certificate of Secondary Education Examination will ensure a general education and all candidates are required to enter for six or more subjects and Socially Useful Productive Work (SUPW). [3]
Venn diagrams are a more restrictive form of Euler diagrams. A Venn diagram must contain all 2 n logically possible zones of overlap between its n curves, representing all combinations of inclusion/exclusion of its constituent sets. Regions not part of the set are indicated by coloring them black, in contrast to Euler diagrams, where membership ...
The commonly-used diagram for the Borromean rings consists of three equal circles centered at the points of an equilateral triangle, close enough together that their interiors have a common intersection (such as in a Venn diagram or the three circles used to define the Reuleaux triangle).
Information diagrams have also been applied to specific problems such as for displaying the information theoretic similarity between sets of ontological terms. [ 3 ] Venn diagram showing additive and subtractive relationships among various information measures associated with correlated variables X and Y .
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