By Cynthia Freeland
Oxford's Very brief Introductions bargains concise and unique introductions to quite a lot of subjects--from Islam to Sociology, Politics to Classics, and Literary conception to historical past. no longer easily a textbook of definitions, every one quantity presents trenchant and provocative--yet consistently balanced and complete--discussions of the principal matters in a given subject. each Very brief creation provides a readable evolution of the topic in query, demonstrating the way it has built and encouraged society. regardless of the zone of research, regardless of the subject that fascinates the reader, the sequence has a convenient and cheap consultant that may most likely turn out essential.
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Written in untechnical kind, this article is for college students of song, artwork historical past, and literature in addition to of philosophy. It seems in any respect the humanities, equivalent to movie, tune, fiction, poetry and structure. The textual content examines what the certain "value" of paintings is, instead of what artwork "is".
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Extra resources for Art Theory: A Very Short Introduction (Very Short Introductions)
13) Compute the coverage of each solution. Coverage provides a measure of generality of a summary because it shows how many cases support the summary. It is an assessment of the degree to which a solution is supported by cases. In other words, coverage determines what percentage of cases covers a solution. Ragin [20, Ch. 3] mentions three kinds of coverage and Rihoux and Ragin [23, p. 64] define them as: (1) solution coverage, Cs, which is the proportion of cases that are covered by all of the terms; (2) raw coverage, Cr, which is the proportion of cases that are simultaneously covered by each term one at a time; and, (3) unique coverage, Cu, which is the proportion of cases that are uniquely covered by a specific term (no other terms cover those cases).
Frawley, B. ) Knowledge Discovery in Databases, pp. 347–363. : Linguistic summaries as a tool for database discovery. In: Proc. FUZZIEEE 1995/IFES 1995, Yokohama, Japan, pp. : Database discovery using fuzzy sets. International Journal of Intelligent Systems 11, 691–712 (1996) The Kendall Rank Correlation between Intuitionistic Fuzzy Sets: An Extended Analysis Eulalia Szmidt1,2 , Janusz Kacprzyk1,2, and Paweł Bujnowski1 1 2 Systems Research Institute, Polish Academy of Sciences, ul. pl WIT – Warsaw School of Information Technology ul.
Szmidt, J. Kacprzyk, and P. Bujnowski Table 5. 62 petal width 1 Table 6. 7 petal width 1 Table 7. 61 petal width 1 Table 8. 64 petal width 1 Table 9. 86 petal width 1 The Kendall Rank Correlation between Intuitionistic Fuzzy Sets 51 Table 10. 89 petal width 1 Table 11. 61 petal width 1 Table 12. 78 petal width 1 Table 13. 76 petal width 1 The Kendall correlation coefficient (15) – Table 4 is the biggest between petal length and petal width, and does not count only between sepal length and sepal width.
Art Theory: A Very Short Introduction (Very Short Introductions) by Cynthia Freeland