Hello, New York: An Illustrated Love Letter to the Five by Julia Rothman

By Julia Rothman

Somebody who hearts long island will love this illustrated homage to the town. Artist, writer, and New Yorker Julia Rothman brings humor and tenderness to an eclectic collection of historic tidbits (how the hot York Public Library lion sculptures acquired their names), idiosyncratic areas to go to (where to discover the tennis courts at Grand crucial Station), interviews with locals (thoughts on love from a Hasidic Jewish landlord), and private memories from growing to be up within the Bronx (fried fish at Johnny's Reef)—all illuminated in her cherished signature sort. A uniquely unique and informative urban advisor, this slice of big apple will satisfaction manhattan locals and viewers alike.

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Extra resources for Hello, New York: An Illustrated Love Letter to the Five Boroughs

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A (xn ), νA (xn ), πA (xn )), (μB (xn ), νB (xn ), πB (xn ))] which correspond to the membership values, non-memberships values and hesitation margins of the A-IFSs A and B defined on X, then the correlation coefficient rA−IFS (A, B) is given by Definition 2. Definition 2. The correlation coefficient rA−IFS (A, B) between two A-IFSs, A and B in X, is (Szmidt and Kacprzyk [37]): 1 rA−IFS (A, B) = (r1 (A, B) + r2(A, B) + r3 (A, B)) 3 (11) 44 E. Szmidt, J. Kacprzyk, and P. 5 n i=1 1 n n ∑ μB (xi ), νA = i=1 1 n n ∑ νA (xi ), i=1 νB = 1 n n ∑ νB (xi ), i=1 ∑ πB (xi ), i=1 The proposed correlation coefficient (11) depends on two factors: the amount of information expressed by the membership and non-membership degrees (12)–(13), and the reliability of information expressed by the hesitation margins (14).

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. The results concerning the Iris Versicolor data are in Tables 5 – 8.

In our quest for doing the above, we have already discussed in detail the Pearson correlation coefficient r (Szmidt and Kacprzyk [37], and the Spearman rank correlation coefficient rs in (Szmidt and Kacprzyk [38]). This paper is a continuation of our work [39] on the Kendall τ correlation coefficient. We have proposed the concept of the Kendall correlation coefficient for the A-IFSs which is a generalization of the Kendall correlation coefficient for crisp sets as it fulfills the same properties.

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