Estimation of Fuzzy Measures Using Covariance Matrices in Gaussian Mixtures

Estimated lambda (<svg height="13.8125" id="M269" style="vertical-align:-0.1638pt" version="1.1" viewbox="0 0 19.525 13.8125" width="19.525" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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<g transform="matrix(.012,0,0,-.012,9.45,5.388)"><path d="M766 88q-40 -45 -83.5 -72.5t-63.5 -27.5q-39 0 -16 103l49 224q15 68 -10 68q-36 0 -112.5 -78.5t-105.5 -133.5q-27 -101 -38 -165q-35 -4 -77 -18l-6 6q42 153 70 288q12 55 10 78t-19 23q-38 0 -114 -80.5t-101 -131.5q-24 -68 -41 -165q-36 -3 -76 -18l-8 6
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Applied Computational Intelligence and Soft Computing

tab3

Table 3

Table 3: Estimation of Fuzzy Measures Using Covariance Matrices in Gaussian Mixtures 