Learning Fuzzy Measures

Pages: 205 - 239
Published: Jan 1, 2020
Abstract
This chapter is a key contribution of this work in which various computational approaches to learning fuzzy measures are described. The learning problem is framed from the perspective of data fitting, where we aim to define a model that interpolates or approximates a set of observed or user-specified instances. Fitting is performed with respect to different metrics, and by solving different convex and non-convex optimisation problems. The...
Paper Details
Title
Learning Fuzzy Measures
Published Date
Jan 1, 2020
Pages
205 - 239
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