@inproceedings{33de9cc403654af28096a0ffc20a8a60,
title = "On the issue of learning weights from observations for fuzzy signatures",
abstract = "We investigate the issue of obtaining weights, which are associated with aggregation in fuzzy signatures, from real world data, Our approach will provide a way to extract the relevance of lower levels to the higher levels of the hierarchical fuzzy signature structure. We also handle the non-differentiability of max-min aggregation functions for gradient based learning. A mathematically proved method, which is found in the literature to approximate the derivatives of max-min functions, has been used. Copyright - World Automation Congress (WAC) 2006.",
keywords = "Fuzzy signatures, Vector valued fuzzy sets, Weighted aggregation",
author = "Mendis, \{B. Sumudu U.\} and Gedeon, \{Tam{\'a}s D.\} and K{\'o}czy, \{L{\^a}szl{\'o} T.\}",
year = "2006",
doi = "10.1109/WAC.2006.376058",
language = "English",
isbn = "1889335339",
series = "2006 World Automation Congress, WAC'06",
publisher = "IEEE Computer Society",
booktitle = "2006 World Automation Congress, WAC'06",
address = "United States",
note = "2006 World Automation Congress, WAC'06 ; Conference date: 24-06-2006 Through 26-06-2006",
}