@inproceedings{1e8f15602e234af0b906b0aa422f9caf,
title = "Conceptual conectivity analysis by means of fuzzy partitions",
abstract = "In this paper we present a set of tools to analyze concepts that describe and explain a set of observations. Due to the inherent vagueness of concepts, that makes hard to decide in a dichotomic base weather an observation is, or is not, a good example for a concept, we consider the concepts associated to fuzzy subsets. Then we study the adequation and coverage of a collection of fuzzy sets to describe a set of observations. In the same way, once a set of concepts has been acepted to describe a set of objects, we study how the concepts are related by means of the observations, and reciprocally, how the objects are related by the concepts. Finally, a short description of the computer program COCOA is given.",
keywords = "Classifications, Data analysis, Fuzzy sets, Machine learning",
author = "J. Aguilar-Martin and M. Mart{\'i}n and N. Piera",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1991.; 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 1990 ; Conference date: 02-07-1990 Through 06-07-1990",
year = "1991",
doi = "10.1007/BFb0028100",
language = "English",
isbn = "9783540543466",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "165--172",
editor = "Yager, \{Ronald R.\} and Zadeh, \{Lotfi A.\} and Bernadette Bouchon-Meunier",
booktitle = "Uncertainty in Knowledge Bases - 3rd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 1990",
address = "Germany",
}