@inproceedings{42f740f323c34522a48d85efaeb166a4,
title = "Analysis of tensions in a population based on the adequacy concept",
abstract = "The concept of similarity between objects has traditionally been taken as the criterion for recognising their membership of a given class. This paper considers how well an object fits into a class introduced into the LAMDA learning system [6],[9]. This fit is termed {"}adequacy{"}. The Global Adequacy Degree (GAD) is a function of the object's class membership. An adequacy threshold is associated with a non-informative class (NIC). Objects falling below this threshold value are not considered to belong to any significant class. In this research, the tensions produced by a classification scheme are based on the adequacy of an object in a class. This allows us to analyse the stability or balance of the scheme.",
keywords = "Classification algorithms, Fuzzy reasoning, Knowledge representation, Qualitative reasoning",
author = "J. Aguilar-Martin and N. Agell and M. S{\'a}nchez and F. Prats",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2002.; 5th Catalonian Conference on Artificial Intelligence, CCIA 2002 ; Conference date: 24-10-2002 Through 25-10-2002",
year = "2002",
month = oct,
day = "1",
doi = "10.1007/3-540-36079-4_2",
language = "English",
isbn = "978-3-540-00011-2",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer Verlag",
pages = "17--28",
editor = "{Teresa Escrig}, M. and Francisco Toledo and Elisabet Golobardes",
booktitle = "Topics in Artificial Intelligence - 5th Catalonian Conference on AI, CCIA 2002, Proceedings",
address = "Germany",
}