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FLAIRS
2004
13 years 9 months ago
Strategies For Fuzzy Inference within Classifier Systems
When designing any type of fuzzy rule based system, considerable effort is placed in identifying the correct number of fuzzy sets and the fine tuning of the corresponding membersh...
Keeley A. Crockett, Zuhair Bandar, David McLean
ICONIP
2009
13 years 5 months ago
Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules
Decision Tree Induction (DTI), one of the Data Mining classification methods, is used in this research for predictive problem solving in analyzing patient medical track records. In...
Rolly Intan, Oviliani Yenty Yuliana
EUSFLAT
2009
233views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
SaM: A Split and Merge Algorithm for Fuzzy Frequent Item Set Mining
This paper presents SaM, a split and merge algorithm for frequent item set mining. Its distinguishing qualities are an exceptionally simple algorithm and data structure, which not ...
Christian Borgelt, Xiaomeng Wang
FUZZIEEE
2007
IEEE
13 years 11 months ago
The Parametric Modification of Fuzzy Sets Constituting a Content of Medical Linguistic Variables
One of the most important features of fuzzy set theory is its potential for the modeling of natural language expressions. Most works done on this topic focus on some parts of natur...
Elisabeth Rakus-Andersson
IAJIT
2010
177views more  IAJIT 2010»
13 years 6 months ago
Representing Uncertainty in Medical Knowledge: An Interval Based Approach for Binary Fuzzy Relations
: This paper addresses issues involved in representation of causal relationships between medical categories. An interval based approach for medical binary fuzzy relations is propos...
Bassam Haddad, Ahmad Awwad