Results 261 to 270 of about 23,977,071 (291)
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Fuzzy classification rules based on similarity.

2012
The paper deals with the aggregation of classification rules by means of fuzzy integrals, in particular with the fuzzy measures employed in that aggregation. It points out that the kinds of fuzzy measures commonly encountered in this context do not take into account the diversity of classification rules.
Holeňa, M. (Martin), Štefka, D.
openaire   +2 more sources

Rule-Based Medical Content Extraction and Classification

2006
We present the final version of the system for automatic content extraction from Polish medical data. The system combines general IE techniques with an external post-processing. The obtained data is normalized and linked to a simplified ontology. Then, it is automatically grouped to form more complex structures representing medical reports.
Agnieszka Mykowiecka 0001   +2 more
openaire   +1 more source

Combination of Metric-Based and Rule-Based Classification

2005
We consider two classification approaches. The metric-based approach induces the distance measure between objects and classifies new objects on the basis of their nearest neighbors in the training set. The rule-based approach extracts rules from the training set and uses them to classify new objects.
openaire   +1 more source

NRCS: Neutrosophic Rule-Based Classification System

2017
This article presents a Neutrosophic Rule-Based Classification System where neutrosophic logic (NL) is used to represent several forms of knowledge. The presented system generalizes the fuzzy rule-based classification by describing every logical variable with its truth, indeterminacy, and falsity degrees.
Sameh H. Basha   +2 more
openaire   +2 more sources

Possibility Rule-Based Classification Using Function Approximation

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018
When dealing with real-world problems, uncertainty in information is inevitable. Uncertainty can result from different sources such as noise, ambiguity or lack of knowledge. A category of problems withing the supervised learning framework in which the class membership of the training data is assessed by an expert and expressed in the form of a ...
Shabnam Nazmi, Abdollah Homaifar
openaire   +1 more source

Coevolution of a Fuzzy Rule Base for Classification Problems

2007
In the paper a certain class of classification systems based on hybrid fuzzy-genetic approach is considered. The particular solution proposed allows for coevolution of two different populations, that search for a rule base structure and linguistic variables definitions respectively.
Barbara Fusinska   +2 more
openaire   +2 more sources

An Evaluation of a Rule-Based Language for Classification Queries

2005
This paper provides results from a usability experiment comparing two different database query languages. The research focuses on a specific type of query task, namely classification queries. Classification is the process of assigning input data to discrete classes according to application specific criteria.
openaire   +2 more sources

Building a Common Pipeline for Rule-based Document Classification

2013
Instance-based classification of clinical text is a widely used natural language processing task employed as a step for patient classification, document retrieval, or information extraction. Rule-based approaches rely on concept identification and context analysis in order to determine the appropriate class.
Olga V. Patterson   +2 more
openaire   +2 more sources

Z-number-valued rule-based classification system

Applied Soft Computing Journal, 2023
Juan Antonio Morente-Molinera   +2 more
exaly  

ARC-SL: Association rule-based classification with soft labels

Knowledge-Based Systems, 2021
Xiaojiao Geng, Lianmeng Jiao
exaly  

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