About: Enhancing the Efficiency of the Interval-Valued Fuzzy Rule-Based Classifier with Tuning and Rule Selection

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About: Enhancing the Efficiency of the Interval-Valued Fuzzy Rule-Based Classifier with Tuning and Rule Selection Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Enhancing the Efficiency of the Interval-Valued Fuzzy Rule-Based Classifier with Tuning and Rule Selection
Creator	Da, Tiago Bustince, Humberto Sanz, José Asmus, Cruz De La Osa, Borja
Source	PMC
abstract	Interval-Valued fuzzy rule-based classifier with TUning and Rule Selection, IVTURS, is a state-of-the-art fuzzy classifier. One of the key point of this method is the usage of interval-valued restricted equivalence functions because their parametrization allows one to tune them to each problem, which leads to obtaining accurate results. However, they require the application of the exponentiation several times to obtain a result, which is a time demanding operation implying an extra charge to the computational burden of the method. In this contribution, we propose to reduce the number of exponentiation operations executed by the system, so that the efficiency of the method is enhanced with no alteration of the obtained results. Moreover, the new approach also allows for a reduction on the search space of the evolutionary method carried out in IVTURS. Consequently, we also propose four different approaches to take advantage of this reduction on the search space to study if it can imply an enhancement of the accuracy of the classifier. The experimental results prove: 1) the enhancement of the efficiency of IVTURS and 2) the accuracy of IVTURS is competitive versus that of the approaches using the reduced search space.
has issue date	2020-05-16(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50153-2_35
has license	no-cc
sha1sum (hex)	018ca6fa1759a51152aa00044df26d3f00925b8d
schema:url	https://doi.org/10.1007/978-3-030-50153-2_35
resource representing a document's title	Enhancing the Efficiency of the Interval-Valued Fuzzy Rule-Based Classifier with Tuning and Rule Selection
has PubMed Central identifier	PMC7274650
schema:publication	Information Processing and Management of Uncertainty in Knowledge-Based Systems
resource representing a document's body	covid:018ca6fa1759a51152aa00044df26d3f00925b8d#body_text
is schema:about of	named entity 'PROBLEM' named entity 'EXTRA' named entity 'RULE' named entity 'RESULT' named entity 'OPERATION' named entity 'ART' named entity 'BURDEN' named entity 'ACCURATE' named entity 'exponentiation' named entity 'negation' named entity 'search space' named entity 'post hoc test' named entity '4.02' named entity 'learning process' named entity 'evolutionary process' named entity 'Fuzzy Rule' named entity 'p-value' named entity 'machine learning' named entity 'mapping function' named entity 'search space' named entity 'search space' named entity 'parametrization' named entity 'exponentiation' named entity 'state-of-the-art' named entity 'Fuzzy Rule' named entity 'inference process' named entity 'T-conorm' named entity 'search space' named entity 'training set' named entity 'Galar' named entity 'FARC' named entity 'computing' named entity 'exponentiation' named entity 'search space' named entity 't-conorm' named entity 'T-norm' named entity 'search space' named entity 't-norm' named entity 'algorithm' named entity 'search space' named entity 'learning algorithm' named entity 'upper bound' named entity 'exponentiation' named entity 'mapping function' named entity 'KEEL' named entity 'exponentiation' named entity 'search space' named entity 'training set' named entity 'search space' named entity 'T b' named entity 'Galar' named entity 'exponentiation' named entity 'search space' named entity 'search space' named entity 'exponentiation' named entity 'Fuzzy Sets' named entity 'membership functions' named entity 'search space' named entity 'evolutionary process' named entity 'exponentiation' named entity 'FARC' named entity 'FARC' named entity 'evolutionary algorithm' named entity 'search space' named entity 'exponentiation' named entity 'neutral element' named entity 'n-dimensional' named entity 'search space' named entity 't-norm' named entity 'search space' named entity 'fuzzy rule' named entity 'search space' named entity 'T b' named entity 'certainty factor' named entity 'search space' named entity 'P-Value' named entity 'set of training examples' named entity 'total order' named entity 'search space'

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