Matches in SemOpenAlex for { <https://semopenalex.org/work/W3019782876> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W3019782876 endingPage "12" @default.
- W3019782876 startingPage "1" @default.
- W3019782876 abstract "In this paper, we propose a particle swarm optimization method incorporating quantum qubit operation to construct and optimize fuzzy rule-based classifiers. The proposed algorithm, denoted as QiQPSO, is inspired by the quantum computing principles. It employs quantum rotation gates to update the probability of each qubit with the corresponding quantum angle updating according to the update equation of the quantum-behaved particle swarm optimization (QPSO). After description of the principle of QiQPSO, we show how to apply QiQPSO to establish a fuzzy classifier through two procedures. The QiQPSO algorithm is first used to construct the initial fuzzy classification system based on the sample data and the grid method of partitioning the feature space, and then the fuzzy rule base of the initial fuzzy classifier is optimized further by QiQPSO in order to reduce the number of the fuzzy rules and thus improve its interpretability. In order to verify the effectiveness of the proposed method, QiQPSO is tested on various real-world classification problems. The experimental results show that the QiQPSO is able to effectively select feature variables and fuzzy rules of the fuzzy classifiers with high classification accuracies. The performance comparison with other methods also shows that the fuzzy classifier optimized by QiQPSO has higher interpretability as well as comparable or even better classification accuracies." @default.
- W3019782876 created "2020-05-01" @default.
- W3019782876 creator A5006414413 @default.
- W3019782876 creator A5039622015 @default.
- W3019782876 creator A5091688285 @default.
- W3019782876 date "2020-04-27" @default.
- W3019782876 modified "2023-10-15" @default.
- W3019782876 title "Construction and Optimization of Fuzzy Rule-Based Classifier with a Swarm Intelligent Algorithm" @default.
- W3019782876 cites W1965396355 @default.
- W3019782876 cites W1975288388 @default.
- W3019782876 cites W1977305771 @default.
- W3019782876 cites W1999127798 @default.
- W3019782876 cites W2028063358 @default.
- W3019782876 cites W2035660096 @default.
- W3019782876 cites W2045184311 @default.
- W3019782876 cites W2047501124 @default.
- W3019782876 cites W2049282057 @default.
- W3019782876 cites W2122274805 @default.
- W3019782876 cites W2123704647 @default.
- W3019782876 cites W2131183806 @default.
- W3019782876 cites W2136035344 @default.
- W3019782876 cites W2140208274 @default.
- W3019782876 cites W2142835304 @default.
- W3019782876 cites W2169245194 @default.
- W3019782876 doi "https://doi.org/10.1155/2020/9319364" @default.
- W3019782876 hasPublicationYear "2020" @default.
- W3019782876 type Work @default.
- W3019782876 sameAs 3019782876 @default.
- W3019782876 citedByCount "4" @default.
- W3019782876 countsByYear W30197828762022 @default.
- W3019782876 countsByYear W30197828762023 @default.
- W3019782876 crossrefType "journal-article" @default.
- W3019782876 hasAuthorship W3019782876A5006414413 @default.
- W3019782876 hasAuthorship W3019782876A5039622015 @default.
- W3019782876 hasAuthorship W3019782876A5091688285 @default.
- W3019782876 hasBestOaLocation W30197828761 @default.
- W3019782876 hasConcept C11413529 @default.
- W3019782876 hasConcept C121332964 @default.
- W3019782876 hasConcept C124101348 @default.
- W3019782876 hasConcept C153180895 @default.
- W3019782876 hasConcept C154945302 @default.
- W3019782876 hasConcept C203087015 @default.
- W3019782876 hasConcept C2780049643 @default.
- W3019782876 hasConcept C2781067378 @default.
- W3019782876 hasConcept C33923547 @default.
- W3019782876 hasConcept C41008148 @default.
- W3019782876 hasConcept C42011625 @default.
- W3019782876 hasConcept C58166 @default.
- W3019782876 hasConcept C62520636 @default.
- W3019782876 hasConcept C84114770 @default.
- W3019782876 hasConcept C85617194 @default.
- W3019782876 hasConcept C95623464 @default.
- W3019782876 hasConceptScore W3019782876C11413529 @default.
- W3019782876 hasConceptScore W3019782876C121332964 @default.
- W3019782876 hasConceptScore W3019782876C124101348 @default.
- W3019782876 hasConceptScore W3019782876C153180895 @default.
- W3019782876 hasConceptScore W3019782876C154945302 @default.
- W3019782876 hasConceptScore W3019782876C203087015 @default.
- W3019782876 hasConceptScore W3019782876C2780049643 @default.
- W3019782876 hasConceptScore W3019782876C2781067378 @default.
- W3019782876 hasConceptScore W3019782876C33923547 @default.
- W3019782876 hasConceptScore W3019782876C41008148 @default.
- W3019782876 hasConceptScore W3019782876C42011625 @default.
- W3019782876 hasConceptScore W3019782876C58166 @default.
- W3019782876 hasConceptScore W3019782876C62520636 @default.
- W3019782876 hasConceptScore W3019782876C84114770 @default.
- W3019782876 hasConceptScore W3019782876C85617194 @default.
- W3019782876 hasConceptScore W3019782876C95623464 @default.
- W3019782876 hasFunder F4320321001 @default.
- W3019782876 hasLocation W30197828761 @default.
- W3019782876 hasOpenAccess W3019782876 @default.
- W3019782876 hasPrimaryLocation W30197828761 @default.
- W3019782876 hasRelatedWork W1490709620 @default.
- W3019782876 hasRelatedWork W2167582322 @default.
- W3019782876 hasRelatedWork W2470928446 @default.
- W3019782876 hasRelatedWork W2563096758 @default.
- W3019782876 hasRelatedWork W2742991909 @default.
- W3019782876 hasRelatedWork W2972035100 @default.
- W3019782876 hasRelatedWork W3116911201 @default.
- W3019782876 hasRelatedWork W4379466760 @default.
- W3019782876 hasRelatedWork W4386053843 @default.
- W3019782876 hasRelatedWork W3158004940 @default.
- W3019782876 hasVolume "2020" @default.
- W3019782876 isParatext "false" @default.
- W3019782876 isRetracted "false" @default.
- W3019782876 magId "3019782876" @default.
- W3019782876 workType "article" @default.