Matches in SemOpenAlex for { <https://semopenalex.org/work/W1811592017> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W1811592017 endingPage "1087" @default.
- W1811592017 startingPage "1076" @default.
- W1811592017 abstract "The management of data resources and the int index limitation of computers is always a great bottleneck in big data. For example, ARIMA is one of the most important statistical models. For the int index limitation, in 32-bit computers, the maximum seasonality supported by ARIMA is 350, or ARIMA will run out of memory; this bottleneck cannot be overcome by increasing the computer's memory. In this paper, a new fuzzy system model – a type-2 fuzzy event parallel computing system is proposed with novel type-reduction computational optimisation technique and J˜-plane type-2 fuzzy probabilistic parallel computing, to overcome the bottleneck. Being different from conventional fuzzy logic systems whose inference engine are based on IF-THEN rules, the new system incorporates statistical inference with type-2 fuzzy events. The system extends ARIMA to provide unlimited maximum seasonality support, at the same time, it retains the benefits of ARIMA in accurate computing and the specialties of fuzzy logic in uncertainty modelling. The system is applied in real world long period uncertain data-intensive seasonal time series – Wireless Soft-Switch CAPS (Call Attempt Per Second) forecasting. As a series of concepts, algorithms, experiments and results prove, a type-2 fuzzy event parallel computing system is viable in practice, which realises fuzzy system models evolve from the models based on IF-THEN rules to the models incorporating statistical inference with type-2 fuzzy events." @default.
- W1811592017 created "2016-06-24" @default.
- W1811592017 creator A5041912062 @default.
- W1811592017 date "2016-01-01" @default.
- W1811592017 modified "2023-09-27" @default.
- W1811592017 title "Type-2 fuzzy event parallel computing system: Overcoming computer int index limitation in big data" @default.
- W1811592017 cites W1971869067 @default.
- W1811592017 cites W1993503008 @default.
- W1811592017 cites W1994680269 @default.
- W1811592017 cites W2000507891 @default.
- W1811592017 cites W2038190934 @default.
- W1811592017 cites W2046738003 @default.
- W1811592017 cites W2050050052 @default.
- W1811592017 cites W2050288270 @default.
- W1811592017 cites W2079325629 @default.
- W1811592017 cites W2092261825 @default.
- W1811592017 cites W2105234323 @default.
- W1811592017 cites W2130915832 @default.
- W1811592017 cites W2131453387 @default.
- W1811592017 cites W4211007335 @default.
- W1811592017 cites W4361751214 @default.
- W1811592017 doi "https://doi.org/10.1016/j.asoc.2015.06.050" @default.
- W1811592017 hasPublicationYear "2016" @default.
- W1811592017 type Work @default.
- W1811592017 sameAs 1811592017 @default.
- W1811592017 citedByCount "10" @default.
- W1811592017 countsByYear W18115920172016 @default.
- W1811592017 countsByYear W18115920172017 @default.
- W1811592017 countsByYear W18115920172018 @default.
- W1811592017 countsByYear W18115920172019 @default.
- W1811592017 countsByYear W18115920172020 @default.
- W1811592017 countsByYear W18115920172021 @default.
- W1811592017 crossrefType "journal-article" @default.
- W1811592017 hasAuthorship W1811592017A5041912062 @default.
- W1811592017 hasConcept C119857082 @default.
- W1811592017 hasConcept C124101348 @default.
- W1811592017 hasConcept C149635348 @default.
- W1811592017 hasConcept C151406439 @default.
- W1811592017 hasConcept C154945302 @default.
- W1811592017 hasConcept C24338571 @default.
- W1811592017 hasConcept C2780513914 @default.
- W1811592017 hasConcept C41008148 @default.
- W1811592017 hasConcept C49937458 @default.
- W1811592017 hasConcept C58166 @default.
- W1811592017 hasConceptScore W1811592017C119857082 @default.
- W1811592017 hasConceptScore W1811592017C124101348 @default.
- W1811592017 hasConceptScore W1811592017C149635348 @default.
- W1811592017 hasConceptScore W1811592017C151406439 @default.
- W1811592017 hasConceptScore W1811592017C154945302 @default.
- W1811592017 hasConceptScore W1811592017C24338571 @default.
- W1811592017 hasConceptScore W1811592017C2780513914 @default.
- W1811592017 hasConceptScore W1811592017C41008148 @default.
- W1811592017 hasConceptScore W1811592017C49937458 @default.
- W1811592017 hasConceptScore W1811592017C58166 @default.
- W1811592017 hasLocation W18115920171 @default.
- W1811592017 hasOpenAccess W1811592017 @default.
- W1811592017 hasPrimaryLocation W18115920171 @default.
- W1811592017 hasRelatedWork W2082074857 @default.
- W1811592017 hasRelatedWork W2144548172 @default.
- W1811592017 hasRelatedWork W2353647904 @default.
- W1811592017 hasRelatedWork W2354251581 @default.
- W1811592017 hasRelatedWork W2357461155 @default.
- W1811592017 hasRelatedWork W2384129116 @default.
- W1811592017 hasRelatedWork W2953976309 @default.
- W1811592017 hasRelatedWork W3145924829 @default.
- W1811592017 hasRelatedWork W3152267458 @default.
- W1811592017 hasRelatedWork W4290792893 @default.
- W1811592017 hasVolume "38" @default.
- W1811592017 isParatext "false" @default.
- W1811592017 isRetracted "false" @default.
- W1811592017 magId "1811592017" @default.
- W1811592017 workType "article" @default.