A type-II fuzzy collaborative forecasting approach for productivity forecasting under an uncertainty environment

Forecasting factory productivity is a critical task. However, it is not easy owing to the uncertainty of productivity. Existing methods often forecast productivity using a fuzzy number. However, the range of a fuzzy productivity forecast is wide owing to the consideration of extreme cases. In this s...

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Vydáno v:	Journal of ambient intelligence and humanized computing Ročník 12; číslo 2; s. 2751 - 2763
Hlavní autoři:	Chen, Toly, Wang, Yu-Cheng, Chiu, Min-Chi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021 Springer Nature B.V
Témata:	Accuracy Artificial Intelligence Collaboration Computational Intelligence Engineering Factories Forecasting Fuzzy systems Linear programming Literature reviews Manufacturing Methods Original Research Productivity Robotics and Automation Statistical analysis Time series Uncertainty User Interfaces and Human Computer Interaction Productivity Fuzzy collaborative forecasting Type-II fuzzy number Mixed binary nonlinear programming
ISSN:	1868-5137, 1868-5145
On-line přístup:	Získat plný text
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