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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Bibliographic Details
Published in:	Journal of ambient intelligence and humanized computing Vol. 12; no. 2; pp. 2751 - 2763
Main Authors:	Chen, Toly, Wang, Yu-Cheng, Chiu, Min-Chi
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
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