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05/15/2023
Differential Convolutional Fuzzy Time Series Forecasting
Fuzzy time series forecasting (FTSF) is a typical forecasting method wit...
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01/31/2023
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window
The proposed method in this paper is designed to address the problem of ...
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01/01/2023
GoogLe2Net: Going Transverse with Convolutions
Capturing feature information effectively is of great importance in visi...
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11/07/2021
DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting
Time series forecasting has always been a hot spot in scientific researc...
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08/18/2021
Construction Cost Index Forecasting: A Multi-feature Fusion Approach
The construction cost index is an important indicator in the constructio...
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05/16/2021
Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory
Evidence theory is that the extension of probability can better deal wit...
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05/14/2021
Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertise
Information management has enter a completely new era, quantum era. Howe...
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05/12/2021
MMGET: A Markov model for generalized evidence theory
In real life, lots of information merges from time to time. To appropria...
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04/06/2021
An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environment
How to measure the degree of uncertainty of a given frame of discernment...
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04/01/2021
Combining conflicting ordinal quantum evidences utilizing individual reliability
How to combine uncertain information from different sources has been a h...
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02/21/2021
Ordinal relative belief entropy
Specially customised Entropies are widely applied in measuring the degre...
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01/31/2021