16 citations · 19 across the 14 of their papers we have counts for
14 papers
Differential Convolutional Fuzzy Time Series Forecasting
Tianxiang Zhan, Yuanpeng He, Yong Deng +1
Fuzzy time series forecasting (FTSF) is a typical forecasting method with wide application. Traditional FTSF is regarded as an expert system which leads to loss of the ability to r…
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window
Yuanpeng He
The proposed method in this paper is designed to address the problem of time series forecasting. Although some exquisitely designed models achieve excellent prediction performances…
GoogLe2Net: Going Transverse with Convolutions
Yuanpeng He
Capturing feature information effectively is of great importance in vision tasks. With the development of convolutional neural networks (CNNs), concepts like residual connection an…
DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting
Tianxiang Zhan, Yuanpeng He, Hanwen Li +1
Time series forecasting is a hot spot in recent years. Visibility Graph (VG) algorithm is used for time series forecasting in previous research, but the forecasting effect is not a…
Construction Cost Index Forecasting: A Multi-feature Fusion Approach
Tianxiang Zhan, Yuanpeng He, Fuyuan Xiao
The construction cost index is an important indicator of the construction industry. Predicting CCI has important practical significance. This paper combines information fusion with…
Uncertainty Measurement of Basic Probability Assignment Integrity Based on Approximate Entropy in Evidence Theory
Tianxiang Zhan, Yuanpeng He, Hanwen Li +1
Evidence theory is that the extension of probability can better deal with unknowns and inaccurate information. Uncertainty measurement plays a vital role in both evidence theory an…
Fortified quantum mass function utilizing ordinal pictorial check based on time interval analysis and expertise
Yuanpeng He
Information management has enter a completely new era, quantum era. However, there exists a lack of sufficient theory to extract truly useful quantum information and transfer it to…
MMGET: A Markov model for generalized evidence theory
Yuanpeng He
In real life, lots of information merges from time to time. To appropriately describe the actual situations, lots of theories have been proposed. Among them, Dempster-Shafer eviden…
Quantum soft likelihood function based on ordered weighted average operator
Tianxiang Zhan, Yuanpeng He, Fuyuan Xiao
Quantum theory is the focus of current research. Likelihood functions are widely used in many fields. Because the classic likelihood functions are too strict for extreme data in pr…
An approach utilizing negation of extended-dimensional vector of disposing mass for ordinal evidences combination in a fuzzy environment
Yuanpeng He
How to measure the degree of uncertainty of a given frame of discernment has been a hot topic for years. A lot of meaningful works have provided some effective methods to measure t…
Combining conflicting ordinal quantum evidences utilizing individual reliability
Yuanpeng He
How to combine uncertain information from different sources has been a hot topic for years. However, with respect to ordinal quantum evidences contained in information, there is no…
Ordinal relative belief entropy
Yuanpeng He
Specially customised Entropies are widely applied in measuring the degree of uncertainties existing in the frame of discernment. However, all of these entropies regard the frame as…
A Matrix-based Distance of Pythagorean Fuzzy Set and its Application in Medical Diagnosis
Yuanpeng He, Lijian Li, Tianxiang Zhan
The pythagorean fuzzy set (PFS) which is developed based on intuitionistic fuzzy set, is more efficient in elaborating and disposing uncertainties in indeterminate situations, whic…
TDQMF: Two-dimensional quantum mass function
Yuanpeng He
Quantum mass function has been applied in lots of fields because of its efficiency and validity of managing uncertainties in the form of quantum which can be regarded as an extensi…