Lijuan Wan

Affiliations:
  • Qingdao University of Science and Technology, Shandong, China


According to our database1, Lijuan Wan authored at least 16 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Notes on alpha-cross-migrativity of t-conorms over fuzzy implications.
Fuzzy Sets Syst., December, 2023

Uncertain cost information sharing strategy in a closed-loop supply chain.
Int. J. Technol. Manag., 2023

2022
Notes on "On (<i>I</i><sub><i>O</i></sub>, <i>O</i>)-fuzzy rough sets based on overlap functions".
Int. J. Approx. Reason., 2022

Distributivity and conditional distributivity of semi-t-operators over <i>S</i>-uninorms.
Fuzzy Sets Syst., 2022

2021
A note on distributivity and conditional distributivity for <i>S</i>-uninorms.
Fuzzy Sets Syst., 2021

New results on granular variable precision fuzzy rough sets based on fuzzy (co)implications.
Fuzzy Sets Syst., 2021

2020
Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems.
J. Frankl. Inst., 2020

The filtering based auxiliary model generalized extended stochastic gradient identification for a multivariate output-error system with autoregressive moving average noise using the multi-innovation theory.
J. Frankl. Inst., 2020

Expectation maximization identification algorithm for time-delay two-dimensional systems.
J. Frankl. Inst., 2020

Zeroing neural network methods for solving the Yang-Baxter-like matrix equation.
Neurocomputing, 2020

Left and right distributivity between semi-uninorms and semi-<i>S</i>-uninorms.
Int. J. Approx. Reason., 2020

2019
Fitting the exponential autoregressive model through recursive search.
J. Frankl. Inst., 2019

Hierarchical recursive generalized extended least squares estimation algorithms for a class of nonlinear stochastic systems with colored noise.
J. Frankl. Inst., 2019

Particle filtering based parameter estimation for systems with output-error type model structures.
J. Frankl. Inst., 2019

Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory.
Circuits Syst. Signal Process., 2019

2018
Type-2 fuzzy implications and fuzzy-valued approximation reasoning.
Int. J. Approx. Reason., 2018


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