General decomposition of fuzzy relations: Semi-tensor product approach-Reference-Cited by-同舟云学术

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General decomposition of fuzzy relations: Semi-tensor product approach

Published:2020-04 Issue: Volume:384 Page:75-90
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Fan Hongbiao^ORCID,Feng Jun-e^ORCID,Meng Min,Wang Biao

Funder

NNSF

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference21 articles.

1. Solving fuzzy relational equations via semi-tensor product;Cheng;IEEE Trans. Fuzzy Syst.,2012

2. Analysis and Control of Boolean Networks — A Semi-tensor Product Approach;Cheng,2011

3. A survey on semi-tensor product of matrices;Cheng;J. Syst. Sci. Complex.,2007

4. An Introduction to Semi-tensor Product of Matrices and Its Applications;Cheng,2012

5. Introduction to Algorithms;Cormen,2001

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1. Least squares solutions of matrix equation $ AXB = C $ under semi-tensor product;Electronic Research Archive;2024

2. Distribution-based limited fuzzy bisimulations for nondeterministic fuzzy transition systems;Journal of the Franklin Institute;2024-01

3. Construction of Universal Approximators for Multi-Input Single-Output Hierarchical Fuzzy Systems;IEEE Transactions on Fuzzy Systems;2023-12

4. Decomposition of Fuzzy Relations: An Application to the Definition, Construction and Analysis of Fuzzy Preferences;Axioms;2023-11-24

5. Inverse inference based on interpretable constrained solutions of fuzzy relational equations with extended max–min composition;Soft Computing;2023-10-27

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