Projects per year
Using the concept of (K,L)-eigenvector, we investigate the structure of the max-min eigenspace associated with a given eigenvalue of a matrix in the max-min algebra (also known as fuzzy algebra). In our approach, the max-min eigenspace is split into several regions according to the order relations between the eigenvalue and the components of x. The resulting theory of (K,L)-eigenvectors, being based on the fundamental results of Gondran and Minoux, allows to describe the whole max-min eigenspace explicitly and in more detail.
|Number of pages||15|
|Journal||Fuzzy Sets and Systems|
|Early online date||17 Jul 2020|
|Publication status||Published - 1 May 2021|
Bibliographical noteFunding Information:
Supported by the Czech Science Foundation grant #18-01246S.Supported by EPSRC grant EP/P019676/1.
- Fuzzy algebra
ASJC Scopus subject areas
- Artificial Intelligence
FingerprintDive into the research topics of '(K,L) eigenvectors in max-min algebra'. Together they form a unique fingerprint.
- 1 Finished
Engineering & Physical Science Research Council
1/04/17 → 31/08/19
Project: Research Councils