Unique solvability of max-min fuzzy equations and strong regularity of matrices over fuzzy algebra
Fuzzy Sets and Systems - Special issue: fuzzy relations, part 2
Simple image set of (max, +) linear mappings
Discrete Applied Mathematics
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
Fuzzy Relation Equations and Their Applications to Knowledge Engineering
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For a given linear mapping, determined by a square matrix A in a max-min algebra, the set S"A consisting of all vectors with a unique pre-image (in short: the simple image set of A) is considered. It is shown that if the matrix A is generally trapezoidal, then the closure of S"A is a subset of the set of all eigenvectors of A. In the general case, there is a permutation @p, such that the closure of S"A is a subset of the set of all eigenvectors permuted by @p. The simple image set of the matrix square and the topological aspects of the problem are also described.