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The authors introduce several convergence concepts of fuzzy sets such as convergent in measure, convergent uniformly, \(\mu\)-uniform convergence and \(L^ p\)-convergent. After defining these concepts, the authors construct an embedding of the space of fuzzy sets in a normed linear space. Then based on this embedding of the space of fuzzy sets in a normed linear space, the authors define the \(L^ p\)-convergence concept. With the help of these, the authors have proved the very interesting property which states that the space of fuzzy sets under the embedding is a complete metric space.
\(L^ p\)-convergent, Applied Mathematics, convergence concepts of fuzzy sets, embedding of the space of fuzzy sets in a normed linear space, Fuzzy functional analysis, convergent uniformly, convergent \(\mu\)-uniformly, Theory of fuzzy sets, etc., convergent in measure, Analysis
\(L^ p\)-convergent, Applied Mathematics, convergence concepts of fuzzy sets, embedding of the space of fuzzy sets in a normed linear space, Fuzzy functional analysis, convergent uniformly, convergent \(\mu\)-uniformly, Theory of fuzzy sets, etc., convergent in measure, Analysis
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