Fuzzy Time Series Estimation and Prediction: Criticism, Suitable New Methods and Experimental Evidence | Zendy

Vasile Georgescu | Zendy

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Fuzzy Time Series Estimation and Prediction: Criticism, Suitable New Methods and Experimental Evidence

Author(s) -

Vasile Georgescu

Publication year - 2010

Publication title -

studies in informatics and control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.321

H-Index - 22

eISSN - 1841-429X

pISSN - 1220-1766

DOI - 10.24846/v19i3y201003

Subject(s) - computer science , series (stratigraphy) , time series , fuzzy logic , estimation , criticism , artificial intelligence , machine learning , data mining , law , paleontology , management , political science , economics , biology

We consider an extension of the probability space ] ; ; [ P A by the dimension of fuzziness, i.e., by introducing a membership scale. This enables the consideration of imprecise observations as fuzzy realizations X x x x n ) ~ , , ~ ( ) ( ~ 1 of each elementary event . We will restrict attention to the class ) ( C F of normal convex fuzzy sets on , whose -level sets are in the class ) ( C K of nonempty compact real intervals.

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