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Linear interpolation in a fuzzy information space |
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| Authors: | O. V. Verevka I. N. Parasyuk |
| Affiliation: | (1) V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kiev, Ukraine |
| Abstract: | An approach to solving a linear interpolation problem in a fuzzy information space is proposed. Two different schemes of interpolation are outlined: a heuristic one, based on the geometrical interpretation of operations, and an optimization one, based on the expansion principle. The results obtained allow performing fuzzy linear prediction. __________ Translated from Kibernetika i Sistemnyi Analiz, No. 2, pp. 55–68, March–April 2006. |
| Keywords: | linear interpolation fuzzy numbers bell-shaped membership function fuzzy variables interpolation surface beam fuzzy linear prediction |
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