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- W2810305689 abstract "This work focus on the least square method to fit a fuzzy function to longitudinal data given by fuzzy numbers. In order to consider the intrinsic correlation of longitudinal data, we assume that there exits a linear relation among the involved fuzzy numbers that arises from the concept of a joint possibility distribution. We propose a numerical method to solve a fuzzy least square problem taking into account this linear correlation. To this end, we extend the classical least square method by means of the (sup )-J extension principle, which consists of a generalization of Zadeh’s extension principle. Finally, we use our proposal method to fit a longitudinal dataset." @default.
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- W2810305689 date "2018-01-01" @default.
- W2810305689 modified "2023-10-06" @default.
- W2810305689 title "Least Squares Method with Interactive Fuzzy Coefficient: Application on Longitudinal Data" @default.
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- W2810305689 doi "https://doi.org/10.1007/978-3-319-95312-0_12" @default.
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