Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association
Online ISSN : 2424-2586
Print ISSN : 1345-1510
ISSN-L : 1345-1510
13
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Formulation of Fuzzy Auto-Regressive Time-Series Analysis
J. WatadaY. ToyouraY. Yabuuchi
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Pages 142-145

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Abstract
In the analysis of medical and economic data, it is important to precisely grasp the present state of their systems. These human systems such as economical system or human bodies are influenced by many uncertain factors. Therefore, the systems are modeled as a complex one. It is not sufficient to understand time-series data by means of statistical methods and most important to analyze and understand the data in terms of the concept of fuzziness. In this paper, we employ the fuzzy concept into modeling time-series data and formulate fuzzy AR regression analysis.
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© 2000 Biomedical Fuzzy Systems Association
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