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http://dx.doi.org/10.5351/CKSS.2008.15.4.517

Time Series Using Fuzzy Logic  

Jung, Hye-Young (Department of Mathematics, Yonsei University)
Choi, Seung-Hoe (School of Liberal arts and Sciences, Korea Aerospace University)
Publication Information
Communications for Statistical Applications and Methods / v.15, no.4, 2008 , pp. 517-530 More about this Journal
Abstract
In this paper we introduce a time series model using the triangle fuzzy numbers in order to construct a statistical relation for the data which is a sequence of observations which are ordered in time. To estimate the proposed fuzzy model we split of a universal set includes all observation into closed intervals and determine a number and length of the closed interval by the frequency of events belong to the interval. Also we forecast the data by using a difference between observations when the fuzzified numbers equal at successive times. To investigate the efficiency of the proposed model we compare the ordinal and the fuzzy time series model using examples.
Keywords
Fuzzy time series; fuzzy logic; triangle fuzzy number;
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