• Publications
  • Influence
Insight of a fuzzy regression model
tl;dr
Fuzzy regression, a nonparametric method, can be quite useful in estimating the relationships among variables where the available data are very limited and imprecise, and variables are interacting in an uncertain, qualitative and fuzzy way. Expand
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The adaptive fuzzy time series model with an application to Taiwan's tourism demand
tl;dr
An adaptive fuzzy time series model for forecasting Taiwan's tourism demand is proposed to further enhance the predicted accuracy. Expand
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Fuzzy relation analysis in fuzzy time series model
Fuzzy relation is a crucial connector in presenting fuzzy time series model. However, how to obtain a fuzzy relation matrix to represent a time-invariant relation is still a question. Based on theExpand
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A FUZZY TIME SERIES-MARKOV CHAIN MODEL WITH AN APPLICATION TO FORECAST THE EXCHANGE RATE BETWEEN THE TAIWAN AND US DOLLAR
In this study, a fuzzy time series-Markov chain approach for analyzing the linguistic or a small sample time series data is proposed to further enhance the predictive accuracy. By transferring fuzzyExpand
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  • Open Access
Decision risk analysis for an interval TOPSIS method
  • Ruey-Chyn Tsaur
  • Computer Science, Mathematics
  • Appl. Math. Comput.
  • 15 December 2011
tl;dr
TOPSIS is a multi-attribute decision making technique for ranking and selection of a number of externally determined alternatives through distance measures. Expand
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Resolution of fuzzy regression model
tl;dr
In this paper, a type of problem with crisp input and fuzzy output described by Tanaka is considered of which a modified fuzzy least square method was proposed for solution. Expand
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Bicriteria variable selection in a fuzzy regression equation
Abstract By considering two criteria of minimum total sum of vagueness and minimum total sum of squares in estimation, this article proposes a variable selection method for a fuzzy regressionExpand
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Forecasting analysis by using fuzzy grey regression model for solving limited time series data
tl;dr
The grey model GM(1,1) is a popular forecasting method when using limited time series data and is successfully applied to management and engineering applications. Expand
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Fuzzy Regression for Seasonal Time Series Analysis
tl;dr
Fuzzy regression model is an alternative to evaluate the relation between independent variables and dependent variable among forecasting models when the data are not sufficient to identify the relation. Expand
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Fuzzy grey GM(1, 1) model under fuzzy system
  • Ruey-Chyn Tsaur
  • Mathematics, Computer Science
  • Int. J. Comput. Math.
  • 1 February 2005
tl;dr
Grey GM(1, 1) forecasting model is a kind of short-term forecasting method which has been successfully applied in management and engineering problems with as little as four data. Expand
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