Big data-driven fuzzy cognitive map for prioritising it service procurement in the public sector

HIGHLIGHTS

• who: Youngseok Choi from the bSullivan and Woodall (1994) propose a method based on Markov model. They use a probability distribution function to obtain the linguistic labels. The basic idea is to assign the linguistic measures after defining interval of time series data. The results of the timeinvariant Markov model is compared with those of time-invariant fuzzy time series models (Song and Chissom, ). Chen (1996) propose a randomly chosen length of an interval for a fuzzification. It is based on the distribution-based length and several length intervals are applied to identify the best forecasting results . . .
  

   

  

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