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      A dynamic group MCDM model with intuitionistic fuzzy set: Perspective of alternative queuing method

      , , ,
      Information Sciences
      Elsevier BV

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          Approximate entropy as a measure of system complexity.

          Techniques to determine changing system complexity from data are evaluated. Convergence of a frequently used correlation dimension algorithm to a finite value does not necessarily imply an underlying deterministic model or chaos. Analysis of a recently developed family of formulas and statistics, approximate entropy (ApEn), suggests that ApEn can classify complex systems, given at least 1000 data values in diverse settings that include both deterministic chaotic and stochastic processes. The capability to discern changing complexity from such a relatively small amount of data holds promise for applications of ApEn in a variety of contexts.
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            Intuitionistic Fuzzy Aggregation Operators

            Zeshui Xu (2007)
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              On ordered weighted averaging aggregation operators in multicriteria decisionmaking

              R.R. Yager (1988)
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                Author and article information

                Journal
                Information Sciences
                Information Sciences
                Elsevier BV
                00200255
                May 2021
                May 2021
                : 555
                : 85-103
                Article
                10.1016/j.ins.2020.12.033
                aeef70c8-7ea8-4d7e-ad55-9f954285a4d4
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

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