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Type-3 Fuzzy Prediction

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Type-3 Fuzzy Logic in Time Series Prediction

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

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Abstract

The essential constructs in type-3 fuzzy logic and their utilization in prediction are offered in this monograph. The focus is on the fundamental reasons for utilizing type-3 in achieving an accurate prediction. Type-3 is a novel theory to model uncertainty that can be utilized in prediction. Type-2 have been previously used as a way for considering prediction, but recently type-3 offers an alternative in considering more complex prediction problems. In this work, we review the constructs of type-3, which are studied in a more thorough way.

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Authors and Affiliations

  1. Division of Graduate Studies, Tijuana Institute of Technology, TecNM, Tijuana, Baja California, Mexico

    Oscar Castillo

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, TecNM, Tijuana, Baja California, Mexico

    Patricia Melin

Authors
  1. Oscar Castillo
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  2. Patricia Melin
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Correspondence to Oscar Castillo .

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Castillo, O., Melin, P. (2024). Type-3 Fuzzy Prediction. In: Type-3 Fuzzy Logic in Time Series Prediction. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-031-59714-5_1

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