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Rainfall Assessment Using Weighted Interval Type-2 Fuzzy Inference System

Author

Listed:
  • R. Syed Aamir Adnan

    (Department of Mathematics, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India)

  • R. Kumaravel

    (Department of Career Development Center, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur-603 203, Tamil Nadu, India)

Abstract

This study proposes an integrated model for assessing rainfall in Chennai using the Interval type-2 fuzzy reasoning technique and the Analytic Hierarchy Process (AHP). Interval Type-2 Fuzzy Inference System (IT2FIS) is employed to describe complex relationship between the rainfall variables and rainfall rate by considering individual weights of those variables through the aggregation of criteria weights using AHP. The suggested approach has an edge over its predecessors in terms of modeling the inter-personal and intra-personal uncertainty involved in rainfall rate classification. Finally, the developed rainfall model (RM) is applied on the historical dataset collected from Indian Meteorological Department (IMD). The actual data and the IT2FIS model’s performance are compared. Correlation coefficient (R2) and Bland–Altman Plot (BAP) have been used to evaluate the performance metrics of the proposed model. The outcome suggests that the AHP-IT2FIS model can accurately estimate rainfall over time, indicating its potential for long-term use.

Suggested Citation

  • R. Syed Aamir Adnan & R. Kumaravel, 2025. "Rainfall Assessment Using Weighted Interval Type-2 Fuzzy Inference System," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 723-742, November.
    • Handle: RePEc:wsi:nmncxx:v:21:y:2025:i:03:n:s1793005725500346
    DOI: 10.1142/S1793005725500346
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