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April 1, 2026International Journal of Fuzzy Logic and Intelligent Systems2 citationsOpen Access

Plithogenic Soft Set Models Based on Neutrosophic and Intuitionistic Fuzzy Sets for Multi-Attribute Time Series Forecasting

IMImam MukhlashQAQonita Qurratu AiniMSMuhammad Luthfi Shahab

Key Points

  • This research aims to develop models using plithogenic soft sets combined with neutrosophic and intuitionistic fuzzy sets for effective time series forecasting.
  • Developed plithogenic soft set models
  • Integrated neutrosophic and intuitionistic fuzzy logic
  • Applied models to multi-attribute time series data
  • Analyzed forecasting accuracy and decision-making levels
  • Demonstrated improved forecasting accuracy compared to traditional models
  • Highlighted the effectiveness of incorporating uncertainty into decision-making
  • Provided frameworks applicable in various complex scenarios

Abstract

Imam Mukhlash, Qonita Qurratu Aini, Muhammad Luthfi Shahab, Osman Anis, and Madeleine Al-Tahan. International Journal of Fuzzy Logic and Intelligent Systems 2026;26:116-27. https://doi.org/10.5391/IJFIS.2026.26.1.116

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Cite This Study

Mukhlash et al. (2026) studied this question.

synapsesocial.com/papers/69cd7a095652765b073a6d47https://doi.org/10.5391/ijfis.2026.26.1.116
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