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This chapter reviews one of the most important statistical methods for complex and nonlinear relationships. Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is a modern and reliable methodology with a five-layer structure. This methodology addresses issues in diverse fields, such as medicine, engineering, education, and the social sciences. This chapter also discusses the integration of ANFIS and PLS-SEM in addressing study hypotheses and predicting the most important causes of phenomena. The chapter relies on review research included in prestigious databases to demonstrate the practical aspect. Therefore, the chapter discusses the importance of the ANFIS method, resulting from its ability to improve the accuracy of results, monitor complex interactions, and enhance decision-making processes.

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Outline of ANFIS Analysis

  • 章节

  • 发表日期：

    2025年

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  • XinYing Chew,
  • Abbas Gatea Atiyah,
  • Alhamzah Alnoor,
  • Sammar Abbas,
  • Yousif Raad Muhsen,
  • Gül Erkol Bayram

摘要

This chapter reviews one of the most important statistical methods for complex and nonlinear relationships. Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is a modern and reliable methodology with a five-layer structure. This methodology addresses issues in diverse fields, such as medicine, engineering, education, and the social sciences. This chapter also discusses the integration of ANFIS and PLS-SEM in addressing study hypotheses and predicting the most important causes of phenomena. The chapter relies on review research included in prestigious databases to demonstrate the practical aspect. Therefore, the chapter discusses the importance of the ANFIS method, resulting from its ability to improve the accuracy of results, monitor complex interactions, and enhance decision-making processes.