• Dr. Vicky Bhimrao Watkar

Fuzzy Inference Systems (FIS) have gained significant attention due to their ability to handle uncertain & imprecise data. FIS provide an alternative to traditional rule-based systems by using fuzzy sets, which allow for more flexibility in decision-making. This paper presents a review of the different types of FIS, including Mamdani, Sugeno, & Tsukamoto FIS, & their respective applications. Mamdani FIS is widely used in engineering applications, while Sugeno FIS is suitable for decision-making & prediction applications. Tsukamoto FIS is used for modelling non-linear systems. Additionally, the paper discusses the challenges & limitations of FIS & provides suggestions for future research directions. Overall, this review paper provides valuable insights into the types & applications of FIS & highlights the potential benefits & challenges associated with their use.

logic, mathematical logic, fuzzy, fuzzy Interference, fuzzy logic, Application

"Fuzzy Inference Systems: Types & Applications", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 12, page no.g347-g351, December-2022, Available :http://www.jetir.org/papers/JETIR2212653.pdf

"Fuzzy Inference Systems: Types & Applications", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 12, page no. ppg347-g351, December-2022, Available at : http://www.jetir.org/papers/JETIR2212653.pdf