Application of Fuzzy Decision Models in Flexible Manufacturing Systems: Mamdani and Takagi-Sugeno on Literature Reviews

EasyChair Preprint 15799

Abstract

Flexible Manufacturing Systems (FMS) require robust decision-making models to handle dynamic and uncertain environments. This study explores the application of fuzzy decision-making models in both contexts, focusing on the comparative performance of Mamdani and Takagi-Sugeno systems. A case study approach evaluates their efficacy in optimizing production scheduling, resource allocation, and demand forecasting. Results highlight the strengths and limitations of each model, providing insights into their practical applicability in FMS.

Keyphrases: Fuzzy Logic, Mamdani systems, Takagi-Sugeno systems, decision-making models

@booklet{EasyChair:15799,
  author    = {Irada Zeynalabdiyeva},
  title     = {Application of Fuzzy Decision Models in Flexible Manufacturing Systems: Mamdani and Takagi-Sugeno on Literature Reviews},
  howpublished = {EasyChair Preprint 15799},
  year      = {EasyChair, 2025}}