Restaurant Ranking System using Fuzzy TOPSIS, Fuzzy AHP & Fuzzy Synthetic Evaluation Techniques

This research aims to build an efficient and organized restaurant ranking system. The prime target is to valuate and compare the performance of fuzzy analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) techniques in this ranking system. Another objective of this system is to elevate stability and precision in ranking. On the other hand, traditional methods like scoring model, priority-based method and some other constantly strive with instability and perspective in customer preferences. The final result exhibit better performance of the proposed system compared to various traditional methods, exhibiting enhanced robustness and precision.