Evaluation of Customer Satisfaction Based On Food Quality By Using Fuzzy Inference System

Authors

  • Ghazala Zia NCBAE

Abstract

The customer satisfaction level in food quality, food services and cleanliness on the basis of your product or service which help to understand the current position and capabilities of the restaurant. It is an outstanding characteristic of business. Although the availability of customer feedback is the basic tool to evaluate the food quality of a restaurant, numerous parts of hygiene need to be evaluated collectively.  Designed a model which is a fuzzy inference system. With the help of this model you can easily control this issue. Fuzzy inference system create that weaker measurements of the example restaurant are that facility staff should think about the necessities of the client, agreeable seats in the lounge area, clients' should be appreciated by the help staff exact promoting, receiving the client comment and continuing rapidity and quality of service during active times.  Using Fuzzy inference system restaurants can easily identify the existing service quality level and easily focus on weaker qualities to improve their service quality.

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Published

2022-03-31 — Updated on 2022-04-20

How to Cite

Ghazala Zia. (2022). Evaluation of Customer Satisfaction Based On Food Quality By Using Fuzzy Inference System. Journal of NCBAE, 1(1). Retrieved from https://jncbae.com/index.php/home3/article/view/7

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