Dear Ihsen Jawad Kadhim,

Fuzzy logic is used in Natural Language Processing and a variety of Artificial Intelligence applications. It's used in the aerospace industry to control the altitude of spacecraft and satellites. Modern control systems, such as expert systems, make extensive use of fuzzy logic. In fuzzy logic applications, non-numeric values are often used to facilitate the expression of rules and facts. A linguistic variable such as age may accept values such as young and its antonym old.

For more information about this subject i suggest you to see links on topic.

https://www.investopedia.com/terms/f/fuzzy-logic.asp

https://towardsdatascience.com/a-very-brief-introduction-to-fuzzy-logic-and-fuzzy-systems-d68d14b3a3b8

https://www.guru99.com/what-is-fuzzy-logic.html

https://towardsdatascience.com/tagged/fuzzy-logic

https://www.educba.com/what-is-fuzzy-logic/

https://www.sciencedirect.com/topics/computer-science/fuzzy-logic

https://www.nature.com/articles/s41598-021-81957-3

https://media.neliti.com/media/publications/224331-fuzzy-logic-implementation-on-enemy-spee.pdf

https://analyticsindiamag.com/how-can-fuzzy-logic-be-used-for-rule-based-decision-making/

Chapter Implementation of Fuzzy Logic Control Systems

Article Real-Life Applications of Fuzzy Logic

Article Design and industrial implementation of fuzzy logic control ...

Best regards

Hello Ihsan!

First of all, fuzzy logic is a mathematical logic. The logic helps to capture the uncertainty of the decision-making environment. Fuzzy logic is an "intelligent" logic as well. It is regarded as one of the oldest AI techniques. You will find the applications of fuzzy logic majorly in control systems. Many modern day appliances like air conditioners, washing machines, microwave ovens, and vacuum cleaners work based on fuzzy logic. There are numerous other applications of this logic that includes facial patterns recognition, anti-skid braking system, unmanned helicopters, transmission system, etc. Regarding the "nature and type of data in fuzzy logic", we may simply say that you must have target and tolerance values. Fuzzy logic has contributed immensely in designing various methodologies for solving multi-objective optimization problems over the past few decades.

I hope that this will help you to understand the topic. All the very best to you.

Hi Ishan

Fuzzy logic can be used for modelling process, control process, regression, classification, etc. You should use numeric data as input.

Best regards

Dear Ihsan Jawad Kadhim

In contribution to colleagues' answers.

In my research I use MATLAB to build indicators of business environments, based on the global value chains approach.

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