Define fuzzy inference system? What are the main steps in Fuzzy inference system? Make an inference system for food management system.

A fuzzy inference system (FIS) is a computational framework used in artificial intelligence and knowledge management to handle uncertainty and imprecision in decision-making processes. It is particularly useful when dealing with vague or ambiguous inputs and outputs. Fuzzy logic, upon which FIS is based, allows for the representation of linguistic terms and rules in a manner similar to human reasoning.

The main steps in a fuzzy inference system typically include:

1. Fuzzification: This step involves converting crisp inputs into fuzzy sets. Crisp values from the real world are mapped to fuzzy ____ ________ _____ _____ __________ _________ ________.
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