no Ai pleaseFuzzy Logic$-$Based Fake News Detection Example

Suppose we have a news article with the following features that you use to determine whether the article

is likely to be fake news: This Task involves working on several problems, and you will use fuzzy set theory

to solve them.

Word Count: The total number of words in the article.

Emotional Tone: A score indicating the article's emotional tone $($positive$,$ negative, or neutral$).$

Source Reliability: A rating $($on a scale of $0$ to $1)$ representing how reliable the news source is$.$

To describe the qualitative characteristics of the above features and represent its inherently vague or

imprecise, we use these linguistic variables:

Word Count: Low, Medium, High

Emotional Tone: Negative, Neutral, Positive

Source Reliability: Low, Medium, High

These membership functions represent each feature.