Could fuzzy logic be used to build a case when the laws become contradictory? Maybe after the case is built it could be passed on to legal counsel for approval.
In practice, rules engines are almost never more useful than just coding things up normally in the language of your choice when encoding/building the logic for your product. You just have a few business rules that change within your company via conversations, projects, and people involved.
What they're actually useful for is when your product let's your product's users build up logic in some way that you need encoded and executable. In this case the rules are data from your customer. Think a state machine for a Jira ticket/help desk work flow that your customers define, or some workday process that walks your customer's users through new hire onboarding.
Rules engine rules are code; just code in a language that is usually very simple but also (because it's not used anywhere else) completely obscure.
> Could fuzzy logic be used to build a case when the laws become contradictory?
Didn't the Bayesians kill fuzzy logic?