A rule-based system is a system that's applied on semi-synthetic rules to store and manipulate information. In doing so, it tries to repeat human intelligence. In terms of working, rule-based systems need a collection of facts or a supply of knowledge and a collection of rules for manipulating that information. These rules are typically named as ‘If statements’ as they have a tendency to usually follow the logic of ‘IF X happens THEN do Y’.r Check
Rule-based systems are also known as production systems or expert systems.
There seem to be four different ways people think about and want to use rules:
Automated reasoning using first-order became generally feasible in 1965 with Robinson's resolution and hyper resolution algorithms. Today a ton of automated theorem provers continue this tradition, but they see little use of it in general computing. The strength here is general expressive power - the machine performs classical logic operations; the weakness here is that such systems generally are too practical, causing real-world application problems.\\
In 1970-1972, Prolog introduced Logic Programming, which took a restricted form of first-order logic (Horn clauses) and offered to prove things with them in a deterministic order, very much like running a program. Prolog always chains backward from a query.
Production systems present rules as being "triggered" and causing actions.
Modern reasoners and rule systems often use a complex hybrid of strategies or are simply developed for a focussed application domain.
In a rule-based language, programs consist of a set of rules. Each rule has two parts, called the head that represents the consequences and the body that represents premises, respectively. A rule-based system attempts to derive execution instructions from a starting set of data and rules.
Rule-based classifiers are just another type of classifiers that make the class decision depending on using various “if /then” rules. These rules are easily interpretable and thus these classifiers are generally used to generate descriptive models. The condition used with “if” is called the antecedent and the predicted class of each rule is called the consequent.
Properties of rule-based classifiers:
Fuzzy rule-based systems are rule-based systems, where fuzzy sets and fuzzy logic are used as tools for representing different forms of knowledge about the problem at hand, as well as for modeling the interactions and relationships existing between its variables.
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