Question

Difference between expert system and fuzzy expert system

Answer 1

Fuzzy Inference Systems  (FIS) and Expert Systems are very similar. Both deal with collections of rules, by differences exist in the mechanics in generating answers to questions and data representation.

Expert System deal with facts and rules that are chained together using an automated reasoning process. Typically, the system will use forward or backward chaining algorithms depending upon whether you’re trying to discover new facts or prove a statement, respectively.

FIS use fuzzy sets and membership functions to describe various phenomenon. Two sets are connected through fuzzy rules. Typically, the inputs and outputs are numeric scores that correspond to input values or average membership values of the fuzzy sets, respectively.

Answer 2

Answer:

Expert systems are computer-based systems that mimic the logical processes of human experts or organizations to give advice in a specific domain of knowledge. Fuzzy expert systems use fuzzy logic to handle uncertainties generated by imprecise, incomplete and/or vague information.

Explanation:

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