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About Artificial Intelligence
Fuzzy logic systems produce acceptable but imprecise outputs in response to fuzzy or ambiguous inputs, similar to how humans reason with intermediate possibilities between yes and no. Fuzzy logic systems have four main parts: fuzzification transforms crisp inputs into fuzzy sets, a knowledge base stores IF-THEN rules, an inference engine makes inferences based on inputs and rules, and defuzzification produces crisp outputs. Natural language processing (NLP) allows computers to communicate using human languages through natural language understanding to analyze language and natural language generation to produce language. NLP faces challenges from ambiguity and uses techniques like lexical analysis, parsing, semantic analysis, and pragmatic analysis. Expert systems are applications that solve complex problems at a human expert level using components like a
Detailed Information
| Author: | ['Rahul Dubey'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 21 |
| Language: | English |
| Format: | |
| Price: | FREE |
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