Q8.Marks: +2.0UGC NET Paper 2: Computer Science17th June 2023
Given below are two statements:
Statement I: Fuzzifier is a part of a fuzzy system
Statement II: Inference engine is a part of fuzzy system
In the light of the above statements, choose the most appropriate answer from the options given below.
1.Both Statement I and Statement II are correct ✓ Correct
2.Both Statement I and Statement II are incorrect
3.Statement I is correct but Statement II is incorrect
4.Statement I is incorrect but Statement II is correct
Solution
The correct answer is Both Statement I and Statement II are correct.
Key Points"Fuzzy" in this context refers to a systems or control method that smooths the harsh transitions of binary (on-off, true-false, yes-no) responses to more human-like spectrums of response. Fuzzy systems deal with degrees of truth, as opposed to binary logic which deals with true or false (1 or 0, on or off).
Fuzzifier:
A Fuzzifier is a component of a fuzzy logic system that transforms crisp data inputs to fuzzy logic variables. In simpler terms, it takes a precise or specific input and decides the degree to which this input belongs to each of several predefined fuzzy sets.
Fuzzy sets could be something like "Cold", "Warm", "Hot", when you're talking about expressing the temperature in a fuzzy system.
For instance, If we input temperature data, a Fuzzifier will convert the exact temperature value to a degree of membership to the fuzzy sets of “Cold,” “Warm,” and “Hot.” For example, if the temperature is 25 degrees Celcius, the fuzzifier could interpret that as being "0% Cold", "50% Warm," and "50% Hot." This isn't a binary, it's a smooth transition between sets.
Inference Engine:
Then we have the Fuzzy Inference Engine, which is also a part of any fuzzy system. The Fuzzy Inference Engine applies certain rules (which can be thought of as something similar to if-then clauses) to the fuzzy inputs after they've been calculated by the fuzzifier, to derive fuzzy outputs. This engine basically applies these rules to produce a new fuzzy set as a result.
Continuing the temperature example, the fuzzy inference engine might apply rules like, "IF temperature is Warm THEN fan speed is Medium". These rules are usually set by the human designer of the system, based on some interpretation of what should happen under different circumstances.
After the inference engine processes, a Defuzzifier then turns this fuzzy output back into a specific, crisp (clear and precise) value.
Both Fuzzifier and Inference Engine are indeed components of a fuzzy system, and they are pivotal in making any fuzzy logic model work. So, statement I and statement II are correct.
