Any soft computing methodology is characterized with —
2022
Any soft computing methodology is characterized with —
- A.
Control action is formally defined
- B.
Algorithm which can easily adapt with the change of dynamic environment
- C.
Precise solution
- D.
Control actions are unambiguous and accurate
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Correct answer: B
Soft computing includes: Fuzzy Logic
Neural Networks
Genetic Algorithms
These methods are not strict and not precise , but instead: Handle uncertainty
Provide approximate solutions
Adapt to dynamically changing environments
Therefore, soft computing is characterized by adaptability , not formal or precise control. Important Points (English) Soft computing is a computational approach that deals with imprecision and uncertainty .
It includes techniques like Fuzzy Logic , Neural Networks , and Genetic Algorithms .
Soft computing does not require exact models or precise inputs .
It focuses on providing approximate but acceptable solutions .
These methods can learn and adapt to changing environments.
Soft computing systems are flexible and robust .
It is widely used in AI, machine learning, control systems, pattern recognition , and decision-making.
The key characteristic of soft computing is adaptability , not strict formal control.