Fuzzy logic has been used in numerous applications such as facial pattern recognition, air conditioners, washing machines, vacuum cleaners, antiskid braking systems, transmission systems, control of subway systems and unmanned helicopters, knowledge-based systems for multiobjective optimization of power systems, …
How many outputs are there in a fuzzy logic produce? Discussion Forum
| Que. | How many output Fuzzy Logic produce? |
|---|---|
| b. | 3 |
| c. | 4 |
| d. | 5 |
| Answer: 2 |
Similarly, What are the advantages of fuzzy logic? A Fuzzy Logic System is flexible and allow modification in the rules. Even imprecise, distorted and error input information is also accepted by the system. The systems can be easily constructed.
Which of the following is not application areas of fuzzy logic?
Which of the following is not a part of fuzzy logic Systems Architecture? Explanation: Interference base is not a part of fuzzy logic Systems Architecture.
Where are fuzzy expert systems used?
To date, fuzzy expert systems are the most common use of fuzzy logic. They are used in several wide-ranging fields, including: Linear and nonlinear control. Pattern recognition.
Which of the following is not a part of fuzzy logic systems architecture?
Which of the following is not a part of fuzzy logic Systems Architecture? Explanation: Interference base is not a part of fuzzy logic Systems Architecture.
What are the advantages of neural networks over conventional computers? What are the advantages of neural networks over conventional computers? Explanation: Neural networks learn by example. They are more fault tolerant because they are always able to respond and small changes in input do not normally cause a change in output.
How fuzzy logic is different from conventional control methods? How is Fuzzy Logic different from conventional control methods? Explanation: FL incorporates a simple, rule-based IF X AND Y THEN Z approach to a solving control problem rather than attempting to model a system mathematically.
What is fuzzy logic advantages and disadvantages?
Preferences and Disadvantages of Fuzzy Logic
The structure of Fuzzy Logic systems is simple and justifiable. The fuzzy rationale is generally utilized for business and useful purposes. It encourages you to control machines and purchaser items. It encourages you to manage the vulnerability in designing.
What do you understand by the term fuzzy logic and its advantages and disadvantages? Fuzzy logic is used as a technique for making human decisions while using a machine learning platform or Artificial intelligence. In a general way, it can be described as considering the true variable values between 0 and 1. … Fuzzy logic considers human reasoning as the key data structure to make accurate decisions.
When should we not use fuzzy logic?
(1) If the pmess/plant is strictly linear, or if PID loop control does an adequate job [6] (while the competition is not offering anything better), then fuzzy logic control is not indicated. (2) If high speed is required and fuzzy control rules may be extensive, then fuzzy logic control may not be suitable.
Which of the following is not the promise of artificial neural network? 4. Which of the following is not the promise of artificial neural network? Explanation: The artificial Neural Network (ANN) cannot explain result. 5.
Which is not familiar connectives in first order logic?
Which is not Familiar Connectives in First Order Logic? Explanation: “not” is coming under propositional logic and is therefore not a connective.
Which of the following is not an application areas of Modelling & simulation?
Which of the following is not an Application Areas of Modelling & Simulation? Explanation: Food industry is not an Application Areas of Modelling & Simulation. Modelling is creating a model which represents a system including their properties.
What are the limitations of fuzzy expert systems in the context of a modern world AI? Limitations of Expert System
Unable to make a creative response in an extraordinary situation. Errors in the knowledge base can lead to wrong decision. The maintenance cost of an expert system is too expensive. Each problem is different therefore the solution from a human expert can also be different and more creative.
What is implication in fuzzy logic?
A fuzzy implication is the generalization of the classical one to fuzzy logic, much the same way as a t-norm and a t-conorm are generalizations of the classical conjunction and disjunction, respectively. … Conversely, each special implication is given by a special implicational quantifier”.
Is fuzzy logic an algorithm?
Fuzzy logic algorithm helps to solve a problem after considering all available data. Then it takes the best possible decision for the given the input. The FL method imitates the way of decision making in a human which consider all the possibilities between digital values T and F. What Is Fuzzy Logic?
Which of the following is NOT example of the fuzzy logic? Discussion Forum
| Que. | Which of the following is not a part of fuzzy logic Systems Architecture? |
|---|---|
| b. | Knowledge Base |
| c. | Defuzzification Module |
| d. | Interference base |
| Answer:Interference base |
Which are the main approach of fuzzy inference systems?
Two main types of fuzzy inference systems can be implemented: Mamdani-type (1977) and Sugeno-type (1985). These two types of inference systems vary somewhat in the way outputs are determined. Mamdani-type inference expects the output membership functions to be fuzzy sets.
What are the disadvantages of artificial neural networks? Disadvantages of Artificial Neural Networks (ANN)
- Hardware Dependence: …
- Unexplained functioning of the network: …
- Assurance of proper network structure: …
- The difficulty of showing the problem to the network: …
- The duration of the network is unknown:
What are the advantages of neural networks?
What Are The Advantages of Neural Networks
- Store information on the entire network. …
- The ability to work with insufficient knowledge: …
- Good falt tolerance: …
- Distributed memory: …
- Gradual Corruption: …
- Ability to train machine: …
- The ability of parallel processing:
What are the advantages of neural network ability to learn by example? Discussion Forum
| Que. | What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ‘computational’ rates |
|---|---|
| b. | (i) and (iii) are true |
| c. | Only (i) |
| d. | All are true |