How many types of random variables are available? a) 1 b) 2 c) 3 d) 4

0 Answers  

---

What is fuzzy logic?

0 Answers  

---

 What does the Bayesian network provides? a) Complete description of the domain b) Partial description of the domain c) Complete description of the problem d) None of the mentioned

1 Answers  

---

Fuzzy logic is a form of a) Two-valued logic b) Crisp set logic c) Many-valued logic d) Binary set logic

0 Answers  

---

______________ is/are the way/s to represent uncertainty. a) Fuzzy Logic b) Probability c) Entropy d) All of the mentioned

0 Answers  

---

---

Why fuzzy logic?

0 Answers  

---

____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned

0 Answers  

---

The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c

1 Answers  

---

Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query

1 Answers  

---

Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) EX-OR

1 Answers  

---

The truth values of traditional set theory is ____________ and that of fuzzy set is __________ a) Either 0 or 1, between 0 & 1 b) Between 0 & 1, either 0 or 1 c) Between 0 & 1, between 0 & 1 d) Either 0 or 1, either 0 or 1

1 Answers  

---

Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False

1 Answers  

---