Neural Network and Fuzzy Logic MCQ Quiz - Multiple Choice Questions & Answers

1. ..................is/are the way/s to represent uncertainty.

1. Fuzzy Logic
2. Probability
3. Entropy
4. All of the mentioned

2. .................are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic.

1. Fuzzy Relational DB
2. Ecorithms
3. Fuzzy Set
4. None of the mentioned

3. A model of language consists of the categories which does not include

1. Language units
2. Role structure of units
3. System constraints
4. Structural units

4. A mouse device may be:

1. electro-chemical
2. mechanical
3. optical
4. both b and c

5. A........................is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.

1. Decision tree
2. Graphs
3. Trees
4. Neural Networks

6. An expert system differs from a database program in that only an expert system:

1. contains declarative knowledge
2. contains procedural knowledge
3. features the retrieval of stored information
4. expects users to draw their own conclusions

7. Arthur Samuel is linked inextricably with a program that played:

1. checkers
2. chess
3. cricket
4. football

8. Chance Nodes are represented by,

1. Disks
2. Squares
3. Circles
4. Triangles

9. Decision Nodes are represented by,

1. Disks
2. Squares
3. Circles
4. Triangles

10. Decision Tree is

1. Flow-Chart
2. Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label
3. Both a & b
4. None of the mentioned