Tribhuvan University
Bachelor of Science in Computer Science and Information Technology
Semester 8 · TU Board 2080
Course Title: Decision Support System and Expert System (CSC469)
Full Marks: 60Pass Marks: 24Time: 3 hours
Candidates are required to give their answers in their own words as far as practicable. The figures in the margin indicate full marks.
Group A
Attempt any two questions.(2 × 10 = 20)
- 1.10
Discuss the concept of data driven, model driven, knowledge driven, and document driven DSS.
- 2.10
Explain networking issues involved in enterprise-wide DSS.
- 3.10
Discuss architecture of web based DSS.
Group B
Attempt any eight questions.(8 × 5 = 40)
- 4.5
Why DSS is important? Discuss the characteristics of DSS?
- 5.5
Differentiate between structured and unstructured decisions. How DSS helps in decision making? Explain briefly.
- 6.5
Discuss the factors of DSS UI design process.
- 7.5
List various data mining tools and technique. Explain case base reasoning technique.
- 8.5
Describe the source of errors in expert system development.
- 9.5
What is fuzzy rule? How fuzzy reasoning is done in expert system?
- 10.5
Explain types of fuzzy expert systems in detail.
Answer comingAlso asked in 2079
- 11.5
Discuss the types of persons interacting with expert systems.
- 12.5
Write short notes on:
a) ROMC Design Approach
b) Group Decision Support System
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