Decision Support System and Expert System
This course is a study uses of artificial intelligence in business decision making. Emphasis will be given in business decision making process, design and development of decision support systems and expert systems.
Tribhuvan University
Institute of Science and Technology
2079
Bachelor Level / elective-iv-semester / Science
Computer Science and Information Technology( CSC469 )
Decision Support System and Expert System
Full Marks: 60+20+20
Pass Marks: 24+8+8
Time: 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.
Explain DSS framework in detail.
Discuss decision oriented diagnosis to DSS development.
Why GDSS is important? Explain various group decision support systems.
Group B
Attempt any eight questions.
How DSS differs from TPS? Explain.
Explain various DSS project participants.
Differentiate between DSS data and operating data.
Explain the architecture of expert systems in detail.
Discuss fuzzy reasoning process.
Discuss strategic impact grid.
Discuss expert system development life cycle.
Discuss various types of fuzzy expert systems.
Write short notes on:
a. Cost-Effectiveness Analysis
b. Executive DSS