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
2080
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.
Discuss the concept of data driven, model driven, knowledge driven, and document driven DSS.
Explain networking issues involved in enterprise-wide DSS.
Discuss architecture of web based DSS.
Group B
Attempt any eight questions.
Why DSS is important? Discuss the characteristics of DSS?
Differentiate between structured and unstructured decisions. How DSS helps in decision making? Explain briefly.
Discuss the factors of DSS UI design process.
List various data mining tools and technique. Explain case base reasoning technique.
Describe the source of errors in expert system development.
What is fuzzy rule? How fuzzy reasoning is done in expert system?
Explain types of fuzzy expert systems in detail.
Discuss the types of persons interacting with expert systems.
Write short notes on:
a. ROMC Design Approach
b. Group Decision Support System