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Decision Support And Expert Systems(Bbit 421/Cis 427) Question Paper

Decision Support And Expert Systems(Bbit 421/Cis 427)

Course:Computer Information Systems And Business Information Technology

Institution: Kenya Methodist University question papers

Exam Year:2011

TIME : 2 HOURS
INSTRUCTIONS Answer Question ONE (compulsory) and any Other TWO Questions

Question 1
a) Explain the following terms
i) Forward chaining
ii) Backward chaining
iii) Problem domain
iv) Procedural knowledge
v) declarative knowledge
vi) Data mining (12marks)
b) Distinguish between the following terms
i) Inference engine and Heuristics (4marks)
ii) Knowledge base and Knowledge acquisition bottleneck (4marks)
c) Making reference to practical illustrations, elaborate on how decision support systems can be used to accomplish the following
i) What if analysis
ii) Forecasting
iii) Modeling
iv) Trend analysis
v) Sensitivity analysis (10marks)

Question 2
a) With specific examples analyze the key factors you would consider when examining the appropriateness of an expert system paradigm for a given domain (8marks)
b) Describe six major application areas of expert systems (12marks)

Question 3
a) Explain the critical limitations of expert systems that exert significant challenges to their full-scale utilization. (8marks)
b) Using appropriate characteristics distinguish between decision support and expert systems. (12marks)

Question 4
a) Examine the key stages of knowledge acquisition propounded through Buchanan et al’ model (10marks)
b) Discuss the merits of utilizing knowledge based systems over reliance of human experts (10marks)

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