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

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

Course:Computer Information Systems And Business Information Technology

Institution: Kenya Methodist University question papers

Exam Year:2010

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

Question 1
a) Write brief explanatory notes on the following terms
i) Problem domain
ii) Inference engine
iii) Heuristics
iv) Knowledge base
v) Data mining
vi) Knowledge acquisition bottleneck (12marks)
b) Distinguish between the following terms
i) Forward chaining and backward chaining (4marks)
ii) Procedural knowledge and declarative knowledge (4marks)
c) Elaborate on how decision support systems can be used to accomplish the following
i) Sensitivity analysis
ii) What if analysis
iii) Forecasting
iv) Modeling
v) Experimentation (10marks)

Question 2
a) Buchanan et al offer an analysis model of how to construct expert systems. Summarize five key stages of knowledge acquisition (10marks)
b) Discuss the merits of utilizing knowledge based systems over reliance of human experts (10marks)

Question 3
a) Describe six major application areas of expert systems (12marks)
b) Explain the critical limitations of expert systems that exert significant challenges to their full-scale utilization (8marks)

Question 4
a) With specific examples analyze the key factors you would consider when examining the appropriateness of an expert system paradigm for a given domain (10marks)
b) Citing appropriate characteristics distinguish between decision support and expert systems (10marks)

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