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Posted By: sunil       Member Level: Diamond       Posted Date: 02 Jul 2008

2007 Jawaharlal Nehru Technological University Computer Science & Engineering IV B.Tech II Semester Regular Examinations, Apr/May 2007 DECISION SUPPORT SYSTEMS Question paper



Course: B.Tech Computer Science & Engineering   University: Jawaharlal Nehru Technological University




Code No: RR420506




Set No. 2



IV B.Tech II Semester Regular Examinations, Apr/May 2007
DECISION SUPPORT SYSTEMS
( Common to Computer Science & Engineering and Information
Technology)

Time: 3 hours


Answer any FIVE Questions
All Questions carry equal marks
? ? ? ? ?

Max Marks: 80


1. (a) What is a decision? Give three examples.
(b) Classify the types of decisions based on the degree of the structure and orga-

nizational impact.
2. (a) De?ne a system? What are the key characteristics of a system?
(b) How information system defer from a system in general?
3. Explain the following terms

(a) Fat clients
(b) Thin clients
(c) Network computers
(d) An Intranet

[8+8]


[8+8]
[16]

4. Draw the cobweb model of a market economy with P0= 5.0, A = 10, B = 0.9, C
= -2.4, D = 1.2, by considering demand (D) = A ? B X P (Price) and Supply (S)

= C + D X P-1.
5. (a) Explain the characteristics and components of GDSS.

[16]

(b) Explain the value analysis and cost bene?t analysis relating to GDSS. [8+8]

6. Consider a simple expert system that can follow three rules:
(a) Rule 1) If order can be satis?ed within a normal work schedule, then the
factory should operate 40 Hours next week.
(b) Rule 2) If order cannot satis?ed within a normal work schedule and overtime
has not been scheduled, then schedule overtime work.
(c) Rule 3) If order cannot satis?ed within a normal work schedule and overtime
has been scheduled, then notify customers that order will be delayed. Develop

VP-Expert form of simple knowledge base.

[16]

7. (a) Explain how a relational database can be organized for a data warehouse.
(b) Explain the concept of a multi dimensional database and why they are well

suited to data warehouse.
8. Explain the need of DSS at present and future of DSS.






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