Name of the College : Dasari Jhansi Rani Institute Of Engineering And Technology
University : JNTUK
Department : Computer Science And Engineering
Subject Code/Name : RR420506 – Decision Support Systems
Year : 2008
Degree : B.E
Year/Sem : IV/II
Website : djriet.edu.in
Document Type : Model Question Paper
Decision Support Systems Supple : https://www.pdfquestion.in/uploads/dmice.ac.in/2813-RR420506-DECISION-SUPPORT-SYSTEMS.pdf
Decision Support Systems Regular : https://www.pdfquestion.in/uploads/dmice.ac.in/2813_RR420506-DECISION-SUPPORT-SYSTEMS.pdf
DJRIET Decision Support Systems Question Paper
( Common to Computer Science & Engineering and Information Technology)
Time: 3 hours
Max Marks: 80
Answer any FIVE Questions :
Related : Dasari Jhansi Rani Institute Of Engineering & Technology Analog Communications B.Tech Model Question Paper : www.pdfquestion.in/3002.html
Set – I
All Questions carry equal marks :
1. List the stages of Kepner – Tregoe decision making process and describe each in a line or two with the help of flowchart. [16]
2. State how computers affect each of the eleven factors that define information quality? [16]
3. (a) What are the major DSS hardware environments?
(b) Describe the types of hardware environments used for DSS. [8+8]
4. (a) Explain the principles used in modeling
(b) Explain dynamic physical model and static mathematical model with an example. [8+8]
5. (a) Describe an electronic meeting system. What types of decision-making tasks might it be useful?
(b) Explain the technologies of GDSS. [8+8]
6. Consider a simple expert system that can follow three rules:
(a) Rule 1) If order can be satisfied within a normal work schedule, then the factory should operate 40 Hours next week.
(b) Rule 2) If order cannot satisfied within a normal work schedule and overtime has not been scheduled, then schedule overtime work.
(c) Rule 3) If order cannot satisfied 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) Describe four kinds of data that data warehouse use.
(b) List the stages involved in getting a data into data warehouse and explain each stage. [8+8]
8. Show how DSS, ES, EIS, GDSS and data warehouse systems relate to each other. [16]
Set – II
1. Explain the Kepner-Tregoe decision-making method with an example. [16]
2. (a) What is a model? What are three reasons to use computer models to support decision-making?
(b) Consider your DSS course as a system. What is its purpose? What are its inputs? Its outputs? Its major processes? [8+8]
3. (a) Explain the characteristics of DSS.
(b) Discuss the three level technology of DSS with block diagram. [8+8]
4. (a) Describe at least six activities that are part of the implementation phase.
(b) Explain the basic types of model and its classification. [8+8]
5. Draw the diagram of McGraths circumplex and explain various tasks types. [16]
6. Consider a simple expert system that can follow three rules:
(a) Rule 1) If order can be satisfied within a normal work schedule, then the factory should operate 40 Hours next week.
(b) Rule 2) If order cannot satisfied within a normal work schedule and overtime has not been scheduled, then schedule overtime work.
(c) Rule 3) If order cannot satisfied 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) Describe four kinds of data that data warehouse use.
(b) List the stages involved in getting a data into data warehouse and explain each stage. [8+8]
8. (a) List the various stages of data warehousing project.
(b) Justify a data warehouse interms of both tangible and intangible benefits. [16]