The document contains questions from a Decision Support Systems exam for a B.Tech program. It covers various topics related to DSS including:
1) Human and Kepner-Tregoe decision making methods
2) Types of DSS software and client/server computing
3) Components of corporate models and electronic meeting styles
4) Expert systems, knowledge bases, and queuing disciplines
5) Data warehouses, extraction/loading stages, and multi-dimensional databases
The questions require explanations of concepts, comparison of approaches, and short answers testing understanding of key DSS topics.
Expert Systems and Decision Support Systems Questions
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Code No: RR420506
Set No. 1
IV B.Tech II Semester Regular Examinations, Apr/May 2007
DECISION SUPPORT SYSTEMS
( Common to Computer Science & Engineering and Information
Technology)
Time: 3 hours Max Marks: 80
Answer any FIVE Questions
All Questions carry equal marks
1. Explain the following. [16]
(a) Kepner- Tregoe decision-making metho d
(b) Human decision-making process
2. Short notes on [16]
(a) Information Quality
(b) Institutional Versus Adho c DSS
3. (a) Explain the DSS software categories based on application and rm size.
(b) Explain why client / server computing is popular? [8+8]
4. What are the ma jor segments used in corporate mo del and explain each segment .
[16]
5. (a) What do es work ow system do? What are its key characteristics?
(b) What are the three electronic meeting styles and explain each? [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) 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 and describe brie y the eight stages of any information system pro ject.
(b) What are the four types of data that the data warehouse architecture must
specify?
[8+8]
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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 Max Marks: 80
Answer any FIVE Questions
All Questions carry equal marks
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. [8+8]
2. (a) De ne a system? What are the key characteristics of a system?
(b) How information system defer from a system in general? [8+8]
3. Explain the following terms [16]
(a) Fat clients
(b) Thin clients
(c) Network computers
(d) An Intranet
4. Draw the cobweb model of a market economy with 0 = 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 -1. [16]
5. (a) Explain the characteristics and components of GDSS.
(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+8]
8. Explain the need of DSS at present and future of DSS. [16]
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Code No: RR420506
Set No. 3
IV B.Tech II Semester Regular Examinations, Apr/May 2007
DECISION SUPPORT SYSTEMS
( Common to Computer Science & Engineering and Information
Technology)
Time: 3 hours Max Marks: 80
Answer any FIVE Questions
All Questions carry equal marks
1. What do the intelligence, design and choice phase consists of for the following
decisions? [16]
(a) buying a car
(b) faculty recruitment
2. (a) What are the fundamental operations involved in turning data into informa-
tion?
(b) Give an example for the di erence between the data and information. [8+8]
3. (a) Give eight factors that a DSS architecture must take into account.
(b) Draw the blo ck diagrams for conceptual DSS and speci c DSS architectures.
[8+8]
4. What are the ma jor segments used in corporate mo del and explain each segment .
[16]
5. Write a General Purpose Systems Simulation (GPSS) program for a manufacturing
shop. [16]
6. De ne data warehouse and state three characteristics of data warehouse.
[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+8]
8. (a) List and describe brie y the eight stages of any information system pro ject.
(b) What are the four types of data that the data warehouse architecture must
specify?
[8+8]
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Code No: RR420506
Set No. 4
IV B.Tech II Semester Regular Examinations, Apr/May 2007
DECISION SUPPORT SYSTEMS
( Common to Computer Science & Engineering and Information
Technology)
Time: 3 hours Max Marks: 80
Answer any FIVE Questions
All Questions carry equal marks
1. Explain the following. [16]
(a) Kepner- Tregoe decision-making metho d
(b) Human decision-making process
2. (a) De ne a system? What are the key characteristics of a system?
(b) How information system defer from a system in general? [8+8]
3. (a) What are the ma jor DSS hardware environments?
(b) Describe the types of hardware environments used for DSS. [8+8]
4. What are the ma jor segments used in corporate mo del and explain each segment .
[16]
5. Explain the following terms relating to the Queuing discipline. [16]
(a) FIFO
(b) LIFO
(c) Random
(d) Polling
(e) Priority
(f ) Interrupt
(g) Reneging
(h) Balking
6. (a) What are the query tools of data warehouse and explain in detail.
(b) Explain the pros and cons of expert system. [8+8]
7. Considering an example of MBA admissions of Business School based on GPA and
GMAT, explain the following: [8+4+4]
(a) Classi cation and Regression Tree (CART)
(b) Neural Network.
(c) Nearest Neighborhood
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Code No: RR420506
Set No. 4
(b) Justify a data warehouse interms of both tangible and intangible bene ts. [16]