Here an attempt has been made to consolidate all the aspects of Decision support system .Also how DSS and expert system are different with each other.

1. By: Kawita Bhatt (44592)

2. 1. Decision
2. Decision Support System
3. Component of DSS
4. Characteristics of DSS
5. Types of DSS
6. Framework for developing DSS
7. Basic types of analytical modeling activities involved in using a DSS
8. Expert system Vs. DSS
9. Examples of DSS
10. Related studies

3. What would you do, if
you want to finalise a
research problem?
How would you finalise which
problem is critical and requires
immediate action??

4. • Refers to class of system which supports in the process of
decision making and does not always give a decision itself.
• Decision Support Systems supply computerized support for
the decision making process.
• Provides interactive ad hoc support for the decision making
process of managers and other business professionals.
• End-users apply models to represent, understand, and simplify
the decision situation.
Decision Support System (DSS)

5. Internet,
intranets,
extranets
Other
Computer based
systems
User interface
Knowledge-
based
subsystems
Model
Management
External
Model
Data
Management
Organisational
Knowledge
Base
Manager (User)
Data: external and
internal

6. Handle large amounts of data (database searches)
Obtain and process data from different sources.
Provide report and presentation flexibility to suit the decision
maker's needs.
Have both textual and graphical orientation like charts, trend
lines, tables and more
Perform complex, sophisticated analysis and comparisons using
advanced software packages

7. Data-driven
DSS
Document-
driven DSS
Knowledge-driven
DSS
Model-driven DSS
 The purpose of such a DSS is to search
web pages and find documents on a
specific set of keywords or search terms.
 Technology used to set up such DSSs is via
the web or a client/server system
 Used by complex systems that
help analyse decisions or choose
between different options.
 Used by managers and staff
members of a business, or people
who interact with the organization,
 Used for scheduling, decision
analyses etc.
 Deployed via software/hardware
in stand-alone PCs, client/server
systems, or the web.
 Users within the organization
 Interacting with the
organization, (consumers of a
business)
 silent/server systems, the web,
or software running on stand-
alone PCs.
 Used to query a database or data warehouse
 It is deployed via a main frame system,
client/server link, or via the web

9. Type of Analytical
Modeling
Activities examples
What-if analysis Observing, hoe changes to
selected variables affect other
variables
What if we cut fertilizers by
10%? What would happen
to yield.
Sensitivity
analysis
Observing how repeated
changes to a single variable
affect other variables
Let’s cut fertilizers by
100% repeatedly so we can
see its relationship to yield
Goal-seeking
analysis
Making repeated changes to
selected variables until a
chosen variable reaches to a
target value.
Let’s try increases in
fertilizers
Optimization
analysis
Finding an optimum value for
selected variables, given
certain constraints
What’s the best amount of
fertilizers to have, our
budget and choice ?

10. 1.Facilitates decision making and
help executives to take decisions
(tailor made decisions)
2.Unstructured environment
3.Alternatives may not be fully
realized
4.Extract or gain knowledge from a
5.Use goals and the system data to
establish alternative outcomes and
make good decision
1.Interactive and make decisions for
you (ready made decisions)
2.The decision environments have
structure.
3.The alternatives and goals are
realized yet often established in
advance
4.Inject expert knowledge in to a
computer system computer system
5.The expert system can eventually
replace the human decision maker
EXPERT SYSTEM VS. DSS

11. DSS for attendance of employees in an organisation

12. The Application of Decision Support System to Forecast the Yield of Agricultural
Products in Taiwan
Research study: 1
 Here researcher established a decision support system by using the rice field of
one farmer in Changhwa area.
 Taiwan as the example and explains how this decision support system works.
 this research has three purposes:
1. To study how key production factors affect the yield of rice variety No.67.
2. To establish a decision support system to forecast the yield of rice variety
No.67. 3.
3. To use Visual Basic to write computer programs which can simulate how
yield changes if key production factors change.
Source :The Application of Decision Support System to Forecast the Yield of Agricultural Products in Taiwan Lee,
Tzong-Ru Associate Professor Department of Agricultural Marketing National Chung-Hsing University Taiwan, R.O.C.

13. DSS for yield forecast for rice variety No. 67

14. Application of Decision Support Systems and Its Impact on Human
Resources Output: A Study of Selected Universities in Zimbabwe
Research question :
Effectiveness of the decision support system in selected Universities in
Zimbabwe?
Findings of this study were
 To a great extent decision support systems are effective in assisting
decision making in organizations.
 Responses from management were concentrated on the higher positive
side showing that they agreed that most of the human resource elements
were improved by use of the decision support systems.
 It was recognized that the older the respondent the quicker they solve
problems and accurate data collection was found to increase the decision
scope.
Bongani Ngwenya, 2013. Journal of Computer Sciences and Applications, 2013, Vol. 1, No. 3, 46-54
Research study: 2