Report: Expert Systems, DSS Applications, and Model Analysis

This report provides an overview of Expert Systems (ES) and Decision Support Systems (DSS). The report begins by defining Business Intelligence and then explores the applications of ES, including planning and scheduling, financial decision-making, and knowledge publishing. It then examines how DSS can be used to support various activities, such as generating an alert system for potential incorrect enrollment, and discusses two different models: model-based management systems and communication-driven DSS. The report further details different types of models used in DSS, including model-based DSS and data-based DSS. Finally, the report concludes by summarizing the key findings and emphasizes the value of ES and DSS in decision-making processes and various applications. References are included to support the information presented.

Table of Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
1.What type of application suits through Expert System ( ES) and why?...................................3
3. Decision support system to support various activities to generate an alert system for
potential incorrect enrolment.......................................................................................................4
4. Different types of models in DSS............................................................................................4
CONCLUSION................................................................................................................................5
REFERENCES................................................................................................................................6

INTRODUCTION
Business intelligence us consider as a set of the process’s technologies and architectures that
able to convert all kind of raw materials into the information which is meaningful that able to
drives the profitable business activities. It is a kind of the software as well as services that can
transform data more into the actionable knowledge as well as intelligence. Present report
focuses on type of application suits through Expert System (ES) . It also focuses on support
system to support various activities to generate an alert system for potential incorrect enrolment
and furthermore focuses on the models of DSS.
MAIN BODY
1.What type of application suits through Expert System ( ES) and why?
The applications of the expert system technology regarding to the commercial problems as
well industrial problems are broadly characterization.
Mention below are some of the major applications
Planning as well as scheduling
Systems that falls under this category are comparatively more complex. It can determine actions
to achieve the goals as well as gives personnel as well as other constraints (Ain, Vaia and
Waheed, 2019). This class also has a great commercial potential that has been identified. Such as
Includes airline scheduling of gates, flights, personnel as well as manufacturing job scheduling
as well as manufacturing process planning.
Financial Decision making
The sector of finance has a vigorous user of expert system as it has been aids bankers to
determine regarding to make loans regarding business as well as induvial .In addition to this
Insurance firms are also used expert systems to access the risk presented by the consumers as
well as determine price regarding insurance. It is consider as a typical application within
financial markets within foreign exchange trading.
Knowledge Publishing
It is known as the relatively new bur are the same time also have the area called explosive areas.
As the primary function regarding expert system is to provide the knowledge that can be
appropriate to the problem of the user (Alpar and Schulz, 2016). These are the two are most
widely utilised distributed expert systems within world are falls under this category. The first
is an advisor which counsels a user on appropriate grammatical usage in a text. The

second is a tax advisor that accompanies a tax preparation program and advises the
user on tax strategy, tactics, and individual tax policy.
3. Decision support system to support various activities to generate an alert system for potential
incorrect enrolment
It has been analysed that there has been an incorrect activity in which there has been an
incorrect enrolment in their subject. In order to reduce the errors the two different model that can
be used includes model based management system, in this the values are personated
mathematically and will support the university in making effective decisions (Larson and Chang,
2016). It is based on built in analytical tools which are used in this proposed DSS namely, AHP
and GRA. It will support the Victoria University in removing errors mathematically related to
enrollment.
The other type of decision support system which can be used by Victoria University
includes communication driven DSS. In this they can be engaged in making uninterrupted and
effective communication that is really necessary for them in order to remove the errors. It
supports more than one individual who has been working on desk. It can assist Victoria
University in deriving useful information which is really necessary for them to avoid errors. This
will help them in solving problem and making better decisions.
4. Different types of models in DSS
Decision support system is used to analyse data and support in decision making. The data
and information is analyse and generate outcomes. In this there are various models used in by
Victoria university which is as follows:
Model based DSS- it is a type the systems are not connected with any other information
systems. It helps in performing what - if analysis and other ones. Usually, the model is used for
production planning, scheduling, and others (Olszak, 2016). Moreover, it is used for statistical
and mathematical calculations. Through this, mistake is detected of student fees, Victoria
university cost, etc.
Data based DSS- this type of model is used to analyse large data set from other sources. In this
data is extracted by managers and used to take effective decision. Data is stored in server and
then data mining is done. Here, OLAP is used with data based DSS. This model can be used to
detect mistake related to calculation, financial data, etc.

The mistake that can be detected is automotive repeat request. So, it enables in discarding
request. Also, duplicate mistake are identified in data set.
CONCLUSION
From above report, it is summarised that ES are advance level systems which is
used in decision making. Also, there are various applications of ES such as planning and
scheduling, knowledge publishing, financial decision making. Besides that, DSS is used in
various support activities in Victoria university. However, there are 2 models that can be used in
DSS they are data based and models based.

REFERENCES
Books and Journals
Ain, N., Vaia, G. and Waheed, M., 2019. Two decades of research on business intelligence
system adoption, utilization and success–A systematic literature review. Decision Support
Systems, 125, p.113113.
Alpar, P. and Schulz, M., 2016. Self-service business intelligence. Business & Information
Systems Engineering, 58(2), pp.151-155.
Larson, D. and Chang, V., 2016. A review and future direction of agile, business intelligence,
analytics and data science. International Journal of Information Management, 36(5),
pp.700-710.
Olszak, C.M., 2016. Toward better understanding and use of Business Intelligence in
organizations. Information Systems Management, 33(2), pp.105-123.
Ain, Vaia and Waheed, 2019
Alpar and Schulz, 2016
Olszak, 2016