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INDEX
I. Transaction Processing System (TPS)
II. Office Automation Systems (OAS)
III. Management Information Systems (MIS)
IV. Decision Support Systems (DSS)
V. Group Decision Support Systems (GDSS)
VI. Expert Systems (ES)
TRANSACTION PROCESSING SYSTEM [TPS]
The TPS records the data from every day operations throughout every
division or department in the organization.
Transaction processing system supports day – to – day operations:
Examples of TPS are order – entry systems, cheque processing systems,
accounts receivable systems, accounts payable systems, payroll systems and
ticket reservation systems. These systems help any company to conduct
operations and keep track of activities.
TPS was first developed in the 1950 s in accounting departments of major
corporations. It is the oldest type of information system and can be called as
the ‘work house’ of the information system industry for the last 50 years.
An event occurs in the business world. The event is recorded by keying it
into the computer system as a transaction. The transaction is a representation
of the event. TPS is nothing but a computer program which processes the
transaction against TPS data.
Example : In case of a ticket Reservation system, say Railways, the TPS data
contains the location of available seats; in the case of an order, this data
contains a list of products available for sale, their prices and related data.
In case of cheque processing this data contains the account balances,
customer lists and other data.
TPS program generates 2 types of outputs
i ) It sends message back to the operator generator.
ii ) It generates printed materials.
Example : A ticket reservation system, displays a message on the terminal
indicating seats sold out to people. It also prints the tickets and perhaps a
mailing label for sending them.
The following diagram shows the architecture of a generic TPS application
Objectives of TP S
• Process data generated by and about transactions.
• Maintain a high degree of accuracy.
• Ensure data information integrity and accuracy.
• Produce timely documents and reports.
• Increase labour efficiency.
• Help provide increased and enhanced efficiency.
• To build and maintain customer loyalty.
• Achieve competitive advantage.
Characteristics of TPS
1. Type – These activities occur at the operational level.
2. Inputs – Day –to – day transactions or events are inputs to TPS.
3. Processing – Converting of input into output and providing
meaningful information.
4. Output – TPS updates the database and generates printed materials.
5. Users – All operational level personnel's, stores manages H.R manager
etc.
6. Decision making – It is computer based application system which is
highly structured.
Types of TPS
These are 2 fundamental types of TPS
• Online systems( On line transaction processing )
• Batch systems (Batch transaction processing)
1. On – line systems:
In this processing system data are processed as they are entered as
opposed to batch processing. It involves direct connection between
the operator and the TPS program. They provide immediate results.
They are used to process a single transaction at a time.
Example: An order arrives by telephone call, it is processed at that
moment and the results are produced.
Real time Processing ( Quick response systems )
This system is same as OLTP but fast. It is a type of online processing
which is capable of processing, faster advances in computer hardware and
soft ware have made a real time processing capable to many of the
functions of modern information systems.
The following diagram shows the online transactions processing cycle.
Online Schematic
2) Batch processing :
This is a second type of TPS, where transactions are grouped together
and processed as a unit. Transactions are accumulated over a period of
time and prepared for processing as a single unit or batch.
Example: A cheque processing system in a bank. All the cheques
received in a particular time frame, say on a particular
day are then sorted by the account number and processed in a batch.
The following diagram shows the Batch transactions processing
application.
Here the transactions are grouped into a transaction file as indicated in the
program. The batch is then read in order by TPS program. This program reads
the stored data, often called ‘old master file data’, process the transaction and
creates the ‘new master file data’. In the process, it generates reports.
OFFICE AUTOMATION
SYSTEMS
OFFICE AUTOMATION
The term office automation refers to all tools and methods that are applied to
office activities which make it possible to process written, visual, and sound
data in a computer-aided manner.
Office automation is intended to provide elements which make it possible to
simplify, improve, and automate the organisation of the activities of a company
or a group of people (management of administrative data, synchronisation of
meetings, etc.).
Considering that company organizations requires increased communication,
today, office automation is no longer limited to simply capturing handwritten
notes. In particular, it also includes the following activities:
• exchange of information
• management of administrative documents
• handling of numerical data
• meeting planning and management of work schedules
Office suite tools
The term "office suite" refers to all software programs which make it possible
to meet office needs. In particular, an office suite therefore includes the
following software programs:
• word processing
• a spreadsheet
• a presentation tool
• a database
• a scheduler
The main office suites are:
• AppleWorks
• Corel WordPerfect
• IBM/Lotus SmartSuite
• Microsoft office
• Sun star office
Automation Systems Overview
Utilizing an automation system can be a simple change like providing
production workers cordless drills in place of corded drills to allow for greater
freedom of movement in performing their task. Complex automation systems
integrate computer hardware and software, robotic equipment, line equipment,
shipping processes, inventory control and employee training to increase
manufacturing efficiency and product quality.
Automation Systems Are Everywhere
Look around and you will find automation systems everywhere. That email
system your corporation uses to share calendars, schedule meetings and send
communications with is an automation system. Fast food chains employ
integrated automation systems to ensure everything from supplies to data
collection, right down to fulfilling your order, is done quickly and succinctly.
Office Automation Systems
Office automation systems (OAS) are configurations of networked computer
hardware and software. A variety of office automation systems are now applied
to business and communication functions that used to be performed manually
or in multiple locations of a company, such as preparing written
communications and strategic planning. In addition, functions that once
required coordinating the expertise of outside specialists in typesetting,
printing, or electronic recording can now be integrated into the everyday work
of an organization, saving both time and money.
Types of functions integrated by office automation systems include (1)
electronic publishing; (2) electronic communication; (3) electronic
collaboration; (4) image processing; and (5) office management.
Electronic Publishing
Electronic publishing systems include word processing and desktop publishing.
Word processing software, (e.g., Microsoft Word, Corel Word-Perfect) allows
users to create, edit, revise, store, and print documents such as letters, memos,
reports, and manuscripts. Desktop publishing software (e.g., Adobe Pagemaker,
Corel VENTURA, Microsoft Publisher) enables users to integrate text, images,
photographs, and graphics to produce high-quality printable output. Desktop
publishing software is used on a microcomputer with a mouse, scanner, and
printer to create professional-looking publications. These may be newsletters,
brochures, magazines, or books.
Electronic Communication
Electronic communication systems include electronic mail (e-mail), voice mail,
facsimile (fax), and desktop videoconferencing.
Electronic Mail
E-mail is software that allows users, via their computer keyboards, to create,
send, and receive messages and files to or from anywhere in the world. Most e-
mail systems let the user do other sophisticated tasks such as filter, prioritize,
or file messages; forward copies of messages to other users; create and save
drafts of messages; send "carbon copies"; and request automatic confirmation
of the delivery of a message. E-mail is very popular because it is easy to use,
offers fast delivery, and is inexpensive. Examples of e-mail software are
Eudora, Lotus Notes, and Microsoft Outlook.
Voice Mail
Voice mail is a sophisticated telephone answering machine. It digitizes
incoming voice messages and stores them on disk. When the recipient is ready
to listen, the message is converted from its digitized version back to audio, or
sound. Recipients may save messages for future use, delete them, or forward
them to other people.
Desktop Videoconferencing
Desktop videoconferencing is one of the fastest growing forms of
videoconferencing. タ Desktop videoconferencing requires a network and a
desktop computer with special application software (e.g., CUSeeMe) as well as
a small camera installed on top of the monitor. Images of a computer user from
the desktop computer are captured and sent across the network to the other
computers and users that are participating in the conference. This type of
videoconferencing simulates face-to-face meetings of individuals.
Electronic Collaboration
Electronic collaboration is made possible through electronic meeting and
collaborative work systems and teleconferencing. Electronic meeting and
collaborative work systems allow teams of coworkers to use networks of
microcomputers to share information, update schedules and plans, and
cooperate on projects regardless of geographic distance. Special software called
groupware is needed to allow two or more people to edit or otherwise work on
the same files simultaneously.
Teleconferencing is also known as videoconferencing. As was mentioned in the
discussion of desktop videoconferencing earlier, this technology allows people
in multiple locations to interact and work collaboratively using real-time sound
and images. Full teleconferencing, as compared to the desktop version, requires
special-purpose meeting rooms with cameras, video display monitors, and
audio microphones and speakers.
Telecommuting and Collaborative Systems
Telecommuters perform some or all of their work at home instead of travelling
to an office each day, usually with the aid of office automation systems,
including those that allow collaborative work or meetings. A microcomputer, a
modem, software that allows the sending and receiving of work, and an
ordinary telephone line are the tools that make this possible.
Telecommuting is gaining in popularity in part due to the continuing increase
in population, which creates traffic congestion, promotes high energy
consumption, and causes more air pollution. Telecommuting can help reduce
these problems. Telecommuting can also take advantage of the skills of
homebound people with physical limitations.
Studies have found that telecommuting programs can boost employee morale
and productivity among those who work from home. It is necessary to maintain
a collaborative work environment, however, through the use of technology and
general employee management practices, so that neither on-site employees nor
telecommuters find their productivity is compromised by such arrangements.
The technologies used in electronic communication and teleconferencing can
be useful in maintaining a successful telecommuting program.
Image Processing systems
Image processing systems include electronic document management,
presentation graphics, and multimedia systems. Imaging systems convert text,
drawings, and photographs into digital form that can be stored in a computer
system. This digital form can be manipulated, stored, printed, or sent via a
modem to another computer. Imaging systems may use scanners, digital
cameras, video capture cards, or advanced graphic computers. Companies use
imaging systems for a variety of documents such as insurance forms, medical
records, dental records, and mortgage applications.
Presentation graphics software uses graphics and data from other software tools
to create and display presentations. The graphics include charts, bullet lists,
text, sound, photos, animation, and video clips. Examples of such software are
Microsoft Power Point, Lotus Freelance Graphics, and SPC Harvard Graphics.
Multimedia systems are technologies that integrate two or more types of media
such as text, graphic, sound, voice, full-motion video, or animation into a
computer-based application. Multimedia is used for electronic books and
newspapers, video conferencing, imaging, presentations, and web sites.
Management information systems:
MIS can be defined as a system that processes information input in the form of
data (the raw material) and helps support the management in decision-
making and strategic planning. These systems assist lower management in
problem solving and making decisions. They use the results of transaction
processing and some other information also. It is a set of information
processing functions. It should handle queries as quickly as they arrive.
An important element of MIS is database
A database is a non-redundant collection of interrelated data items that can be
processed through application programs and available to many users.
Functions:
- sub serves managerial function
- collects stores , evaluates information systematically and routinely
- supports planning and control decisions
- Includes files , hardware , software , software and operations research models
Components of MIS:
1.Hardware
Input and output devices constitute the hardware components of MIS
2. Software
The programs and applications that convert data into machine-readable
language are known as software
3. Procedures
Procedures are sets of rules or guidelines, which an organization establishes for
the use of a computer-based information system
4. Personnel
The computer experts, managers, users, analysts, programmers, database
managers, and many other computer professionals who utilize the computer-
based information systems are the personnel in a management information
systems.
The Purpose and Scope of MIS - Management information systems
The Purpose and Scope of MIS Management Information Systems can be
defined as 'The combination of human and computer based resources that
results in the collection, storage, retrieval, communication and use of data for
the purpose of efficient management of operations and for business planning'.
The purpose of MIS is to help the smooth running of the business by providing
information on the firms data (such as accounting figures) employees from
different levels will then evaluate this information so that decisions can be
made to ensure that the business remains competitive and successful.
The information can be used for various purposes,
-strategic planning
-delivering increased productivity
-reducing service cycles
-reducing product development cycles
-reducing marketing life cycles
-increasing the understanding of customers' needs
-facilitating business and process re-engineering.
THE CHARACTERISTICS OF MIS
1. Management-oriented: The development of the system starts after
deciding the management needs and keeping in the view, overall
objective of the management.
2. Management-directed: Since MIS requires heavy planning and
investment, management is deeply involved in the design,
implementation and maintenance of the system.
3. An integrated system: MIS is the ‘catalyst and nerve centre’ of an
organization. It is necessary for the subsystems to work as integrated
system, to achieve the goals and objectives of organization.
4. Avoids redundancy in data storage: Since MIS is an integrated
system, it avoids unnecessary duplication and redundancy in data
gathering and storage.
5. Common data flow: Common data flow tries to utilize minimum data
processing effort and strives to minimize the number of output
documents and reports.
6. Heavy planning element: Design and implementation of MIS requires
detailed and meticulous planning of such activities as acquisition and
deployment of hardware, software, humanware, etc.
7. Subsystem concept: MIS gives provision for division into various
subsystems based on activity as well as functions of the organization, for
its effective implementation.
8. Common database: It acts as a master that holds the functional
subsystems together. It achieves this, by allowing access to different
master files of data into several functional subsystems.
9. Flexibility and ease of use: MIS is flexible enough to accommodate
new requirements. The system is easy to operate, so that no much
computer skills are required on the part of the user to access database.
10. Computerization: MIS can be computerized because of its nature as a
comprehensive system. This provides speed in creating and accessing
files, accuracy, consistency in data processing, reduction in clerical
work
BENEFITS OF MIS
1. Improves personal efficiency.
2. Expedites problem solving (speeds up the progress of problems solving
in an organization).
3. Facilitates interpersonal communication.
4. Promotes learning or training.
5. Increases organizational control.
6. Generates new evidence in support of a decision.
7. Creates a competitive advantage over competition.
8. Encourages exploration and discovery on the part of the decision maker.
9. Reveals new approaches to thinking about the problem space.
10. Helps automate the Managerial processes
OBJECTIVES:
The objectives of MIS are derived from company’s objectives.
Suppose the company wants to increase its market segment ‘A’ from 10% to
14% per year, numerous information must be available, like:
How is the market currently allocated?
Which are the competitor’s product offer to hold share in the market?
Pros and cons of this product
Customer set of each of these products
Money spent in advertising
In what stage of the product life cycle in each product and so on…
The main objectives are :
• To provide requisite information support for the managerial functions
within the organization.
• To make available, right information at the right place, at the right time
and at the low cost.
• To ensure that wrong and unwanted information is not generated,
APPLICATIONS:
Management Information systems been implemented in areas of
1. Transportation
2. Finance and Accounting
3. Laboratories
4. Trafficking Systems
5. Graphic Design
6. Geographic Information Systems (GIS)
7. Telecommunication
8. Satellite imaging
9. Healthcare, etc
DECISION SUPPORT SYSTEM (DSS)
Decision support systems are computer-based information systems that
provide interactive information support to managers and business
professional’s during the decision-making process.
Decision support systems are an application of Herbert Simon Model,
which is a process of intelligence, design and choice activities that result in the
selection of a particular course of action.
Definition:
According to Scott Morton – “Decision Support System are Interactive
computer based systems, which helps decision-makers utilize data and models
to solve unstructured problems.”
• DSS is not structured, finished systems as TPS and MIS are.
• DSS is collection of data and data processing tools used to creatively
manipulate data to answer unknown and often unexpected questions.
• Unlike TPS and MIS which are regular and recurring, the need for DSS
can be irregular.
Architecture of DSS
External TPS MIS data data data
DSS Models Data Request Models
DSS Program
Responses
Graphs Reports
DSS User
The Architecture of a DSS application is as shown in above figure.
• Data from the organizations, TPS and MIS applications are input to the
DSS programs, along with data from external sources and DSS model
data. The DSS may store and later reprocess its own model data as well.
• The user interacts with the DSS online and requests are made, models
are created or adjusted and data is manipulated.
• The outputs of the DSS program can be either text, structured reports or
graphics.
• The programs supported by the DSS are spreadsheet programs, personal
database management systems, word processing packages, MBMS,
graphics generators, statistical packages, etc,.
• DSS are often used to respond on an ad hoc basis to problems and
opportunities as they develop. So that flexibility and adaptability are
crucial. DSS often involves models of business activity.
Components of DSS Program
DSS Process
• Every DSS contains at least data management, user interface, model
management components and the end users. A few also contains a
knowledge management component.
• The data management subsystem contains all the data that flow from
several sources, and are extracted prior to their entry into a DSS
database or a data warehouse.
• A model management subsystem contains completed models
(financial, statistical, management science or other quantitative
models) and the routines to develop DSS’s applications.
• The user interface covers all aspects of the communications between
a user and the DSS.
• The user: the person (manager or the decision maker) faced with the
problem or decision that the DSS is designed to support.
• A knowledge-based or intelligent subsystem provides the expertise
for solving some aspects of the problem, or the knowledge that can
enhance the operation of the other DSS components.
Characteristics of DSS
1. DSS offer users flexibility, adaptability and a quick response.
2. DSS operate with little or no assistance from professional
programmers.
3. DSS provide support for decisions and problems whose solutions
cannot be specified in advance.
4. DSS uses sophisticated data analysis and modeling tools.
5. DSS is typically designed for either a particular decision-maker
or a group of decision-makers.
6. DSS provides more consistent and objective than complex
decisions that are mode intuitively.
7. Designed to help support decisions that are formulated as semi-
structured, complex problems.
Capabilities of DSS
1. A DSS provides support for decision makers at all management levels,
whether individuals or groups, mainly in semi-structured and
unstructured situations by bringing together human judgment and
objective information
2. A DSS supports several interdependent and/or sequential decisions.
3. A DSS supports all phases of the decision-making process – intelligent,
design, choice and implementation.
4. A DSS is adaptable by the user over time to deal with changing
conditions.
5. A DSS is easy to construct and use in many cases.
6. A DSS promotes learning, which leads to new demands and refinement
of the current application, which leads to additional learning.
7. A DSS usually utilizes quantitative models (standard or custom made).
8. Advanced DSS’s are equipped with a knowledge management
component that allows the efficient and effective solution of very
complex problems.
9. A DSS can be disseminated for use via the web.
10. A DSS allows the easy execution of sensitivity analysis.
Example of DSS:-
Sales managers typically rely on management information
systems to produce sales analysis reports. These reports contain sales
performance figures by product-line, salesperson, sales region, etc. The
DSS on the other hand shows the sales manager the effects on sales
performance of changes in a variety of factors (such as promotion expense
and salesperson compensation). The DSS could then use several criteria
(such as expected gross margin and market share) to evaluate and rank
several alternative combinations of sales performance factor.
Therefore, DSS systems are designed to be ad hoc, quick-
response systems that are initiated and controlled by business decision
makers.
DSS are thus able to directly support the specific types of
decisions and the personal decision-making styles and needs of individual
executives, managers and business professionals.
Comparison between DSS and MIS
Following are the few differences between DSS and MIS:
Points MIS DSS
1) Focus
2) Emphasis
3) Data access
4) Reliance
5) Access to data
6) Understanding the
nature of the decision
7) Emphasis
On structured tasks and
routine decisions
On data storage
Offer only indirect access
by managers
On computer expert
Possibility requiring a
wait for managers turn
and data
MIS manager not
understands completely
On efficiency
On semi-structured tasks,
requiring managerial
decisions
On data manipulation
Direct access by managers
On manager’s own
judgment
Direct access to computer
Manager understands
knowing decision
environment
On effectiveness
Group Decision Support Systems (GDSS)
Group decision support systems (GDSSs), a subclass of DSSs, are defined as
information technology-based support systems that provide decision-making
support to
Groups. They refer to the systems that provide computer-based aids and
communication support for decision-making meetings in organizations. The
group
Meeting is a joint activity in which a group of people is engaged with equal or
near-equal
Status. The activity and its outputs are intellectual in nature. Essentially, the
outputs of the meeting depend on the knowledge and judgment contributed by
the participants.
Differences in opinion may be settled by negotiation or arbitration.
Components of GDSS
The difference between GDSSs and DSSs is the focus on the group versus the
individual decision-maker. The components of a GDSS are basically similar to
those of
DSS, including hardware, software, and people; but in addition, within the
collaborative
environment, communication and networking technologies are added for group
participation from different sites.
Benefits claimed for GDSS
There are three benefits claimed for GDSSs: increased efficiency, improved
quality, and leverage that improves the way meetings run
Due to increasing computer data processing power, communication and
network
performance, the speed and quality for information processing and information
transmission create the opportunity for higher efficiency. Efficiency
achievement
depends on the performance of hardware (e.g., PCs, LAN/WAN) and software.
With regard to the software aspect of GDSSs, the software architecture with
database management and an interactive interface affects system run time
efficiency and performance.
Improved quality of the outcomes of a group meeting implies the increased
quality of alternatives examined, greater participation and contribution from
people who would otherwise be silent, or decision outcomes judged to be of
higher quality. In a GDSS, the outcome of a meeting or decision-making
process depends on communication facilities and decision support facilities.
Those facilities can help decision-making participants avoid the constraints
imposed by geography. They also make information sharable and reduce effort
in the decision-making process. Therefore, those facilities contribute to
meeting quality improvement.
Leverage implies that the system does not merely speed up the process (say
efficiency), but changes it fundamentally. In other words, leverage can be
achieved through providing better ways of meeting, such as providing the
ability to execute multiple tasks at the same time
ADVANTAGES
Group Decision Support Systems give groups several advantages
over many traditional, non-automated group meetings (Nunamaker, et
al., 1991):
1.More participation
In a typical meeting, group members have only few minutes to express
their ideas rather than the entire meeting time. In some non-
automated meetings, a few group members may exert undue influence or
monopolize the group's time; a GDSS makes every participant equal,
eliminating member status incongruities. Finally, more information
will be presented to the group as more participate.
2.Group synergy
Other group members will be able to use an idea in a manner that the
originator did not because participants have different information
skills. Also, the group as a whole will be better able to catch
errors in a comment than the individual who proposed the idea.
3.More structure
A GDSS also provides a certain amount of structure to the meeting.
With this structure in place, it is more difficult to deviate from the
problem-solving cycle and make incomplete or premature decisions.
The group has a more concentrated discussion, and they stay focused on
the issues throughout the meeting. Lower levels of non-task
interactions (gossiping, for example) in such groups have been
observed as compared with traditional meetings.
4.Other benefits
As a result of more participation, group synergy, record keeping, and
structure, many groups have been able to accomplish more in
significantly less time necessary for traditional, non-automated
meetings. Also, these factors have contributed to higher group
satisfaction with the meeting process. Finally, the new technology
has enabled larger groups to meet, resulting in more information,
knowledge, and skills that are brought to bear to the task at hand.
DISADVANTAGES
There are some disadvantages to the technology, however, and they
include:
1.Slow Communication
Most people speak much faster than they type, and thus would usually
prefer a verbal environment (other things being equal). However, a
GDSS allows participants to review recorded comments (people may read
and scan faster than they can hear and process). Other advantages,
including anonymity and parallel communication, may override the slow
typing speed. The break-even point, where it is more efficient to
type in parallel rather than speak and listen in sequence, occurs at a
group size of approximately eight members (depending upon typing
speed).
2.Not all Tasks are Amenable to GDSSs
Group meetings which involve "one-to-many" communication (for example,
a leader lecturing to the group) would not benefit from a GDSS. Only
those tasks which require group members to exchange ideas or
preferences efficiently ("many-to-many") would benefit.
EXPERT SYSTEM
An expert system is a computer based information system in which
knowledge is represented in data and processing is directed.
Primarily by computer programs, greatest degree of computer control.
For example: To diagnose, human diseases as well as or better than a
human expert, many of the expert system, we encounter in business will
not have the abilities of a true human expert.
STRUTURE OF EXPERT SYSTEMS
Expert system can be viewed as composed of two major parts:-
1. The development environment:-
It is used by ES builder to build the ES components and introduce
expert knowledge to ES knowledge base.
2. The consultation environment: -
It is used by a non expert to obtain the expert knowledge and advice.
COMPONENTS OF EXPERT SYSTEM
The following components exist in ES:-
1. Knowledge acquisition subsystem.
2. Knowledge base.
3. Inference engine
4. Blackboard (work place)
5. User inference
6. Explanation (gives logic)
7. Reasoning capacity improvement
1. Knowledge acquisition:-
• This is used by an individual who has expertise to create add or
change the knowledge base.
• Sources of knowledge include human experts, text books,
database, special research reports and users own experience.
2. Knowledge base:-
• Knowledge not mere facts are the primary material of ES.
• It can also have standard problem solving and decision making
models.
CONSULTATION ENVIRONMENT
DEVELOPMENT ENVIRONMENT
KNOWLEDGE BASE
RECOMMANDATION
INFERENCE USER INFERENCE
EXPLANATIUSER
REASONING CAPACITY
EXPERT
BLACKBO
KNOWLEDGE
• The info in knowledge base is incorporated into computer system
by process called knowledge representing.
• Facts, rules and global strategies are included in knowledge
development base.
3. Inference engine:-
• Brain of ES
• Applies rules and other forms of knowledge to make logical
conclusion to solve user’s problems.
4. User inference:-
• The ES contains language processor for friendly communication
between user and computer.
• Communication is carried out in a natural language, sometimes
supplemented by graphics.
5. Expert system language:-
• ES programs are written in special purpose, symbolic program
language such as prolog and LISP.
BENEFITS OF EXPERT SYSTEM
Expert system can be used to address number of different problems domain. In
increasing order of difficulty these domain are:-
I. Procedural
II. Diagnosis
III. Monitoring
IV. Configuration and design
V. Scheduling and planning
It provides major benefits to users benefits are:-
I. Cast reduction
II. Increased output
III. Improved quality
IV. Reduced down time
V. Reliability
VI. Response time
VII. Equipment operation
VIII. Educational benefits
IX. Enhancing problem solving
X. Solving complex problems
ADVANTAGES OF ES
It is faster and consistent.
It can have the knowledge of several experts
It does not get distracted by over work
It is not subjected to stress
They help to preserve and reproduce knowledge to experts
They build knowledge database for the organization
LIMITATIONS OF ES
They excel only in solving specific types of problems in limited domain.
They perform well with specific types of operational and analytical tasks
but latter at subjective decision making.
They are costly to develop and maintain
They don’t learn by experience as humans
They must taught new knowledge and modified as new expertise to
match developments in subjected area.
KNOWLEDGE SYSTEM
A knowledge system is a computer based system that represents knowledge
and makes it available to users in a tailored form to the solution of specific
problems.
TYPES OF KNOWLEDGE SYSTEM:-
a) Hyper text
b) Interactive video
c) Expert system
I. Hyper text:-
• It is an important methodology for the construction and
interactive use of text database.
II. Interactive video:-
• Interactive video is used primarily in tracking and advisory
capacities.
• It links video segments
• This application involves a greater degree of computer control
than the hyper text applications.
III. Expert system
DIFFERENCE BETWEEN ES AND DS
ATTRIBUTE DSS ES
Objective Human decision
maker
Duplicate a human
and replace himRecommendation
about decision
Made by user or
system
Made by system
Major orientation Decision making Transfer of expertise
Query directions Human system System
Data manipulation Numerical Human symbolize
Problem area Complex, board Narrow specific
Type of database Factual knowledge Rules
Reasoning capacity Absent Present
Explanation Limited Total
Leasing capacity Absent present
DSS AND ES DIFFER FROM CONVENTIONAL MIS
Unstructured
Semi-structured
structured
Organization level
Computing involves DSS and ES, DSS differs from conventional MIS.
They have several advantage they are geared to information
manuplation
They are operated directed by their users and they help managers make
non- routine in unstructured decisions.
ES differ from MIS primarily is the use of artificial intelligence.
They are particularly relevant for unstructured problems and use
more tolerant of errors and imperfect knowledge than are
conventional programs.
KWS ESS
DSS
TPS
MISEIS