The document discusses intelligent decision support systems (IDSS). It defines an IDSS as a decision support system that makes extensive use of artificial intelligence techniques like expert systems and knowledge-based systems to provide intelligent decision-making support through learning and reasoning. Key differences between IDSS and regular decision support systems include IDSS's ability to extract useful patterns from data, support a wider range of decisions including those with uncertainty, and provide confidence estimates and justifications for its recommendations. The document outlines how IDSS can incorporate expertise and flexibility to support learning and decisions, and describes typical IDSS architectures and design/building processes.

1. INTELLIGENT DECISION
SUPPORT SYSTEMS
Presented To:
Babar Hayat
Presented By
Toseef Aslam

2. WHAT IS DSS?
 A DSS is a computer-based information system that
supports business or organizational decision-making
activities.
 A DSS is a collection of integrated software
applications and hardware that form the backbone of
an organization’s decision making process and help to
make decisions, which may be rapidly changing and
not easily specified in advance.

3. DEFINITION OF DSS
 A Decision Support System (DSS) is a system under the control of
one or more decision makers that assists in the activity of decision
making by providing an organized set of tools intended to impart
structure to portions of the decision-making situation and to improve
the ultimate effectiveness of the decision outcome.
 A Decision Support System (DSS) is a system which lets one or more
people to make decision/s in a concrete domain, in order to manage it
the best way, selecting at each time the best alternative among a set of
alternatives, which generally are contradictory

4. DECISION MA KING A S A COMPONENT OF
PROBLEM SOLVING

5. DSS OBJECTIVES
Increase the effectiveness of the manager's
decision making process.
Supports the manager in the decision-making
process but does not replace it.
 Improve the directors effectiveness of decision
making.

6. DSS REQUIREMENTS
Data collection from multiple sources (sales data,
inventory data, supplier data, market research data.
etc.).
 Data formatting and collation.
A suitable database location and format built for
decision support -based reporting and analysis .
Robust tools and applications to report, monitor, and
analyze the data.

7. DSS ADVANTAGES
Time savings
 Enhance effectiveness
 Improve interpersonal communication
 Competitive advantage
 Cost reduction
 Increase decision maker satisfaction
Promote learning
 Improves personal efficiency

8. ADVANCED DECISION SUPPORT
SYSTEMS
DSS are a model-based set of procedures for processing data
and judgments to assist a manager in his/her decision.
DSS couple the intellectual resources of individuals with the
capabilities of the computer to improve the quality of
decisions. It’s a computer-based support for management
decision makers who deal with semi-structured problems.
 DSS is a system that is extendable, capable of supporting ad
hoc analysis and decision modeling, oriented towards future
planning, and of being used at irregular, unplanned intervals.

9. INTELLIGENT DECISION SUPPORT
SYSTEM (IDSS)
 Intelligent decision support is provided by a
system that helps in decision-making through a
display of intelligent behavior that may include
learning and reasoning.
 Such learning and reasoning can be achieved
through implementing rule-based expert systems,
knowledge-based systems.

10. DIFFERENCES BETWEEN IDSS
AND DSS
An IDSS is a specific domain knowledge from raw data by
identifying and extracting strategically useful information
patterns from this data, thus making the extracted patterns
understandable and usable for decision-making. IDSS,
unlike DSS, allows for supporting a wider range of
decisions including those with uncertainty. IDSS, in
addition to giving recommendations, may also contribute
estimates of the level of confidence in the
recommendations it gives.

11. IDSS can handle complex problems,
applying domain-specific expertise to assess
the consequences of executing its
recommendations. Decisions supported by
IDSS also tend to be more consistent, timely
and better managed in terms of managing
uncertainty in the outcomes. The
justification of outcomes provided by an
IDSS is particularly significant.

12. HOW CA N INTELLIGENT DECISION
SUP P ORT SY ST EMS WOR K

13. WHAT IS AN IDSS
 An intelligent decision support system (IDSS) is a decision
support system that makes extensive use of artificial intelligence
(AI) techniques. ... Research in AI focused on enabling systems to
respond to novelty and uncertainty in more flexible ways is starting
to be used in IDSS.
 A decision support system with embedded artificial intelligence
techniques exhibiting some or all of the abilities indicative of
intelligent systems
 Interactive computer system that utilizes artificial intelligence
methods to assist and enhance human decision making.

14. This is an intelligent information system that reduces
the time in which decisions are made in an
environmental domain, and improves the consistency
and quality of those decisions.
This is a computer system that assists decision makers
in choosing between alternative beliefs or actions by
applying knowledge about the decision domain to
arrive at recommendations for the various options. It
incorporates an explicit decision procedure based on a
set of theoretical principles that justify the
“rationality” of this procedure.

15. The use of Artificial Intelligence tools and models
provides direct access to expertise, and their
flexibility makes them capable of supporting
learning and decision making processes. There
integration with numerical and/or statistical
models in a single system provides higher accuracy,
reliability and utility.
BENEFITS OF ARTIFICIAL
INTELLIGENCE

17. IDSS ARCHITECTURE

18. DESIGN AND BUILDING
OF AN IDSS
IDSS REQUIREMENT AND
ANAYLISIS