KNOWLEDGE BASED DECISION SUPPORT SYSTEMS

ANNA UNIVERSITY TIRUCHIRAPPALLI
Tiruchirappalli - 620 024 Regulations 2007
Syllabus B.E. COMPUTER SCIENCE AND ENGINEERING
SEMESTER VIII (Common to CSE 8th Semester and IT 7th Semester)
KNOWLEDGE BASED DECISION SUPPORT SYSTEMS
(Common to CSE and IT)

UNIT I BASIC CONCEPTS 9
Decision making systems − Modeling and support − Basics and definition − Systems models −
Modeling process − Decision making − Intelligence phase − Design phase − Choice phase −
Evaluation − Implementation phase − Alternative decision making models − Decision support systems
− Decision makers − Case applications.

UNIT II DECISION SUPPORT SYSTEM DEVELOPMENT 9
Decision support system development − Basics − Life cycle − Methodologies − Prototype −
Technology levels and tools − Development platforms − Tool selection − Developing DSS −
Enterprise systems − Concepts and definition − Evolution of information systems − Information needs
− Characteristics and capabilities − Comparing and integrating EIS and DSS − EIS data access − Data
warehouse − OLAP − Multidimensional analysis − Presentation and the web − Including soft
information enterprise on systems − Organizational DSS − Supply and value chains − Decision support
− Supply chain problems and solutions − Computerized systems MRP − ERP − SCM − Frontline
decision support systems.

UNIT III KNOWLEDGE MANAGEMENT 9
Introduction − Organizational learning and memory − Knowledge management − Development −
Methods − Technologies and tools − Success − Knowledge management and artificial intelligence −
Electronic document management − Knowledge acquisition and validation − Knowledge engineering −
Scope − Acquisition methods − Interviews − Tracking methods − Observation and other methods −
Grid analysis − Machine learning − Rule induction − Case-based reasoning − Neural computing −
Intelligent agents − Selection of an appropriate knowledge acquisition methods − Multiple experts −
Validation and verification of the knowledge base − Analysis − Coding − Documenting- and
Diagramming − Numeric and documented knowledge acquisition − Knowledge acquisition and the
internet/intranets − Knowledge representation basics − Representation in logic and other schemas −
Semantic networks − Production rules − Frames − Multiple knowledge representation − Experimental
knowledge representations − Representing uncertainty.

UNIT IV INTELLIGENT SYSTEM DEVELOPMENT 9
Inference techniques − Reasoning in artificial intelligence − Inference with rules − Inference tree −
Inference with frames − Model based and case based reasoning − Explanation and meta knowledge −
Inference with uncertainty − Representing uncertainty − Probabilities and related approaches − Theory
of certainty − Approximate reasoning using fuzzy logic − Intelligent systems development −
Prototyping − Project initialization − System analysis and design − Software classification − Building
expert systems with tools − Shells and environments − Software selection − Hardware − Rapid
prototyping and a demonstration prototype − System development − Implementation − Post
implementation.

UNIT V MANAGEMENT SUPPORT SYSTEMS 9
Implementing and integrating management support systems − Implementation − Major issues −
Strategies − System integration − Generic models MSS − DSS − ES − Integrating EIS − DSS and ES
− Global integration − Intelligent DSS − Intelligent modeling and model management − Examples of
integrated systems − Problems and issues in integration − Impacts of management support systems −
Overview − Organizational structure and related areas − MSS support to business process re-
engineering − Personnel management issues − Impact on individuals − Productivity − Quality and
competitiveness − Decision making and the manager manager’s job − Issues of legality − Privacy and
ethics − Intelligent systems and employment levels − Internet communication − Other societal impacts
− Managerial implications and social responsibilities.

Total: 45

TEXT BOOKS
1. Efrain Turban and Jay E. Aronson, “Decision Support Systems and Intelligent Systems”, 6th
Edition, Pearson Education, 2001.
2. Ganesh Natarajan and Sandhya Shekhar, “Knowledge Management– Enabling Business
Growth”, Tata McGraw Hill, 2002.

REFERENCES
1. George M. Marakas, “Decision Support System”, Prentice Hall India, 2003.
2. Efrem A. Mallach, “Decision Support and Data Warehouse Systems”, Tata McGraw-Hill,
2002.
3. Dalkar, “Knowledge Management – Theory and Pratice”, Elsevir, 2007.
4. Beccrra Fernandez and Laidener, “Knowledge Management – An Evolutionary View”, PHI,
2009.

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