Decision Support System for Resource Management detail syllabus for Geoinformatics Engineering (Geo), 2017 regulation is taken from Anna University official website and presented for students of Anna University. The details of the course are: course code (GI8702), Category (PC), Contact Periods/week (3), Teaching hours/week (3), Practical Hours/week (0). The total course credits are given in combined syllabus.
For all other geo 7th sem syllabus for be 2017 regulation anna univ you can visit Geo 7th Sem syllabus for BE 2017 regulation Anna Univ Subjects. The detail syllabus for decision support system for resource management is as follows.”
Course Objective:
- To impart the knowledge of Expert Systems, fuzzy logic and operation research techniques for Geoinformatics Engineering.
Unit I
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Unit II
Rule Based Expert Systems
Levels and sources of Knowledge-Knowledge Engineering – process – Knowledge Acquisition Methods- RGA analysis – Machine learning – Validation, Representation schemes, Rule, Semantic network, frames and logic – Inference Techniques – Types of Reasoning deductive, inductive, adductive, analogical and non-monotonic – Rule based Expert system – Evolution – Architecture -Evolution – Architecture – conflict resolution – types of inference: forward and backward chaining -search techniques – Case studies: MYCIN, PROSPECTOR – R Environment – Examples in geomatics
Unit III
Inexact Reasoning
Bayesian theory, examples – Certainty theory: overview, uncertain evidence, rule inferencing -certainty factors – Fuzzy sets – Representation, hedges inference and fuzzy logic – Classification of RS data using Fuzzy logic.
Unit IV
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Unit V
Network and Inventory Models
Shortest route – minimal spanning tree – maximum flow models – project network- CPM and PERT network-critical path scheduling – Types of Inventory- The classical EOQ model -Deterministic inventory problems – Price breaks – Stochastic inventory problems- selective inventory control techniques
Course Outcome:
- At the end of the course, the student will be able to understand the concept of the Expert Systems, fuzzy logic and operation research techniques and their application in Geoinformatics Engineering.
Text Books:
- Peter Jackson, Introduction to Expert systems| , Pearson Education, 2004.
- Turban E., Expert Systems and Applied Artificial Intelligence| , Macmillan, 2004.
References:
- Donald A.Waterman., A Guide to Expert systems| , Pearson Education, 2001.
- Durkin.J., Expert Systems Design and Development| , Prentice Hall, 1994
- Dan.W.Patterson, Introduction to Artificial Intelligence and Expert systems, Prentice Hall, 2003.
- Ermine.J.I, Expert Systems: Theory and Practice| , Prentice
For detail syllabus of all other subjects of BE Geo, 2017 regulation do visit Geo 7th Sem syllabus for 2017 Regulation.
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