Integrated Rule-Based and Case-Based reasoning approaches for Insurance

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Integrated Rule-Based and Case-Based reasoning
approaches for Insurance
Presented BY Palwencha Nagraj Krishna (04329801)
3rd Stage Project Presentation
Guided By Prof Rajendra M. Sonar
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Content

• Expert System
• Case Based Reasoning
• Hybrid Intelligent Systems
• Objective of Project
• Insurance Domain Study
• Developing Rules and Case Schema
• Screenshots of Domain Application
• Scope for Further Development

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Expert Systems

• Expert systems are defined as an intelligent
  computer program that uses knowledge and
  inference procedures to solve problems those are
  difficult enough to require significant human
  expertise for their solution.
• Knowledge-based expert systems, or simply expert
  systems, use human knowledge to solve problems
  that normally would require human intelligence.

Dr. Peter R. Gillett, Associate Professor,
Department of Accounting Information Systems,
Faculty of Management, Rutgers University
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Case Based Reasoning

• Case base reasoning system use the technique to
  match a situation or problem description to a
  stored database.
• Input is given by the user on the current
  situation and the output is case retrieval to the
  most similar match to the database.
• The CBR engine first searches for case history
  that are similar to the given description.
• The main intention is to reuse previous
  experiences for actual problems.

. Diagnostic Stratrgies, Expert System
Development Series Introduction to Case- Base
Reasoning, www.DiagnosticStrategies.com.
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Hybrid Intelligent Systems

• Hybrid Intelligent System is a combination of
  multiple techniques
• Almost every conceivable problem has been
  approached using some form of hybrid system.

Suran Goonatilake, Sukdev Khebbal, Intellegent
Hybrid Systems , Goonatilake Khebbal Editor
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Objective of Project
Field Officer
Risk Assessment
Agent
Advice Policy
Client
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Insurance Study Analysis

• Interview of agents and field officer
• Collection of information from documents and
  website of LIC
• Studying different insurance policies.
• Prepared data dictionary
• Prepared knowledge base for Insurance advisor
• Studied Underwriting for Life Insurance
• Retrieved Information related to Mortality
  Rating

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Developing Rules
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Policy Advice
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Customer Assessment

• Start of System

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Scope for Further Development

• Feedback from many users for the insurance
  advisor system .
• Underwriting has been tested for the limited data
  generated .
• Field validation for underwriting output

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• Thank You