Insurance Policy Advisor

Insurance Policy Advisor

1. CHAPTER ONE: Introduction

   • Background
     • What is Insurance?
     • What is Insurance Policy?
   • Problem Statement
     • Customer with different backgrounds, economic conditions, risk preferences & needs
     • Customer not clearly been informed about coverage
     • Insurance company: challenge on adapting digital marketing strategies
   • Project Objectives
     • To identify the variables for insurance consultant to make a decision making
     • To apply decision tree in constructing rule based on given data set by expert
     • To suggest the suitable insurance policy to the client
   • Scope of the Research
     • User
       • Customer
       • Insurance Consultant
     • Types of Insurance
       • life
       • health
       • investment-oriented
       • annuity
       • accident
   • Project Significant
     • reducing the number of customer who current over/under payments
     • assisting customer to more understand the policy for future coverage
     • Insurance company / expert consultant system has the intelligent techniques ability that able to do suggestion
   • Summary

2. CHAPTER TWO: Literature Review

   • Domain
     • Insurance Policy
       • Introduction to risk management and insurance, 10th ed Dorfman, Mark S. 1945 Cather, David A. 2013
       • Understanding Health Policy, A Clinical Approach 6th ed Bodenheimer T., Grumbach K. 2012
       • Foundations of financial management 14th ed Block, Stanley B. 2011
       • Development of Knowledge Model for Insurance Product Decision Using The Associative Classification Approach Azuraliza Abu Bakar, Zalinda Othman, Mohd Saiful Nizam MD Yusoff & Ruhaizan Ismail, 2010
       • Life Insurance Solomon Stephen Huebner, 1982
       • Life, health & annuity reinsurance 3rd ed Tiller, John E. Tiller, Denise Fagerberg 2009
   • Technique
     • Fuzzy Logic
       • Applications of Fuzzy Classification in Insurance Industry: A Fuzzy Logic Based Approaches Rita Ganguly, Kajla Basu & Anirban Sarkar, 2011
       • A Fuzzy Expert System Approach to Insurance Risk Assessment using FuzzyClips Luis A. Carreno & Dr Yashvant Jani, 1993
       • An Overview Of Insurance Uses of Fuzzy Logic Arnold F. Shapiro, 2007
       • A Fuzzy Logic Based Model For Life Insurance Underwriting When Insurer is Diabetic Sanjeev Kumar & Hemlata Jain, 2012
       • A First Course in Fuzzy Logic Hung T. Nguyen, Elbert A. Walker
     • Decision Tree
       • Data mining concepts, models, methods, and algorithms Kantardzic, Mehmed. 2011
       • Anytime Learning of Decision Trees Saher Esmeir, Shaul Markovitch, 2007
       • Using decision tree for diagnosing heart disease patients Mai Shouman, Tim Turner, Rob Stocker, 2011
     • Fuzzy Decision Tree
       • Software Cost Estimation using Fuzzy Decision Trees Andreas S. Andreo & Efi Papatheocharous, 2008
       • wFDT: weighted fuzzy decision trees for prognosis of breast cancer survivability Umer Khan, Hyunjung Shin, Jong Pill Choi, Minkoo Kim, 2008
     • Case Base Reasoning
       • Artificial Intelligence: A Guide to Intelligent Systems 2nd Ed Michael Negnevitky, 2005
   • Summary

3. CHAPTER THREE: Methodology

   • Preliminary Study
     • Identify Project Domain
       • Project titles
       • Problem statements
       • Objectives
       • Scopes
       • Significances
       • Expected outcome
   • Knowledge Acquisition
   • Data Collection
   • Empirical Study
   • System Development
   • System Evaluation

4. CHAPTER FOUR: Analysis and Discussion

   • J48
   • Fuzzy Logic
     • Matlab