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Institute of Business and Management

National Chiao Tung University, Taiwan

Course ID

IBM 6029

Course Name

Decision Science

Credit hours



Jin-Li Hu


Calculus, Statistics


Chien, C.F. (2005), Decision Analysis and Management: A Unison Framework for Total Decision Quality Enhancement (in Chinese), Taipei: Yeh Yeh Book Gallery.

Objective of the Course

This course provides a comprehensive as well as technical introduction to decision science.

Course outlines

Part I Introduction

Chapter 1 Decision

Chapter 2 Types of Decision Problems

Chapter 3 Decision Traps

Part II Systematic Decision Analysis

Chapter 4 Decision Framework and Process

Chapter 5 Objectives and Attributes

Chapter 6 Alternative Development

Chapter 7 Evaluation and Tradeoff

Part III Multiple Attribute Decision Analysis (MADA)

Chapter 8 Simple Multi-Attribute Ranking Technique (SMART)

Chapter 9 Analytic Hierarchy Process (AHP)

Chapter 10 Data Envelopment Analysis (DEA)

Part IV Decision under Uncertainty

Chapter 11 Decision under Strict Uncertainty

Chapter 12 Decision under Risk and Value of Information

Chapter 13 Bayesian Decision Analysis and Bayesian Network

Chapter 14 Risk Preference and Utility Theory

Chapter 15 Fuzzy Theory and Grey System Theory

Chapter 16 Decision Information System

Chapter 17 Data Mining, Business Wisdom, and Knowledge Management

Useful Links

  1. Decision Sciences:
  2. Decision Sciences Journal:

Course requirements

Class attendance and in-class discussion (30%), homework (30), oral presentation (20%), and term paper (20%)