K6707020 Decision Making

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School School of Engineering

Lecture Code K6707020 Subject Classification Specialized Education

Subject Name 意思決定論

Subject Name
（Katakana）イシケッテイロン

Subject Name in
English Decision Making

Instructor NISHIZAKI ICHIRO

Instructor
(Katakana) ニシザキ　イチロウ

Campus Higashi-Hiroshima Semester/Term 3rd-Year,  Second Semester,  Intensive

Days, Periods, and Classrooms (Int) Inte

Lesson Style Lecture Lesson Style
(More Details) 　

Classes are conducted face-to-face or on-demand.

Credits 2.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 2 : Undergraduate Low-Intermediate

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 11 : Electrical, Systems, and Control Engineering

Eligible Students Students enrolled in and before 2022

Keywords Uncertainty, preference, expected utility, subjective (judgmental) probability, multiattribute utility function

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) Program of Electrical,Systems and Information Engineering
（Abilities and Skills）
・Concepts, knowledge and methods which are the basis for studies related to electrical,  systems, and information engineering.

Class Objectives
/Class Outline In this subject, we deal with decision making under uncertainty, and discuss how a decision maker confronting with such decision problems should select an alternative based on his or her judgment and preference.

By participating and learning in this class, students can obtain ability of formulating and resolving problems which is necessary in systems engineering. In particular, they can understand basic frameworks and concepts (1. assessment of utilities for outcomes, 2. quantification of judgment, 3. analysis of decision trees, 4. Bayes' theorem，5. assessment of a multiattribute utility functyion) for making decisions rationally.

Class Schedule 1. Introduction
2. Utility theory: decision making under certainty, completeness, transtivety, value function
3. Utility theory: decision making under uncertainty, stochastic dominance, basic assumptions
4. Utility function: definition of utility function, risk attitude
5. Assessments of utility function: identification of utility functions by using lotteries, assumption of function types
6. Quantification of judgment: judgmental probabilities, probability assessments for decision making
7. Graphcal tools: decision tree
8. Graphical tools: practices of decision trees
9. Graphical tools and Theorems: influence diagram, decision matrix, von Neumann-Morgenstern theorem, Savage theorem
10. Prospect theory: counter examples of maximization of expected utility, rank-dependent utility, reference dependence, loss aversion, event weighting function
11. Multiattribute utility function: multiobjective decision making under certainty, structuring objectives,  domination, efficient frontier, value function, marginal rate of substitution
12. Multiattribute utility function:  identification of multiattribute utility functions
13. Multiattribute utility function: multiobjective decision making under uncertainty, additive utility functions, multiplicative utility functions
14. Multicriteria decision making: AHP
15. Multicriteria decision making: PROMETHEE

15 report assignments

Text/Reference
Books,etc. Mathematical methods for decision making, I. Nishizaki, Morikita Publishing, 2017 (in Japanese)

PC or AV used in
Class,etc. 　

(More Details) PC, projector

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review In the first class, students should try to understand the outline of lecture.
In the second to fifth classes, they should try to understand utility of a decision maker.
In the sixth class, they should try to understand assessment of probabilities from a viewpoint of the decision maker.
In the seventh to eighth classes, students should try to understand rational decision making using a decision tree based on the concepts introduced so far.
In the ninth class, they should try to understand axiomatic approaches of decision making.
In the tenth class, they should try to understand descriptive aspects of decision making.
In the eleventh, twelfth, and thirteenth classes, they should try to understand extension from a single-attribute utility function to a multiattribute utility function.
In the fourteenth and fifteenth classes, they should try to understand differences between decision making methods.

Requirements As a general rule, students must attend all classes, and submit assignments.

Grading Method Students are basically evaluated by fifteen assignments.

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other Support: Tomohiro Hayashida (Office: A1-243，Extension Number: 5267，Email: hayashida@hiroshima-u.ac.jp)

Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching.

Academic Year	2024Year	School/Graduate School	School of Engineering
Lecture Code	K6707020	Subject Classification	Specialized Education
Subject Name	意思決定論
Subject Name （Katakana）	イシケッテイロン
Subject Name in English	Decision Making
Instructor	NISHIZAKI ICHIRO
Instructor (Katakana)	ニシザキ　イチロウ
Campus	Higashi-Hiroshima	Semester/Term	3rd-Year, Second Semester, Intensive
Days, Periods, and Classrooms	(Int) Inte
Lesson Style	Lecture	Lesson Style (More Details)
Classes are conducted face-to-face or on-demand.
Credits	2.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	2 : Undergraduate Low-Intermediate
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	11 : Electrical, Systems, and Control Engineering
Eligible Students	Students enrolled in and before 2022
Keywords	Uncertainty, preference, expected utility, subjective (judgmental) probability, multiattribute utility function
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)	Program of Electrical,Systems and Information Engineering （Abilities and Skills）・Concepts, knowledge and methods which are the basis for studies related to electrical, systems, and information engineering.
Class Objectives /Class Outline	In this subject, we deal with decision making under uncertainty, and discuss how a decision maker confronting with such decision problems should select an alternative based on his or her judgment and preference. By participating and learning in this class, students can obtain ability of formulating and resolving problems which is necessary in systems engineering. In particular, they can understand basic frameworks and concepts (1. assessment of utilities for outcomes, 2. quantification of judgment, 3. analysis of decision trees, 4. Bayes' theorem，5. assessment of a multiattribute utility functyion) for making decisions rationally.
Class Schedule	1. Introduction 2. Utility theory: decision making under certainty, completeness, transtivety, value function 3. Utility theory: decision making under uncertainty, stochastic dominance, basic assumptions 4. Utility function: definition of utility function, risk attitude 5. Assessments of utility function: identification of utility functions by using lotteries, assumption of function types 6. Quantification of judgment: judgmental probabilities, probability assessments for decision making 7. Graphcal tools: decision tree 8. Graphical tools: practices of decision trees 9. Graphical tools and Theorems: influence diagram, decision matrix, von Neumann-Morgenstern theorem, Savage theorem 10. Prospect theory: counter examples of maximization of expected utility, rank-dependent utility, reference dependence, loss aversion, event weighting function 11. Multiattribute utility function: multiobjective decision making under certainty, structuring objectives, domination, efficient frontier, value function, marginal rate of substitution 12. Multiattribute utility function: identification of multiattribute utility functions 13. Multiattribute utility function: multiobjective decision making under uncertainty, additive utility functions, multiplicative utility functions 14. Multicriteria decision making: AHP 15. Multicriteria decision making: PROMETHEE 15 report assignments
Text/Reference Books,etc.	Mathematical methods for decision making, I. Nishizaki, Morikita Publishing, 2017 (in Japanese)
PC or AV used in Class,etc.
(More Details)	PC, projector
Learning techniques to be incorporated
Suggestions on Preparation and Review	In the first class, students should try to understand the outline of lecture. In the second to fifth classes, they should try to understand utility of a decision maker. In the sixth class, they should try to understand assessment of probabilities from a viewpoint of the decision maker. In the seventh to eighth classes, students should try to understand rational decision making using a decision tree based on the concepts introduced so far. In the ninth class, they should try to understand axiomatic approaches of decision making. In the tenth class, they should try to understand descriptive aspects of decision making. In the eleventh, twelfth, and thirteenth classes, they should try to understand extension from a single-attribute utility function to a multiattribute utility function. In the fourteenth and fifteenth classes, they should try to understand differences between decision making methods.
Requirements	As a general rule, students must attend all classes, and submit assignments.
Grading Method	Students are basically evaluated by fifteen assignments.
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other	Support: Tomohiro Hayashida (Office: A1-243，Extension Number: 5267，Email: hayashida@hiroshima-u.ac.jp)
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching.

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