Spatial Decision Making Methods

Lecturer: Sheng-Long Kao (高聖龍)

Email: slkao@mail.ntou.edu.tw

Phone: 02-2462-2192＃7033

Webpage: tsweb.ntou.edu.tw/p/412-1072-6973.php?Lang=zh-tw

Course ID: M6801NAN

Credits: 3

Objective:

Methodology of the Spatial Decision Support and AI Systems (Spatial decision methodology) Methods of using space and time axis to discuss decision-making include multi-criteria decision-making (MCDM), fuzzy theory (FT), marine geographic information system (MGIS), artificial intelligence system development (AI SYSTEM), neural network (ANN), and time series analysis (TSA) Genetic Algorithm (GA) Chaos Theory (CHAOS) Data Mining (DM) Big Data Analysis (BDA)... and other methodologies and related software applications.

Course Prerequisites: None

Outline: None

1.Marine GIS (ARC Map)

2.MCDM

3.Fuzzy Theory

4.GA Theory

5.Game Theory

6.CHAOS theory

7.Gray Theory

8.AI

9.ANN

10.Big Data Analysis and Data Mining

Teaching Method:

Oral class Slideshow Films and Movies Meeting Tutorial Teaching software Visit and training

Reference:

1.Jacek Malczwwski,GIS and Multicriteria Decision Analysis,1999

2.Joseph M. Sussman,”Perspective on Intelligent Transportation Systems”2004.

3.Paul A,et al,”Geograpgic Information Systems and Science,Wiley,ESRI.

Course Schedule (subject to change):

Weekly Unit Subject Week course introduction, grading regulations Overview of Research Methods and Ways of Thinking Research process How to explore the literature Setting and discussion of research direction Establish research hypothesis, select research design MCDM spatial information decision-making method Determine the criterion weight method (AHP ANP) Simulation implementation EXPERT CHOICE software Interim report FUZZY constructs Fuzzy Research Tool Method FUZZY data processing GA genetic algorithm CHAOS Chaos Theory,Big DATA Gray Theory and ANN MATLAB Software Final Report