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The Analytic Hierarchy

Process and SDSS

RNR/GEOG 420-520

Preview

„

Week 12 – Spatial Decision Support Systems

(SDSS) and the Analytic Hierarchy Process

(AHP)

„

Week 13 – Designing Geodatabase Models

„

Week 14 – GeoVisualization and Pseudo 3D

models

(2)

Grad Student Study Plans

„

Have you all picked a topic?

„

Have you talked to Craig or I about this topic?

„

These are due April 25 – that’s 2 weeks from

today

Overview of SDSS and AHP

„

The Basics: Decision Making & Problem Solving

„

Decision Support Systems

„

Spatial Decision Support Systems

‰

The element of location

‰

The relationship to GIS

‰

GIS and Group decision making

„

The Analytic Hierarchy Process

‰

AHP and GIS, a Group SDSS

(3)

Problem Solving and Decision Making

„

Decision making

‰

Intelligence: identify and

define potential problems

and/or opportunities.

‰

Design: develop alternative

solutions to the problem.

‰

Choice: select a course of

action.

„

Problem solving

‰

Implementation: take action

to put the solution into

effect.

‰

Monitoring: evaluate the

implementation of the

solution.

Types of Decisions

Structured decisions use

a rule, procedure, or

quantitative method

Unstructured decisions

deal with unusual or

exceptional situations

Most decisions are

semi-structured, where only part of

the problem has a clear-cut

answer provided by a

well-defined procedure

(4)

„

It is an information system (not necessarily a

computer system) that combines data,

analytical tools and models to support

semi-structured and unsemi-structured decision making

„

It is not a decision maker

A Decision Support System

Structured

Unstructured

Components of a DSS

„

Information System

Access to internal and external

databases

„

Model System

Access to a variety of

simulation and/or decision

making models

„

Analysis System

Uses data and models to

answer questions

„

User Interface

User-friendly access to the

above systems

(5)

Group Decision Support Systems

Group Decision Support System (GDSS)

Contains most of the elements of DSS plus

software to provide effective support in group

decision-making settings.

Components of Group DSS

„

Database

„

Model base

„

Analysis System

„

Dialogue manager

„

Communication capability

(6)

Group DSS Equipment

Database

Model base

Dialogue manager

Communication capability

Special software (also called GroupWare)

Decision Room

For decision makers located in the

same geographic area or building.

Use of computing devices, special

software, networking capabilities,

display equipment, and a session

leader to collect, coordinate, and

feed back organized information to

help a group make a decision.

Combines face-to-face verbal interaction

with technology-aided formalization.

Or …

Wide Area Decision Network

z

Location of group members is distant.

z

Decision frequency is high

z

Virtual workgroups

Groups of workers located around

the world working on common

problems via a GDSS.

(7)

Spatial Decision Support System

„

SDSS add the element

of location

„

Lots of different

applications for SDSS

„

Almost all of them

involve GIS

Spatial decision-making:

select from spatially

distributed options

SDSS and GIS

„

GIS is a natural component of

SDSS

„

GIS is not an SDSS

„

GIS can provide certain tools

for assisting in the decision

making process, e.g.

‰

a spatial database

‰

maps/displays as means of

visualising a problem

‰

overlays as means of defining

relationships between layers

‰

modelling as means of

predicting outcomes

(8)

Components of SDSS

„

Information System

Access to internal and external

databases

„

Model System

Access to a variety of decision

making models

„

Spatial System

Access to a variety of spatial data

„

Analysis System

Uses information, models, and

spatial data to answer

questions

„

User Interface

User-friendly access to the above

systems

An Example –

Analytic Hierarchy Process (AHP)

The Analytic Hierarchy Process (AHP) is a powerful

and flexible decision making process to help people

set priorities and make the best decision when both

qualitative and quantitative aspects of a decision

need to be considered. By reducing complex

decisions to a series of one-on-one comparisons,

then synthesizing the results, AHP not only helps

decision makers arrive at the best decision, but also

provides a clear rationale that it is the best.

(9)

The AHP Process

„

State the goal

„

Define the criteria (variables)

„

Identify the alternatives (choices/solutions)

„

Arrange information in a hierarchical tree

„

Make pairwise comparisons

„

Construct matrix of comparisons

„

Calculate priorities (eigenvectors)

Remember, it is more

important to know the

AHP process than the

AHP math for the

exam!

Example: situating a landfill

„

State the Goal

‰

Select site for landfill

„

Define the Criteria (or Variables)

‰

Area (we need enough space for all the trash)

‰

Visibility (we need a location that nobody can see)

‰

Drainage (we need a location far from major drainages)

„

Identify the Alternatives (or Choices)

‰

Site 1

‰

Site 2

‰

Site 3

(10)

Hierarchical Arrangement

Pairwise Comparison

– Alternatives and Variables

Locate a Landfill Craig’s House Site 3 Site 2 Site 1

Objective

Alternatives

Criteria

Area Distance to Drainage Visibility

Make Pairwise Comparisons

„

Area

is 2 times more important than

Drainage

„

Drainage

is 3 times more important than

Visibility

„

Area

is 4 times more important than

Visibility

1

0.25

0.333

Visibility

4

1

2

Area

3

0.5

1

Drainage

Visibility

Area

Drainage

(11)

To Calculate Priorities …

„

Square the matrix

„

The row sums are then calculated and

normalized

This results in an approximation of the eigenvector

„

Stop when the difference between the values in

two consecutive calculations is smaller than a

prescribed value

(e.g. 0.00001)

Matrix Mathematics

1.000

0.250

0.333

4.000

1.000

2.000

3.000

0.500

1.000

3.000

0.667

1.167

14.000

3.000

5.333

8.000

1.750

3.000

„

Original matrix

(12)

More Matrix Mathematics

3.000

0.667

1.167

14.000

3.000

5.333

8.000

1.750

3.000

= 12.750

= 22.333

= 4.833

Row

Totals

12.750/39.9165 = 0.3194

22.333/39.9165 = 0.5595

4.833/39.9165 = 0.1211

39.9165

Priorities

(eigenvector)

Results

„

Repeat until differences in the priorities are

zero to the ten-thousandths position

„

Area: 0.5595

(Most important)

„

Drainage: 0.3194

(Second most important)

(13)

Pairwise – Alternatives and Variables

Locate a Landfill Craig’s House Site 3 Site 2 Site 1

Objective

Alternatives

Criteria

Area Distance to Drainage Visibility

How Does This Provide an Answer?

0.623 0.138 0.239 0.155 0.069 0.777

Area

Visibility

Drainage

Craig’s

Site 1

Area

Visibility

Drainage

First, AHP does pairwise comparisons between

the alternatives for each of the criteria/variables

Craig’s

Site 1

Site 3

Site 2

.05

.15

.35

.45

Based on these

comparisons, it scores

and ranks the alternatives

(14)

What About AHP and SDSS?

Find a Location For Lagomorphis millepidis New Fencing Area Vegetation Patchiness Site D Site C Site B Site A

Objective

Alternatives

Criteria/

Variables

What Happens When there are Thousands

of Alternatives?

Find a Location For Lagomorphis millepidis New Fencing Area Vegetation Site D Site C Site B Site A

Objective

Alternatives

Criteria/

Variables

Site D Site C Site B Site A Site D Site C Site B Site A Site D Site C Site B

Site ASite A Site B Site C Site D Site D Site C

Site B

Site ASite A Site B Site C Site D Site D Site C

Site B

Site ASite A Site B Site C Site D Site D Site C

Site B

Site ASite A Site BSite B Site CSite C Site DSite D Site A Site BSite BSite B Site CSite CSite C Site DSite DSite D Site ASite A Site B Site C Site D

Site D Site C Site B Site A Site D Site C Site B

Site A Site B Site C Site D

Site A Site B Site C Site D

Site ASite A Site B Site C Site D Site D Site C Site B Site A Site D Site C Site B Site A Site D Site C Site B Site A Site D Site C Site B

Site A Site B Site C Site D

Site A Site B Site C Site D

Site A Site B Site C Site D

Site ASite A Site B Site C Site D Site D Site C Site B Site A Site D Site C

Site B Site C Site D

(15)

When There are Too Many Alternatives

Find a Location For Lagomorphis millepidis New Fencing Area Vegetation Site D Site C Site B Site A Site D Site C Site B Site A Site D Site C Site B Site A Site D Site C Site B

Site ASite A Site B Site C Site D Site D Site C

Site B

Site ASite A Site B Site C Site D Site D Site C

Site B

Site ASite A Site B Site C Site D Site D Site C

Site B

Site ASite A Site BSite B Site CSite C Site DSite D Site ASite A Site BSite B Site CSite C Site DSite D Site A

Site D Site C

Site B

Site ASite A Site B Site C Site D Site D Site C Site B Site A Site D Site C Site B Site A Site D Site C Site B

Site A Site B Site C Site D

Site ASite ASite A Site BSite B Site CSite C Site DSite D Site D Site C Site B Site A Site D Site C Site B Site A Site D Site C Site B

Site A Site B Site C Site D

Site A

Site D Site C

Site B

Site A Site B Site C Site D

Site ASite A Site B Site C Site D Site D Site C Site B Site A Site D Site C Site B

Site A Site B Site C Site D

Site A Site 101,000 Site 101,001 Site 101,002 Site 100,999

And you have ratio

scale data …

Instead of doing

pairwise

comparisons

between

alternatives, use

the variable

scores to weight

the alternatives

References

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