MCDA Flashcards

1
Q

Preference relationships

A

Strict preference order
Indifference order
Weak preference order

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Alternative

A

also known as attribute

product, policy etc.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Additive Value Function (description)

A

most commonly used
5 criteria that must be satisfied
preferential indépendance, corresponding trade off, interval scale, casing constants, linear/complete compensation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Multiplicatively Value Function

A

multiplication

take logarithms turns into additive

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Satisfying levels

A

Simon 1976
Set a satisfactory level of performance for the most important attribute
Eliminate alternatives
Repeat steps for next most important alternative
Can model on an graph with criteria on each axis
Satisfice because unable to maximise
Useful at preliminary stages and routine decisions
Based on bounded rationality
is NOT a prescriptive model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Satisfying levels too strict?

A

Only one alternative remains but still significant attributes not taken into account
Need to be less demanding

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Scoring

A

Assessing values

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Local Scale

A

Best alternative in a decision matrix is 1 and worst is 0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Global Scale

A

End points defined by the tideland worst performance which could realistically occur

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Methods of assigning weights

A

AHP

Direct

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Weights

A

Must sum to 1

Can only be between 0 and 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Analytical Hierarchy Process (AHP) (Description)

A

Matrix with attributes down either side
Comparing two attributes against each other
Aij = K, then Aji = 1/K and Aii = 1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Initial Screening Methods

A

Dominance
Satisficing
Disjunctive

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Dominance (initial screening)

A

Delete any dominate alternatives from further considerations

If there is obviously one which is far behind the others in all areas

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Satisficing (initial screening)

A

Simons 1976 model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Disjunctive (initial screening)

A

set a threshold value for each criterion

17
Q

Lexigraphic approach

A

Rank attributes and compare alternatives used after satisficing and dominance

18
Q

Additive value function (method)

A

1 - Measure each alternative on its performance against another alternative
2 - subjective opinion (utility or value)
3 - apply a wight to each alternative to represent relative importance
4 - find the added value on each alternative (weight x v)

19
Q

Analytical Hierarchy Process (AHP) (method)

A
1 - matrix
2 - abnormal calculations
3 - weighted then given by average
4 - find AW
5 - consistency check