MCDA Flashcards
Preference relationships
Strict preference order
Indifference order
Weak preference order
Alternative
also known as attribute
product, policy etc.
Additive Value Function (description)
most commonly used
5 criteria that must be satisfied
preferential indépendance, corresponding trade off, interval scale, casing constants, linear/complete compensation
Multiplicatively Value Function
multiplication
take logarithms turns into additive
Satisfying levels
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
Satisfying levels too strict?
Only one alternative remains but still significant attributes not taken into account
Need to be less demanding
Scoring
Assessing values
Local Scale
Best alternative in a decision matrix is 1 and worst is 0
Global Scale
End points defined by the tideland worst performance which could realistically occur
Methods of assigning weights
AHP
Direct
Weights
Must sum to 1
Can only be between 0 and 1
Analytical Hierarchy Process (AHP) (Description)
Matrix with attributes down either side
Comparing two attributes against each other
Aij = K, then Aji = 1/K and Aii = 1
Initial Screening Methods
Dominance
Satisficing
Disjunctive
Dominance (initial screening)
Delete any dominate alternatives from further considerations
If there is obviously one which is far behind the others in all areas
Satisficing (initial screening)
Simons 1976 model