SMART Flashcards

1
Q

what are the problems with multi-attribute decision making?

A

attribute selection, comparing alternatives on attributes, and combining performance data to make the selection

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

what are the criteria for a value tree?

A

completeness, operationality, decomposability, absence of redundancy, minimum size.

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

what are the three types of attribute SMART defines?

A

monetary, those with a natural numeric scale, those without a natural numeric scale

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

how does SMART measure attributes with a natural numeric scale?

A

value function

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

how does a value function work?

A

worst choice gets 0, best gets 100. place others inbetween proportionally

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

how does SMART measure attributes with no numeric scale?

A

direct rating

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

how does direct rating work?

A

decision maker’s best and worst choices are given 100 and 0. Then ask them to place the rest on the scale 0-100.

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

why are scales of 0-100 used in SMART when comparing alternatives on attributes?

A

so every attribute’s contribution to the overall choice is equally weighted, and swing weights can be applied to an equal playing field.

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

how do swing weights work?

A

note the actual values of the best and worst choices for each attribute. then order them by asking ‘if you have the worst of everything, which one would you choose to change to the best?’. keep going until you’ve done them all, best attribute gets 100 and worst gets 0. use direct rating for the rest. the total can be more than 100.

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

how do you work out the total benefit points for an option with SMART?

A

sum of (attribute score * normalised attribute weight).

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

how do you create an efficient frontier using SMART cost-benefit options?

A

plot the costs and benefits against each other, the efficient frontier is the options that aren’t dominated by any other.

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

how do you work out cost of a value point in SMART?

A

identify an attribute the decision maker can say they’d pay £x to swing from best to worst. then do £x/(normalised weight*100) to find how much they’d pay per point.

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

what are the advantages of SMART?

A

it breaks the problem down and makes it easier to handle, allows decision maker to address all the information and objectives, can carry out what if analysis, helps with information gathering, provides defensible rationale, challenges intuition, helps consistency and it’s quick/transparent compared to other methods.

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

what are the disadvantages of SMART?

A

it’s time-consuming, the ratings and weights can depend on the question framing, there is an assumption of linearity in the value functions and when working out £/value point.

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

what is the difference between decomposability and absence of redundancy?

A

decomposability asks to ensure attributes are independent from each other, absence of redundancy just ensure there is no duplication.

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

what do swing weights rank?

A

the value of changing from worst to best in an attribute (NOT the value of the attribute. changing from worst to best kitchen may be worth much more than worst to best bedroom, even if bedroom is more important to you).