Structure of the book

As explained before, the modified Ackoff-Sasieni utility function (see Equation 2) describes the structure of a decision-making problem. Table 3 shows how each part of the book relates to this formula.

Table S Structure of the book

Exercises Chapter

Cases Chapter

Chapter title

Relationship to formula

i

9

Linear programming with negotiable constraints

Input variables D; are considered to be negotiable outside the model.

2

10

Monte Carlo simulation

Some of the input variables Fj are considered to follow probability curves, yielding the probability distribution of the utility.

S

11

Project Network Planning

The input variables Fj are considered to follow probability curves, yielding the probability of the utility. Some of the input variables Fj can be influenced by mitigations to improve the probability of a minimum required utility value (maximum acceptable throughput time).

4

12

Regression analysis

The relationship f is established on the basis of multiple regression analysis.

5 & 6

13 & 14

Preference measurement

Preference measurement is used to incorporate soft variables quantitatively as input variables Fj.

ยง1.5

15

Multi Criteria Optimisation

Input variables D; are considered to be negotiable outside the model.

l

16

Non-linear optimisation

The relationship f is considered to be non-linear.

B

17

Geometric modelling

The input variables Fj are partly Boolean (0/1).

Part I

Exercises

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