## 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.

 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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