By P.P. Wakker
`This e-book represents a really genuine and significant contribution to the maths of determination thought.
The distinguishing characteristic of Wakker's method is that he has little need of a reference experiment.
There are extra effects aplenty and lots more and plenty for the choice theorist to examine. those effects also will aid psychologists, economists and others formulate and attempt versions of decision-making behaviour.
through any criteria its e-book is a landmark ... first-class survey and precis of the literature on additive choice types. every one web page represents the distillation of a lot notion. in this case, it's a booklet that rewards analyzing and rereading. Wakker's effects and techniques of facts will enlighten learn into determination concept for lots of years.'
British magazine of Mathematical and Statistical Psychology, forty three, 1990
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Additional resources for Additive Representations of Preferences: A New Foundation of Decision Analysis
1. It implies continuity of every ~ j. X2) ~ «YI,Y2) if xl> YI or Xl = YI and x2 ~ Y2) has every ~j (= ~) continuous. ~ (O,O)} = IR++ is not closed. The following lemma will be needed for topological details in many proofs in the sequel. It further reflects the idea that connectedness guarantees the absence of 'holes'. The first statement will mostly be applied to ~j instead of ~. S. 2 holds. Let weak order. Then: ~ be a continuous If X >- z. then there exists a y such that x >- y >- z. Now let ~ further be weakly separable.
Yk) = y. By transitivity of Pd we get x Pd y. From this also follows that ~ is trivial whenever all coordinates are inessential. Conversely, if ~ is trivial, then X_jVj Pd X_jWj for all X_jVj' X_jWj so that every coordinate j is inessential. o The above lemma shows that inessential coordinates may just as well be suppressed. In the sequel we will sometimes do so. The conditions for binary relations introduced below will be assumed, or implied by other assumptions, throughout this monograph, with the exception of Chapter VI.
N}, for n E IN. Many definitions and results of this chapter are as well applicable to infinite index sets I. The idea is that every alternative is described by a list of properties, indexed by I. For instance, alternative x = (x l ,x2,xS ,x4) may describe a- car, where xl is the maximum speed, x2 the price, Xs a description of what the car looks like, x4 the fuel consumption. For alternatives x,y, x ~ y means that x is thought at least as good as y. Let us emphasize that no physical quantification of the coordinates is needed for our work.
Additive Representations of Preferences: A New Foundation of Decision Analysis by P.P. Wakker