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Formulation of the . . . What If We Only Know Our Solution Hurwiczs Home Page Optimism-Pessimism Title Page Parameter with Interval Uncertainty? Page 1 of 6 Jeffrey Hope, Olga Kosheleva, and Go Back Vladik


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What If We Only Know Hurwicz’s Optimism-Pessimism Parameter with Interval Uncertainty?

Jeffrey Hope, Olga Kosheleva, and Vladik Kreinovich

University of Texas at El Paso El Paso, TX 79968, USA jshope2@miners.utep.edu, olgak@utep.edu, vladik@utep.edu

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1. Formulation of the Problem

  • In many practical situations, we do not know the exact

consequences of each possible action.

  • As a result:

– instead of single utility value u, – we can characterize each possible action by the in- terval [u, u] of possible utility values.

  • In such cases, decision theory recommends an alterna-

tive for which the following combination is the largest: α · u + (1 − α) · u = u + α · (u − u).

  • The parameter α is known as Hurwicz’s optimism-

pessimism parameter.

  • It may be different from different people.
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2. Formulation of the Problem (cont-d)

  • The value α = 1 corresponds to absolute optimists.
  • The value α = 0 describes a complete pessimist.
  • Values between 0 and 1 describe reasonable decision

makers.

  • The parameter α needs to be determined based on a

person’s preferences and decisions.

  • Often, in different situations, the decisions of the same

person correspond to different values α.

  • As a result, instead of a single value α, we have the

whole range [α, α] of possible values.

  • In this case, how should we make decisions?
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3. Our Solution

  • For each α ∈ [α, α], the interval [u, u] is equivalent to

the value u + α · (u − u).

  • This expression is monotonic in α.
  • So, in general, the original interval the interval [u, u] is

equivalent to the following range of possible values [u1, u1] = [u + α · (u − u), u + α · (u − u)].

  • Similarly, the interval [u1, u1] is equivalent to

[u2, u2] = [u1 + α · (u1 − u1), u1 + α · (u1 − u1)].

  • We can repeat this construction again and again:

[uk+1, uk+1] = [uk + α · (uk − uk), uk + α · (uk − uk)].

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4. Our Solution (cont-d)

  • Reminder:

[uk+1, uk+1] = [uk + α · (uk − uk), uk + α · (uk − uk)].

  • At each step, the width of the original intervals de-

creases by the factor α − α: uk+1 − uk = (α − α) · (uk − uk).

  • Thus, by induction, we conclude that:

uk − uk = (α − α)k · (u − u).

  • So,

uk+1 = uk + α · (uk − uk) = uk + α · (α − α)k · (u − u).

  • Hence,

uk = u + α · (u − u) + . . . + α · (u − u) · (α − α)k.

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5. Our Solution (cont-d)

  • Here, uk ≤ uk+1 ≤ uk+1 ≤ uk and uk − uk → 0.
  • Thus, in the limit, the intervals [uk, uk] tend to a single

point u = u+α·(u−u)+α·(u−u)·(α−α)+α·(u−u)·(α−α)2+. . .

  • The corresponding geometric progression adds to

u + α · (u − u) for α = α 1 − (α − α).

  • This is the desired equivalent value of α for the case

when we know α with interval uncertainty.

  • This is how we should make decisions in this case.