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Management Accounting · Decision Theory

Decision Making under Uncertainty: Maximax, Maximin, Regret, Hurwicz, Laplace

Updated 10 October 2026 · Fact-checked

Decision making under uncertainty means choosing between actions when you know the possible outcomes but not their probabilities. You build a payoff table and apply a criterion: maximax (best of best), maximin (best of worst), minimax regret, Hurwicz (weighted by optimism) or Laplace (equal-chance average). Each criterion can pick a different action.

Understand Decision Making under Uncertainty

In decision theory you choose one act (also called action or strategy) from several. The result depends on a state of nature, which is something outside your control, such as high, medium or low demand. Each act and state pair gives a payoff, usually profit. All payoffs go into a payoff table.

The problem is uncertainty when you know the states and payoffs but have no probabilities for the states. If probabilities are given, it becomes a risk problem and you use expected values. Here you cannot do that, so you use a rule that reflects your attitude to risk.

There are five criteria. Maximax suits an optimist: find the best payoff of each act, then pick the act with the largest of these. Maximin suits a pessimist: find the worst payoff of each act, then pick the largest of these. Laplace treats all states as equally likely, finds the average payoff of each act and picks the highest.

Minimax regret (Savage) works on regret, also called opportunity loss. For each state, regret is the best payoff in that state minus the payoff of the act. You find the maximum regret of each act and choose the act with the smallest maximum regret. Hurwicz mixes the optimist and the pessimist. You choose a coefficient of optimism α between 0 and 1, then weigh the best payoff by α and the worst by (1 − α).

The criteria may give different answers. That is normal. The exam asks you to apply each one correctly and state the decision. If the payoffs are costs rather than profits, the logic reverses: best means lowest.

Key rules to remember

Maximax
Choose the act with the maximum of [maximum payoff of each act]
Optimistic. For costs, use minimin (lowest of the lowest costs).
Maximin
Choose the act with the maximum of [minimum payoff of each act]
Pessimistic. For costs, use minimax (lowest of the highest costs).
Regret (opportunity loss)
Regret = Best payoff in that state − Payoff of the act in that state
Calculate column by column (state by state). The best act in each state has regret 0. For costs, regret = the act's cost − the lowest cost in that state.
Minimax regret
Choose the act with the minimum of [maximum regret of each act]
Uses the regret table, not the payoff table.
Hurwicz criterion
Hurwicz value = α × Maximum payoff + (1 − α) × Minimum payoff
α is the coefficient of optimism, 0 ≤ α ≤ 1. Choose the act with the highest value. α = 1 gives maximax, α = 0 gives maximin.
Laplace criterion
Laplace value = Sum of payoffs of the act ÷ Number of states
Equal probability for each state. Choose the highest value.

How to solve Decision Making under Uncertainty questions

Use this method for any question on decisions under uncertainty. Check first whether the figures are profits or costs.

  1. 1Draw the payoff table with acts as rows and states as columns. Note whether payoffs are profit or cost.
  2. 2If payoffs are not given, compute them first from the data, for example contribution less fixed costs, or revenue less cost.
  3. 3Write the row maximum and row minimum next to each act.
  4. 4Apply maximax and maximin using these row figures and name the chosen act for each.
  5. 5Build the regret table: find the best payoff in each column, then subtract each entry from it (reverse for costs). Take the row maximum regret and choose the smallest.
  6. 6For Hurwicz, calculate α × max + (1 − α) × min for each act. For Laplace, calculate the row total divided by the number of states.
  7. 7State the final decision under each criterion in a sentence, with its value.
  8. 8 Add one line of comment on the attitude to risk each criterion reflects.

Quickest way: Row-and-column scan

When to use it: Use it in the 2-mark MCQ or when the written question has many criteria and little time.

  1. Write row max, row min and row total beside the table in one pass.
  2. Read maximax, maximin and Laplace directly from those three columns.
  3. Mark the best figure in each column with a tick; subtract down each column for the regret table.
  4. Take the largest regret in each row and choose the smallest.
  5. For Hurwicz, calculate only for acts that could win; always check the max and min first, then compute for all if the table is small.

Common mistakes in Decision Making under Uncertainty

  • Choosing the act with the highest minimum under minimax regret, or confusing maximin with minimax regret.

    Both names contain 'min' and 'max' and both are cautious.

    Fix: Maximin works on payoffs: best of the worst payoffs. Minimax regret works on the regret table: smallest of the largest regrets.

  • Calculating regret across a row instead of down a column.

    Students subtract from the best payoff of the act rather than of the state.

    Fix: Regret belongs to a state. Find the best payoff in each column and subtract each entry from it.

  • Reporting the regret value as the answer to maximin or maximax, or reporting the wrong unit.

    The tables sit side by side and the numbers get mixed.

    Fix: Label each table. Name the act and quote its payoff or regret under each criterion.

  • Using α the wrong way round in Hurwicz.

    Students attach α to the minimum.

    Fix: α always weighs the maximum (optimism) and (1 − α) weighs the minimum.

  • Applying profit rules to a cost table.

    The rules are memorised as 'highest' without checking the data.

    Fix: With costs, the best is the lowest. Maximin becomes minimax cost and regret is the cost minus the column's lowest cost.

  • Using probabilities or expected values in Laplace and calling it a risk problem.

    Laplace gives an average, which looks like EMV.

    Fix: Laplace is an equal-probability assumption used only when no probabilities are given. Use EMV when probabilities are stated.

Worked examples

Example 1

Sundaram Traders can stock Product A, B or C. Profit (₹ thousand) depends on demand:
A: Low 20, Medium 50, High 80
B: Low 30, Medium 45, High 60
C: Low 10, Medium 40, High 100
Probabilities are unknown. Find the choice under maximax, maximin, minimax regret and Laplace.

Show the solution
  1. Row max and min: A 80 and 20; B 60 and 30; C 100 and 10.
  2. Maximax: the largest of 80, 60, 100 is 100, so choose C.
  3. Maximin: the largest of 20, 30, 10 is 30, so choose B.
  4. Best payoff per state: Low 30, Medium 50, High 100.
  5. Regret table: A: 10, 0, 20. B: 0, 5, 40. C: 20, 10, 0.
  6. Maximum regret: A 20, B 40, C 20. The smallest is 20, a tie between A and C.
  7. Laplace totals: A 150, B 135, C 150. Averages: A 50, B 45, C 50. A and C tie at 50.
  8. To state a single decision, choose A or C and say so; the criteria tie.

Answer: Maximax: C (₹1,00,000). Maximin: B (₹30,000). Minimax regret: A or C (maximum regret ₹20,000, tie). Laplace: A or C (average ₹50,000, tie).

Example 2

A firm has three projects with profit (₹ lakh) under three market conditions:
P: Poor 5, Fair 20, Good 30
Q: Poor 10, Fair 15, Good 25
R: Poor −5, Fair 18, Good 40
Using Hurwicz with α = 0.6, find the best project. Also find the Laplace choice.

Show the solution
  1. Hurwicz for P: 0.6 × 30 + 0.4 × 5 = 18 + 2 = 20.
  2. Hurwicz for Q: 0.6 × 25 + 0.4 × 10 = 15 + 4 = 19.
  3. Hurwicz for R: 0.6 × 40 + 0.4 × (−5) = 24 − 2 = 22.
  4. The highest is 22, so choose R.
  5. Laplace totals: P 55, Q 50, R 53.
  6. Averages: P 18.33, Q 16.67, R 17.67.
  7. The highest average is P.

Answer: Hurwicz (α = 0.6): choose R with value ₹22 lakh. Laplace: choose P with average ₹18.33 lakh.

Exam tips

  • Read the question for the wording of each criterion. Also check whether the payoff is profit or cost before you start.
  • Show the regret table in full. Step marks usually go for the table and the maximum-regret column.
  • Always state the decision in words, for example 'Choose C under maximax', with its value.
  • Do the MCQ checks fast: for Hurwicz, test α = 1 (maximax) and α = 0 (maximin) to catch a reversed α.
  • If asked to comment, link each criterion to an attitude: optimist, pessimist, regret-averse, or equal-chance.

Practice questions from Decision Theory

Decision Making under Uncertainty in other exams

The same ground in other exams, if you are preparing for more than one or want another angle on it.

Decision Making under Uncertainty: frequently asked questions

What is the difference between maximin and minimax regret?

Maximin looks at payoffs and picks the act whose worst payoff is highest. Minimax regret first converts payoffs into regrets (opportunity losses) and picks the act whose largest regret is smallest. They can recommend different acts.

How do you prepare a regret table?

For each state (column), find the best payoff. Subtract each act's payoff in that column from the best payoff. The best act in each column gets 0. For cost data, subtract the lowest cost from each cost.

What does the coefficient of optimism mean in Hurwicz?

It is α, a number from 0 to 1 showing how optimistic the decision maker is. It weighs the best payoff, and (1 − α) weighs the worst payoff. At α = 1 the criterion equals maximax, and at α = 0 it equals maximin.

When is the Laplace criterion used?

Use it when probabilities are unknown and you have no reason to favour one state over another. You treat all states as equally likely and choose the act with the highest average payoff.