rorutadis (version 0.4.2)

findSolutionWithIncomplete: Find single value function from incomplete preference information

Description

This function finds a single value function from incomplete preference information for a problem.

Usage

findSolutionWithIncomplete(problem, stochasticResults, method, reg = 1e-20, accuracy = 1e-10)

Arguments

problem

Problem to investigate.

stochasticResults

Stochastic results (see calculateStochasticResults).

method

cai-product, apoi-product, or combined-product.

reg

Reg

accuracy

Accuracy

Value

List with named elements:

• vf - list of 2-column matrices with marginal value functions (characteristic point in rows),
• thresholds,
• assignments,
• alternativeValues,
• epsilon.

See Also

calculateStochasticResults findRepresentativeFunction plotComprehensiveValue findSimpleFunction

Examples

perf <- matrix(c(5, 2, 1, 7, 0.5, 0.9, 0.4, 0.4), ncol = 2)
problem <- buildProblem(perf, 3, FALSE, c('g', 'g'), c(0, 0))
problem <- addAssignmentsLB(problem, c(1, 2), c(2, 3))

stochasticResults <- calculateStochasticResults(problem, 100)
representativeFunction <- findSolutionWithIncomplete(problem, stochasticResults, "cai-product")
assignments <- representativeFunction$assignments