Description Usage Arguments Value Author(s) References Examples

After constructing a list of matrices with *ε_{ij} = a_{ij}w_{j}/w_{i}* (following `ahp.error`

), this algorithm extracts the top `n`

numbers of pairwise comparison matrices with the highest *ε_{ij}* for each decision-maker.

1 | ```
ahp.pwerror(ahpmat, atts, npw = 3)
``` |

`ahpmat` |
A list of pairwise comparison matrices of each decision maker generated by |

`atts` |
a list of attributes in the correct order |

`npw` |
Number of pairwise comparisons |

A list of matrices containing *ε_{ij} = a_{ij}w_{j}/w_{i}* for each decision-maker, with elements from the lower triangle set as NA automatically (since it is essentially equal to the element in the upper triangle).

Frankie Cho

Saaty2004ahpsurvey

1 2 3 4 5 6 7 8 |

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