Finding better alternatives than those considered in a multiple criteria data sample

Ankur Sinha, Pekka Korhonen, Jyrki Wallenius*

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

Abstrakti

This paper suggests a preference-based method to calculate the probability of finding a better alternative than the ones present in the original data sample. Such a procedure would be useful, for example, while selecting among job applicants, where each individual is evaluated in terms of multiple criteria. Once the evaluation of individuals is done, the efficient (non-dominated) individuals from the sample are identified and the most preferred candidate is chosen. However, it is often useful to assess the probability of finding even better candidates, were more applications invited. In this paper, we suggest a generic method to ascertain this probability, which can be used as a criterion to terminate the search for the most preferred alternative. This is achieved by estimating the value function of the decision maker in terms of different criteria. If a linear value function cannot be fitted, we suggest a novel approach to test more general functions in a stepwise manner.

AlkuperäiskieliEnglanti
Sivut35-54
Sivumäärä20
JulkaisuZfB Zeitschrift für Betriebswirtschaft
Vuosikerta86
Numero1-2
DOI - pysyväislinkit
TilaJulkaistu - 1 tammik. 2016
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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