An endogenous human resources selection model based on linguistic assessments

Title:

An endogenous human resources selection model based on linguistic assessments

Creator:

de Andrés, Rocío and García-Lapresta, José Luis

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:9f735ffd-cbb4-4e8f-a970-48b8e7e46e03
uuid:9f735ffd-cbb4-4e8f-a970-48b8e7e46e03

Subject:

Management endogenous personnel selection, multi-criteria decision making, and aggregation operators

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

This paper proposes an endogenous human resources selection process by using linguistic information from a competency management perspective. We consider different sets of appraisers taking part in the evaluation process, having a different knowledge about the candidates that are being evaluated. Then, appraisers can express their assessments in different linguistic domains according to their knowledge. The proposed method converts each linguistic label into a fuzzy set on a common domain. Candidates are ranked by using different aggregation operators in order to allow the management team to make a final decision.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2010 Volume:20 | Number:1

Harvested from:

CDK

Metadata only:

false