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Big Data Analytics and Fuzzy Technology: Extracting Information from Social Data Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Fuzzy Multi-criteria Method to Support Group Decision Making in Human Resource Management

Authors : M. H. Mammadova, Z. G. Jabrayilova

Published in: Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Publisher: Springer International Publishing

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Abstract

The objective of this research is to develop a methodological approach to the making managerial decisions in HRM tasks, which have such specific features as multi-objectivity and heterogeneity of data, the hierarchal, quantitative, and qualitative nature of criteria, their ambiguity, the need for considering the expert evaluation of their weight, and the influence of the experts’ competence on the made decision. To ensure the adaptability of multi-criteria decision-making in HRM a modified TOPSIS method is proposed. Introducing additional components into the decision-making algorithm, this modification excludes the hierarchal structure of criteria and takes into account the competence of experts. The method is tested on the employment case study.

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previous chapter Resource Selection with Soft Set Attribute Reduction Based on Improved Genetic Algorithm
next chapter Fuzzy Management of Imbalance Between Supply and Demand for IT Specialists
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Metadata
Title
Fuzzy Multi-criteria Method to Support Group Decision Making in Human Resource Management
Authors
M. H. Mammadova
Z. G. Jabrayilova
Copyright Year
2018
Book
Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Print ISBN: 978-3-319-75407-9

Electronic ISBN: 978-3-319-75408-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-75408-6_17

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