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Wage increment problems and fuzzy inference approach

Oderanti, F.O., De Wilde, Philippe (2011) Wage increment problems and fuzzy inference approach. In: 2011 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2011). . IEEE ISBN 978-1-4799-1692-4. E-ISBN 978-1-61284-967-6. (doi:10.1109/NAFIPS.2011.5751913) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:58019)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1109/NAFIPS.2011.5751913

Abstract

We propose a flexible scheme for employers and employees which they can use as a decision support system in their future salary negotiations. This scheme uses a fuzzy inference system for arriving at more mutually agreeable decisions on wage negotiation. For example, rather than specifying 5 yearly increase of wages, we propose that the wage increase formula needs to take into consideration other factors which are mostly difficult to predict with certainty. These include inflation rate, business revenues or (profit), cost of production, number of competitors and other uncertain factors that may affect business operations. The accuracy of the fuzzy rule base will help to mitigate the adverse effects that a business may suffer from these uncertain factors. Based on our scheme, we propose that employers and employees should calculate their future wage by using a fuzzy rule base that takes into consideration those variables which are mostly uncertain and that could affect their decisions.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/NAFIPS.2011.5751913
Uncontrolled keywords: Business games; decision; employees; employers; salary, Artificial intelligence; Data processing; Decision support systems; Fuzzy inference; Fuzzy logic; Fuzzy rules; Fuzzy systems; Industrial relations; Membership functions; Profitability, Wages
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Philippe De Wilde
Date Deposited: 03 Jan 2023 15:39 UTC
Last Modified: 05 Nov 2024 10:49 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58019 (The current URI for this page, for reference purposes)

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