University of Hertfordshire

By the same authors

Wage increment problems and fuzzy inference approach

Research output: Chapter in Book/Report/Conference proceedingConference contribution

View graph of relations
Original languageEnglish
Title of host publicationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
DOIs
Publication statusPublished - 2011
Event2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011 - El Paso, TX, United States
Duration: 18 Mar 201120 Mar 2011

Conference

Conference2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011
CountryUnited States
CityEl Paso, TX
Period18/03/1120/03/11

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.

Notes

Festus Oluseyi Oderanti and Philippe De Wilde, 'Wage increment problems and fuzzy inference approach' paper presented at the Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS'2011. El Paso, Texas, USA. 18-20 March 2011

ID: 10585102