Wage increment problems and fuzzy inference approach

Festus Oluseyi Oderanti, Philippe De Wilde

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

3 Citations (Scopus)


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. © 2011 IEEE.

Original languageEnglish
Title of host publication2011 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'2011
Publication statusPublished - 2011
Event2011 Annual Meeting of the North American Fuzzy Information Processing Society - El Paso, TX, United States
Duration: 18 Mar 201120 Mar 2011


Conference2011 Annual Meeting of the North American Fuzzy Information Processing Society
Abbreviated title NAFIPS'2011
Country/TerritoryUnited States
CityEl Paso, TX


  • business games
  • decision
  • employees
  • employers
  • fuzzy logic
  • membership functions
  • salary
  • wage bargaining
  • wage negotiation


Dive into the research topics of 'Wage increment problems and fuzzy inference approach'. Together they form a unique fingerprint.

Cite this