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Wage increment problems and fuzzy inference approach

机译:工资增长问题和模糊推理方法

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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.
机译:我们为雇主和雇员提出了一个灵活的计划,他们可以在未来的薪资谈判中将其用作决策支持系统。该方案使用模糊推理系统来达成有关工资协商的更加一致的决定。例如,我们建议不是将工资的年增长率指定为5%,而是建议工资增长公式应考虑其他大多数难以确定的因素。这些因素包括通货膨胀率,企业收入或(利润),生产成本,竞争者数量以及其他可能影响企业运营的不确定因素。模糊规则库的准确性将有助于减轻企业可能因这些不确定因素而遭受的不利影响。根据我们的方案,我们建议雇主和雇员应使用模糊规则库来计算其未来工资,该规则库应考虑那些大多不确定且可能影响其决策的变量。

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