developing an effective mathematical model for leadership style selection by using fuzzy logic

abstract. different groups of employees are managed differently and may require different leadership styles based on human resource characteristics, including uniqueness and strategic value of human capital. choosing concurrent leadership styles is one of the most important phases of the strategic human resource management (shrm), which attracts increasing attentions of many researchers. literature review reveals that there are four leadership styles consisting of transformational, empowering, directive and transactional. in this paper, an effective mathematic model to determine the appropriate leadership styles for organizations according to human resource characteristics. this model is based on a fuzzy logic with data from research institute petroleum industry (ripi) hr characteristics to show how it can be employed in reality.