EMPIRICAL MODEL FOR LEADERSHIP ASSESSMENT UTILIZING CLUSTERING EMBEDDED IN SOFT-COMPUTING APPROACH

Leadership is an important facet of any well-developed organization. The success of any organization depends largely on the ability of the leader to coordinate and reorganize the input of each employee in order to obtain the desired result. In order for these to be done successfully, certain qualities (criteria) are essential which an individual must possess. These qualities includes; trustworthiness, assertiveness, dedication etc. This paper focuses on utilizing Clustering Embedded in Soft-Computing Approach for the recognition of these criteria due to their vagueness (impreciseness). These qualities are subdivided into clusters or classes, based on the presence of such qualities an individual identified.