an application of neural-fuzzy analysis in recognition of behavioral models

In the current ever-changing business world, organisations need to emphasize on employees as key element of acquiring competitive advantage. As managerial view, job Burnout should be considered and improved because of their broad effects on human resource as intellectual capital which knowledge life cycle is fully depended of it.This problem may have crucial position among service organisations. The service organisations emphasize on human resource and their roles as their core competencies more than other forms of organisation. In this form of organisation human resources in stability of service providing and continuous improvement of it have crucial role and position. This kind of organisations is facing with two important aspects of social dynamics:first, the uncertain environment which may be influence on predictability of employee behaviors and second, complexity of human behaviors which are ill-defined.In this context, authors investigated the effects of organisational factors on Job Burnout. Thee Factors are arisen from nature of service organisations and environmental pressures which surrounded them. The contribution of this paper is the application of neural-fuzzy analysis on construct of appraisement model in better explaining of employee\u27s behavior. It considers the contingency recommendation which can be led to a better strategic planning of organisation\u27s Intellectual capital and can be applied to other contexts and would guide organisations to realistic appraisement of demographic factors. Authors have applied the proposed fuzzy-model in "Agricultural Jahad" organisation of Qazvin province and results are discussed