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Improving validation and verification (vv) has been one of the most important tasks of the century. However, we have few measures or management interventions to make such improvement possible, and it is difficult to identify patterns that should be followed by developers because systems and processes in an organization are often regarded as a death blow to creativity. To improve vv, it first must be measured, and then its future should be defined. In this paper, we seek to present a hybrid method for Model Validation and Verification of Data Mining from the Knowledge Workers Productivity Approach. It is hoped that this paper will help managers to implement different corresponding measures. A case study is presented where this model measure and validates at the Alupan company. [ABSTRACT FROM AUTHOR]

It is commonly recognized that knowledge is the only source of core competence in the knowledge based companies, but the productivity rate of Knowledge Workers is always Low. Based on Knowledge Workers' characteristics, in this paper, we seek to identify factors influencing the Productivity of Knowledge Workers, and then strategies present for improvement of theirs Productivity. Finally, the best strategy selects using the Fuzzy Analytical Network Process (FANP) approach. It is hoped that this paper will help managers to implement different corresponding measures. Three case studies are presented where this model measure and validates at the Alupan & Mobarakeh Steel and irancell companies. [ABSTRACT FROM AUTHOR]