Designing -the hierarchical fuzzy expert system in order to human risk assessment with emphasis on improve productivity
Subject Areas :
zahra
sofi
1
(PHD Student, Department of Management qazvin Branch, Islamic Azad University, qazvin , Iran)
Mohammad
Attai
2
(Assistant Professor, Department of Management qazvin Branch, Islamic Azad University, qazvin , Iran)
Seyyed Mahdi
Alvani
3
(استاد دانشکده مدیریت و حسابداری، دانشگاه آزاد اسلامی قزوین، ایران)
Keyvan
Shahgoliyan
4
(Professor, Department of Management qazvin Branch, Islamic Azad University, qazvin , Iran)
Keywords: Human resource risk, productivity, Hierarchical fuzzy expert system,
Abstract :
According to the importance of human productivity for government organizations and the important role of human risk on productivity, this research aims to design a mathematical model in the field of human risk assessment by emphasis on improve productivity. For this purpose we have used the mixed approach. In the qualitative part the open innovation researchers were interviwed. . Qualitative data were analyzed by theme analyze.The results of this part led to identifying dimentions, components, and indicators of human risks and the designing of qualitative model. Then according to the theme analyze, quantitative questionnaire were developed. Quantitative data were prepared and distributed to 353 employees of west and east Azarbayjans Tax and Finance office. The analyze of quantitative data and the quantitative model was developed by hierarchical fuzzy expert system. The results show that dimentions and components of human risk has negative effects on human productivity and can weak the organization. . So recognizing types of human risk and finding the ways of decreasing them can improve human productivity and action of organizations.
