پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 161 |
| تعداد شمارهها | 6,532 |
| تعداد مقالات | 70,501 |
| تعداد مشاهده مقاله | 124,115,506 |
| تعداد دریافت فایل اصل مقاله | 97,219,660 |
Designing Fuzzy Inference System by Learning from Training Samples to Measure the Participation of Operational Staff in the Health of Workplace | ||
| Journal of Information Technology Management | ||
| مقاله 8، دوره 8، شماره 4، دی 2016، صفحه 791-810 اصل مقاله (405.98 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jitm.2016.59952 | ||
| نویسندگان | ||
| Saeed Malekinejad1؛ Ahmad Tavakoli2؛ Naser Motahari* 2 | ||
| 1MSc. Student, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| 2Assistant Prof., in Management, Faculty of Economic & Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran | ||
| چکیده | ||
| To achieve the highest level of health in organizations, there is a need to create a proper space for active participation of staff. To enable this partnership, organizations need tools to measure participation to determine deviations, in order to revise their programs. This research aimed to design a system for measuring employee participation in workplace health regardless of the estimation of non-linear relationships between the effective variables. For this purpose, we designed a Fuzzy Inference System. Employees' participation scores and predisposing factors involved in health respectively, considered as output and input of the system. Rules have been created by using modified CT08 method based on training samples. In the end, we created 17 rules and the system was tested with 5 prototypes. It should be noted that the accuracy rate was 92.3 percent. The researchers also suggested changes in calculation of accuracy rate which made the rate more realistic. | ||
| کلیدواژهها | ||
| fuzzy inference system؛ operational employee participation؛ participation measurement؛ workplace health | ||
| مراجع | ||
|
Anenson, L. W., Brunt, A., Terbizan, D. J. & Christensen, B. (2013). Participation Rates in a Worksite Wellness Program Using E-Mail Wellness Messages. Journal of Education and Training Studies, 2(1), 44-52.
Ball, T. J. (2009). Selected barriers and incentives to participation in a university wellness program. M.A. Thesis. Utah State University.
Batt, M. E. (2009). Physical activity interventions in the workplace: the rationale and future direction for workplace wellness. British journal of sports medicine, 43(1), 47-48.
Bergström, G., Björklund, C., Fried, I., Lisspers, J., Nathell, L., Hermansson, U. & Jensen, I. B. (2008). A comprehensive workplace intervention and its outcome with regard to lifestyle, health and sick leave: the AHA study. Work, 31(2), 167-180.
Burton, W. N., Pransky, G., Conti, D. J., Chen, C. Y. & Edington, D. W. (2004). The association of medical conditions and presenteeism. Journal of Occupational and Environmental Medicine, 46(6), S38-S45.
Castro, J. L., Castro-Schez, J. J. & Zurita, J. M. (1999). Learning maximal structure rules in fuzzy logic for knowledge acquisition in expert systems. Fuzzy sets and systems, 101(3), 331-342.
Chen, S. M. & Chang, C. H. (2005). A new method to construct membership functions and generate weighted fuzzy rules from training instances. Cybernetics and Systems: An International Journal, 36(4), 397-414.
Chen, S. M. & Fang, Y. D. (2005). A new approach for handling the Iris data classification problem. International journal of applied science and engineering, 3(1), 37-49.
Chen, S. M. & Fang, Y. D. (2005). A new method to deal with fuzzy classification problems by tuning membership functions for fuzzy classification systems. Journal of the Chinese Institute of Engineers, 28(1), 169-173.
Chen, S.M. & Tsai, F.M. (2005). A new method to construct membership functions and generate fuzzy rules from training instances. International Journal of Information and Management Sciences, 16(2), 47-72.
Chen, S.M. & Tsai, F.M. (2008). Generating fuzzy rules from instances for fuzzy classification systems. Expert Systems with Applications, 35(3), 611-621.
Collins, J. J., Baase, C. M., Sharda, C. E., Ozminkowski, R. J., Nicholson, S., Billotti, G. M.,... & Berger, M. L. (2005). The assessment of chronic health conditions on work performance, absence, and total economic impact for employers. Journal of Occupational and Environmental Medicine, 47(6), 547-557.
Ghaffarzadeh, H. (2010). Classification ofsubmarinesusingfuzzy systems. Arak: Faculty of of Engineering and Technology. (in Persian)
Gollan, P. J., Budd, J. W. & Wilkinson, A. (2010). New approaches to employee voice and participation in organisations. Human Relations, 63(3), 303-310.
Hong, T. P. & Chen, J. B. (1999). Finding relevant attributes and membership functions. Fuzzy Sets and Systems, 103(3), 389-404.
Hong, T. P. & Lee, C. Y. (1996). Induction of fuzzy rules and membership functions from training examples. Fuzzy sets and Systems, 84(1), 33-47.
Kadkhodaee, S. (2014). Identify and rank the barriers to participation in health promotion and workplace safety using a multi-criteria approach. M.A. Thesis. Shahed University of Tehran. (in Persian)
Karami, M. (2007). Occupational Health and Safety from theory to practice. Sabzevar: Press the Omid E Mehr. (in Persian)
Kermani, D. & Montajabi, A. (2009). The impact of safety team on the reduction of occupational injuries. Tadbir, 20(204), 63-66. (in Persian)
Law, I., & Widdows, H. (2008). Conceptualising health: Insights from the capability approach. Health Care Analysis, 16(4), 303-314.
Loeppke, R., Nicholson, S., Taitel, M., Sweeney, M., Haufle, V., & Kessler, R. C. (2008). The impact of an integrated population health enhancement and disease management program on employee health risk, health conditions, and productivity. Population Health Management, 11(6), 287-296.
Loeppke, R., Taitel, M., Richling, D., Parry, T., Kessler, R. C., Hymel, P. & Konicki, D. (2007). Health and productivity as a business strategy. Journal of Occupational and Environmental Medicine, 49(7), 712-721.
Motahhari, Farimani, N., Momeni, M. & Yazdani, H.R. (2014). Production fuzzy rules of educational samples for fuzzy classification systems. Journal Vision of Industrial Management, 3(11), 164-188. (in Persian)
Nöhammer, E., Stummer, H. & Schusterschitz, C. (2014). Employee perceived barriers to participation in worksite health promotion. Journal of Public Health, 22(1), 23-31.
Person, A. L., Colby, S. E., Bulova, J. A. & Eubanks, J. W. (2010). Barriers to participation in a worksite wellness program. Nutrition research and practice, 4(2), 149-154.
Rasooli, H. & Manian, A. (2012). designing a Fuzzy Inference System for the selection of E -banking services:Case Study of Bank Sepah. Journal ofInformation Technology and Management, 4(12), 41-64. (in Persian)
Saatchi, M. (1999). productivity Psychology, (2nd ed), Tehran. (In Persian)
Shamian, J. & El-Jardali, F. (2007). Healthy workplaces for health workers in Canada: knowledge transfer and uptake in policy and practice. Healthcare Papers, 7(Sp). Available in: www.ncbi.nlm.nih.gov/pubmed/17478996.
Sohrabi, B., Zanjani, M., Farzaneh, M. & Vanani, I. (2012). Providing a system to evaluate the rate success of implementation system of enterprise resource planning based on fuzzy inference approach. Journal ofManagementresearchin Iran, 16(3), 105-130.(in Persian)
Tahvildari, S., Mofidi, A. & Meshkani, M. (2010). The role of the network model (B.N) in the promotion of workplace health and safety. Quarterlyhealthy work, 2(7), 57-60. (in Persian)
Taylor-Robinson, D. C., Lloyd-Williams, F., Orton, L., Moonan, M., O'Flaherty, M., & Capewell, S. (2012). Barriers to partnership working in public health: a qualitative study. PLOS one, 7(1), e29536.
Toosi, M. (2001). Participation andparticipantmanagement. (2nd ed), Tehran: Industrial Management Institute. (in Persian) | ||
|
آمار تعداد مشاهده مقاله: 1,486 تعداد دریافت فایل اصل مقاله: 1,048 |
||