ارائه مدل درخت ارزیابی فازی برای بررسی سیستم های ارزیابی عملکرد کارکنان و انتخاب سیستم ارزیابی مناسب برای واحدهای دانشگاه آزاد اسلامی آذربایجان شرقی
محورهای موضوعی : مدیریت بازرگانی
سلیمان ایرانزاده
1
,
داود باقری
2
,
اصغر آذرکسب
3
1 - دانشیارگروه مدیریت صنعتی، واحد تبریز، دانشگاه آزاد اسلامی،تبریز،ایران
2 - کارشناسی ارشد مدیریت صنعتی،واحد تبریز، دانشگاه آزاد اسلامی، تبریز،ایران
3 - کارشناسی ارشد مدیریت صنعتی،واحد تبریز، دانشگاه آزاد اسلامی، تبریز ،ایران
کلید واژه: ارزیابی عملکرد, آنتروپی, الگوریتم, درخت تصمیم, پایگاه دانش,
چکیده مقاله :
در عصر پیشرفت های مداوم، دوران ارزش افزوده، عصر انجام فعالیت های زیاد با امکانات محدود و بالاخره دوران ارتقاء بهره وری، وجود یک نظام ارزیابی عملکرد نامناسب می تواند نارسایی مهمی محسوب شود. در این مقاله سعی شده است برای جلوگیری از تبعات ناشی از نظام ارزیابی نامطلوب در دانشگاه آزاد اسلامی استان آذربایجان شرقی، مدل درخت فازی را جهت بررسی روش های ارزیابی عملکرد کارکنان ارائه دهیم و بر اساس این مدل روش ارزیابی عملکرد مناسب برای هر یک از واحدها را انتخاب نمائیم. برای این کار ابتدا عوامل موثر در تعیین روش ارزیابی عملکرد را مشخص کردیم و با استفاده از این عوامل به بررسی روش های ارزیابی عملکرد کارکنان پرداختیم. در این رابطه از نظرات اساتید و خبرگان منابع انسانی استفاده کرده و با استفاده از دانش اخذ شده از خبرگان منابع انسانی، پایگاه دانش ایجاد شده و با استفاده از پایگاه دانش و الگوریتم و مجموعه های فازی، مدل درخت فازی ارائه گردیده است. سپس با توزیع پرسش نامه مقادیر هر یک از متغییرهای مورد بررسی (عوامل موثر در تعیین روش ارزیابی عملکرد) برای هر یک از واحدهای مورد مطالعه تعیین شده و در نهایت با استفاده از این مقادیر کسب شده اولویت روش های ارزیابی عملکرد برای هر یک از واحدها مشخص شده است. در مرحله بعد با استفاده از تصمیم گیری چند معیاره فازی اولویت انتخاب روش های ارزیابی برای هر یک از واحدها را بر اساس ارزش تصمیم (مقدار تامین اهداف) آنها مشخص گردیده است.
At the age of continuous advances, the times of value added, the age of numerous activities with limited facilities, and finally, the times of productivity enhancement, an improper system of performance appraisal could be an important deficiency. In this article, in order to prevent the cosequences of the unfavorable appraisal system in East Azerbaijan Branches of Islamic Azad University, we have tried to present a model of fuzzy tree to investigate the methods of the performance appraisal of the employees and to select, on the basis of this model, the right performance appraisal method for each branch. To do this, first the researchers recognized the effective factors in identifying the method of the performance appraisal, and then, by using these factors, the performance appraisal methods of employees was investigated. In this regard, the viewpoints of professors and the experts of human resources management have been used. By using the knowledge obtained from the experts of human resources management, a knowledge base was created, and through the use of the knowledge base and algorithm and fuzzy sets, the model of fuzzy tree was offered. Then by distributing the questionnaire, the values of each variable (the effective factors in identifying the performance appraisal method) for each branch were identified. Ultimately, by using these obtained values, the priority of the methods of performance appraisal for each branch were specified. Later, by applying the fuzzy multi-criterion decision making, the researchers identified the priority of selecting the appraisal methods for each of these branches on the basis of decision value.
Abtahi, H. (2002). Human Resource Management. Tehran: Management Research and Management Institute, (In Persian).
Almasi, H. (1995). A New Attitude in HRM from Performance Evaluation to Performance Management. Tadbir Magazine, 56, (In Persian).
Alwani, S. M. (2005). Public Administration. Tehran: Ney Publication, (In Persian).
Armstrong, M. (2002). Strategic Human Resource Management. Translated by: S. Mohammad Arabi & D. Izadi, Tehran: Publications Office of Cultural Research, (In Persian).
Azar, A., & Fazli, S. (2004). Designing a Model for Performance Evaluation by Using the Data Envelopment Analysis Approach. First International Management Conference, (In Persian).
Azar, A. (2002). Phase Management Science, Center for Management Studies and Productivity of Iran, (In Persian).
Bazzaz Jazayeri, S. A. (2003). Performance Management with Emphasis on Performance Evaluation of Employees. First International Management Conference, (In Persian).
Bazzaz Jazayeri, S. A. (2008). Evaluation of Performance in Organizations. Tehran: Ney Publication, (In Persian).
Beldwin,j.f, dong(walter)xie.,(2006), simple fuzzy logic rules based on fuzzy decision tree for classification and predication problem, department of engineering mathematics, faculty engineering, university.
Bojadezif, G. (2005). Fuzzy logic and its Applications in Management. Translated bt: S. M. R. Hosseini, Ishligh Publishing, (In Persian).
Camp, D. (2000). Fan Evaluation of Employees in a Week. Translated: E. Moghajerin, Yazawi Publishing, (In Persian).
Dervish, M., & Fotore Chi, M. (2004). Reforms to Improve Performance, the Organization of Administrative Affairs and Employment of the Country, (In Persian).
Dulan, Shimon, L., & Randall, Sh. (1999). Personnel and Human Resources Management. Translated by: T. Sabi, Government Education Center, (In Persian).
Fotore Chi, M. (2007). A Collection of Discussions about Employee Evaluation, Management and Planning Organization Publication, (In Persian).
Goodarzi, A., & Farahani, M. (2003). Performance Evaluation. Tadbir Journal, 142, (In Persian).
Haghighi, M. A., & Ranaee, H. (2007). Human Resource Efficiency, Staff Performance Evaluation. Tehran: Termeh Publishing, (In Persian).
Hunt. John. (2005), decision trees for decision support- systems, http://www. Jaydeetechnology, co.ir.
Hajilzham, hajizainal Abidin, The fuzzy decision tree application to a power systeme problem, power systems research group, university of strthclyde, uk, www. Emeraldinsight. Com
Herrera,m, Sepulveda, c.A, pavez-lezo, b., rt all,(2003), economic dispatch using fuzzy decision tree, electric power systems research, 66: 115-122.
Kazemi, B. (2006). Personnel Management, Governmental Education Management Center, (In Persian).
Machacha, L.L., Bhattacharya, P., (2000), A fuzzy logic-based approach to project selection. IEEE Transactions on Engineering Management 47 (1), 65–73.
Moghimi, S. M. (2003). Organization and Management with a Research Approach. Tehran: Termeh Magazine, (In Persian).
Oraee Yazdani, B. (2006). A Critical Review of the Performance Appraisal and How it is Applied in Organizations with the Help of some Organizations in Iran. Editorial Board, 3, (In Persian).
Rajabi, A. (2005). Measurement and Evaluation of Human Resources Operations Using Fuzzy Logic Method. Fourth International Management Conference, (In Persian).
Roberts S. Kaplan & David P. Norton, (1996), using the Balanced scorecard as a strategic management system, Harvard Business Review Reprint / 107.
Saatchi, M. (1976). Productivity Psychology. Virayesh Publishing, (In Persian).
Singer, M.,( 2000), Human Resource Management, PWS-Kent Co.
Stone Raymond, J.(2005), Human Resource Management.
Internet: Performance Appraisal Guideline, Published by Office of Human Resources , February ,2002.
Burrough, P. A. (1989), Fuzzy mathematical methods for soil survey and land evaluation, J. soil sci. 40: 477- 492
Burrough, P. A., R.A. Macmillan W. Van Deursen, (1992), Fuzzy classification methods for determinig land suitability from profile observation and topography, J. Soil Sci,193-210
Carlson, W. L., B. Thorne., (2005), Applied statistical methods, Prentice-Hall Inc., 1021P. 42-Jung, J. R., Sun, C., Mizutani, E,.(2002), Neruro-fuzzy and soft computing, Printice-Hall
Kerre, E,. (2004), Introduction to the basic principles of fuzzy set theory and some of its applications, Communication and cognition, Blandijnberg 2, 900 Gent, Belgium
E.utgoff, paull, Berkman, Neil, A. clouse, Jeffery, decision tree Iuduction based on efficient tree restructuring.
Yuan& Shaw. (1995), Iducation of fuzzy decision tree, fuzzy stes and systems.
Zahedi, M. (1999). Theory of Fuzzy Collections and Its Uses. Ketab Publishing, (In Persian).
_||_Abtahi, H. (2002). Human Resource Management. Tehran: Management Research and Management Institute, (In Persian).
Almasi, H. (1995). A New Attitude in HRM from Performance Evaluation to Performance Management. Tadbir Magazine, 56, (In Persian).
Alwani, S. M. (2005). Public Administration. Tehran: Ney Publication, (In Persian).
Armstrong, M. (2002). Strategic Human Resource Management. Translated by: S. Mohammad Arabi & D. Izadi, Tehran: Publications Office of Cultural Research, (In Persian).
Azar, A., & Fazli, S. (2004). Designing a Model for Performance Evaluation by Using the Data Envelopment Analysis Approach. First International Management Conference, (In Persian).
Azar, A. (2002). Phase Management Science, Center for Management Studies and Productivity of Iran, (In Persian).
Bazzaz Jazayeri, S. A. (2003). Performance Management with Emphasis on Performance Evaluation of Employees. First International Management Conference, (In Persian).
Bazzaz Jazayeri, S. A. (2008). Evaluation of Performance in Organizations. Tehran: Ney Publication, (In Persian).
Beldwin,j.f, dong(walter)xie.,(2006), simple fuzzy logic rules based on fuzzy decision tree for classification and predication problem, department of engineering mathematics, faculty engineering, university.
Bojadezif, G. (2005). Fuzzy logic and its Applications in Management. Translated bt: S. M. R. Hosseini, Ishligh Publishing, (In Persian).
Camp, D. (2000). Fan Evaluation of Employees in a Week. Translated: E. Moghajerin, Yazawi Publishing, (In Persian).
Dervish, M., & Fotore Chi, M. (2004). Reforms to Improve Performance, the Organization of Administrative Affairs and Employment of the Country, (In Persian).
Dulan, Shimon, L., & Randall, Sh. (1999). Personnel and Human Resources Management. Translated by: T. Sabi, Government Education Center, (In Persian).
Fotore Chi, M. (2007). A Collection of Discussions about Employee Evaluation, Management and Planning Organization Publication, (In Persian).
Goodarzi, A., & Farahani, M. (2003). Performance Evaluation. Tadbir Journal, 142, (In Persian).
Haghighi, M. A., & Ranaee, H. (2007). Human Resource Efficiency, Staff Performance Evaluation. Tehran: Termeh Publishing, (In Persian).
Hunt. John. (2005), decision trees for decision support- systems, http://www. Jaydeetechnology, co.ir.
Hajilzham, hajizainal Abidin, The fuzzy decision tree application to a power systeme problem, power systems research group, university of strthclyde, uk, www. Emeraldinsight. Com
Herrera,m, Sepulveda, c.A, pavez-lezo, b., rt all,(2003), economic dispatch using fuzzy decision tree, electric power systems research, 66: 115-122.
Kazemi, B. (2006). Personnel Management, Governmental Education Management Center, (In Persian).
Machacha, L.L., Bhattacharya, P., (2000), A fuzzy logic-based approach to project selection. IEEE Transactions on Engineering Management 47 (1), 65–73.
Moghimi, S. M. (2003). Organization and Management with a Research Approach. Tehran: Termeh Magazine, (In Persian).
Oraee Yazdani, B. (2006). A Critical Review of the Performance Appraisal and How it is Applied in Organizations with the Help of some Organizations in Iran. Editorial Board, 3, (In Persian).
Rajabi, A. (2005). Measurement and Evaluation of Human Resources Operations Using Fuzzy Logic Method. Fourth International Management Conference, (In Persian).
Roberts S. Kaplan & David P. Norton, (1996), using the Balanced scorecard as a strategic management system, Harvard Business Review Reprint / 107.
Saatchi, M. (1976). Productivity Psychology. Virayesh Publishing, (In Persian).
Singer, M.,( 2000), Human Resource Management, PWS-Kent Co.
Stone Raymond, J.(2005), Human Resource Management.
Internet: Performance Appraisal Guideline, Published by Office of Human Resources , February ,2002.
Burrough, P. A. (1989), Fuzzy mathematical methods for soil survey and land evaluation, J. soil sci. 40: 477- 492
Burrough, P. A., R.A. Macmillan W. Van Deursen, (1992), Fuzzy classification methods for determinig land suitability from profile observation and topography, J. Soil Sci,193-210
Carlson, W. L., B. Thorne., (2005), Applied statistical methods, Prentice-Hall Inc., 1021P. 42-Jung, J. R., Sun, C., Mizutani, E,.(2002), Neruro-fuzzy and soft computing, Printice-Hall
Kerre, E,. (2004), Introduction to the basic principles of fuzzy set theory and some of its applications, Communication and cognition, Blandijnberg 2, 900 Gent, Belgium
E.utgoff, paull, Berkman, Neil, A. clouse, Jeffery, decision tree Iuduction based on efficient tree restructuring.
Yuan& Shaw. (1995), Iducation of fuzzy decision tree, fuzzy stes and systems.
Zahedi, M. (1999). Theory of Fuzzy Collections and Its Uses. Ketab Publishing, (In Persian).