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International Journal of Industrial Engineering and Productional Research-، جلد ۲۲، شماره ۱، صفحات ۲۱-۳۰
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Using Fuzzy Cognitive Maps for Prediction of Knowledge Worker Productivity Based on Real Coded Genetic Algorithm
چکیده انگلیسی مقاله Improving knowledge worker productivity 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 knowledge workers because systems and processes in an organization are often regarded as a death blow to creativity. In this paper, we seek to present a method for prediction of Knowledge worker productivity (KWP) that it must be capable of predicting the productivity of the knowledge workers in a one year period of time based on the Fuzzy cognitive maps (FCM) technique Based on Real Coded Genetic Algorithm (RCGA) , as well as presenting the best option from among different options as the knowledge workers’ productivity improving strategy (suggesting solution), based on the results gained from this and the previous section and depending on the requirements. The validity of the suggested model will be tested in an Iranian Company .
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله اسداله نجفی | asadallah najafi
department of engineering and technology, islamic azad university, zanjan branch, zanjan, iran

سازمان اصلی تایید شده: دانشگاه آزاد اسلامی علوم و تحقیقات (Islamic azad university science and research branch)

عباس افرازه | abbas afrazeh
assistant professor department of industrial engineering, amirkabir university of technology, tehran, iran

سازمان اصلی تایید شده: دانشگاه صنعتی امیرکبیر (Amirkabir university of technology)

نشانی اینترنتی http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-181-2&slc_lang=en&sid=en
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