USING FUZZY COGNITIVE MAPS FOR PREDICTION OF KNOWLEDGE WORKER PRODUCTIVITY BASED ON REAL CODED GENETIC ALGORITHM

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

NAJAFI ASADALLAH; AFRAZEH ABBAS

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: International Journal of Industrial Engineering & Production Research Year:2011 | Volume:22 | Issue:1 Page(s): 21-30

Download Full-Text

View:

564

Download:

193

Cites:

Information Journal Paper

Title

USING FUZZY COGNITIVE MAPS FOR PREDICTION OF KNOWLEDGE WORKER PRODUCTIVITY BASED ON REAL CODED GENETIC ALGORITHM

Author(s)

NAJAFI ASADALLAH | AFRAZEH ABBAS | Issue Writer Certificate

Keywords

KNOWLEDGE WORK

KNOWLEDGE WORKER PRODUCTIVITY

FUZZY COGNETIVE MAPS

KNOWLEDGE MANAGEMENT

Abstract

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.

Cites

BARRIERS TO KNOWLEDGE SHARING AMONG NURSES IN EDUCATIONAL HOSPITALS OF KERMAN CITY, IRAN

References

No record.

Cite

APA: Copy

NAJAFI, ASADALLAH, & AFRAZEH, ABBAS. (2011). USING FUZZY COGNITIVE MAPS FOR PREDICTION OF KNOWLEDGE WORKER PRODUCTIVITY BASED ON REAL CODED GENETIC ALGORITHM. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH), 22(1), 21-30. SID. https://sid.ir/paper/578550/en

Vancouver: Copy

NAJAFI ASADALLAH, AFRAZEH ABBAS. USING FUZZY COGNITIVE MAPS FOR PREDICTION OF KNOWLEDGE WORKER PRODUCTIVITY BASED ON REAL CODED GENETIC ALGORITHM. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH)[Internet]. 2011;22(1):21-30. Available from: https://sid.ir/paper/578550/en

IEEE: Copy

ASADALLAH NAJAFI, and ABBAS AFRAZEH, “USING FUZZY COGNITIVE MAPS FOR PREDICTION OF KNOWLEDGE WORKER PRODUCTIVITY BASED ON REAL CODED GENETIC ALGORITHM,” INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH), vol. 22, no. 1, pp. 21–30, 2011, [Online]. Available: https://sid.ir/paper/578550/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops