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Applying fuzzy integral for evaluating intensity of knowledge work in jobs

Author(s): Jalil Heidary Dahooie | Mohammad Reza Ghezel Arsalan

Journal: International Journal of Industrial Engineering Computations
ISSN 1923-2926

Volume: 4;
Issue: 4;
Start page: 517;
Date: 2013;
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Keywords: Knowledge work | Knowledge worker | Fuzzy integral | Job analysis

In this article, a framework is proposed to define and identify knowledge work intensity in jobs, quantitatively. For determining the Knowledge Work Intensity Score (KWIS) of a job, it is supposed that the job comprises some tasks and KWIS of the job is determined based on knowledge intensity of these tasks. Functional Job Analysis (FJA) method is applied to determine tasks of jobs and then Task’s Knowledge Intensity Score (TKIS) is computed by using Fuzzy integral method. Besides, importance weight and time weight of tasks are determined by utilizing appropriate methods. Finally, KWIS is calculated by a formula composed of tasks’ TKISs and the weights. For evaluating applicability of the framework, it is applied to calculate KWISs of two jobs (Deputy of Finance and service, Laboratory technician).

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