Volume 11, Issue 3 (2004)                   IQBQ 2004, 11(3): 81-90 | Back to browse issues page

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Fathian Brojeny M. Applying Artificial Intelligence to Career Consultation: A Case Based Reasoning Paradigm for Knowledge Management. IQBQ 11 (3) :81-90
URL: http://eijh.modares.ac.ir/article-27-5022-en.html
University of Science Technology
Abstract:   (5420 Views)
Human resource plays a key role in a society and also for all kind of organization, therefore offering a reasonable and intelligent way for selection of a suitable and essential career. Artificial Intelligence (AI) is used today in science, engineering, business, manufacturing, management and many other fields. Expert systems as a branch of AI have attracted the at-tention of mostly large and medium organizations for doing some human’s activities. Case Based Reasoning (CBR) is also a new problem solving paradigm that in many ways is fun-damentally different from other major AI approaches. Instead of relying solely on general knowledge of a problem domain, or making associations along generalized relationships be-tween problem descriptors and conclusions, CBR is able to utilize the specific knowledge of previously experienced situations. This research work presents a model for designing an intelligent career consultation system using case-based reasoning which recommends suitable jobs for applicants. This system, as a sample, has been implemented in an Iranian organization.
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Received: 2010/06/16 | Accepted: 2004/06/15 | Published: 2010/06/16

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