Volume 11, Issue 3 (2004)
EIJH 2004, 11(3): 81-90 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Fathian Brojeny M. Applying Artificial Intelligence to Career Consultation: A Case Based Reasoning Paradigm for Knowledge Management. EIJH 2004; 11 (3) :81-90
URL: http://eijh.modares.ac.ir/article-27-5022-en.html
URL: http://eijh.modares.ac.ir/article-27-5022-en.html
University of Science Technology
Abstract: (6140 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.
Received: 2010/06/16 | Accepted: 2004/06/15 | Published: 2010/06/16
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |