An expert system for job matching of the unemployed

Existing Technologies in Online Job Matching Tools and Their Potential Usage for Disadvantaged People

“…In addition to this, a Kuhu-Munkres based polynomial time algorithm is developed by combining the concepts of fuzzy set theory and the weighted complete bipartite graph for personnel placement. Fuzzy sets are also used for advanced expert systems, Drigas et al (2004) presents a hybrid expert system for the assessment of the unemployed at certain offered job posts. The expert system uses Neuro-Fuzzy techniques to analyze a database of job-seekers and enterprises profile data.…”

“…Traditional search engine techniques are inefficient in terms of information retrieval as they are not capable to recognize and respond to the implicit requirements of a user who has untypical statements in a search query. Simple information retrieval systems depending on Boolean queries cannot handle these requirements which has to be done in a more fuzzy and complex manner (Drigas et al 2004). Such systems are usually dependent on the user to provide an adequate entry of their requirements, which is a difficult task for the members of some disadvantaged groups.…”

Applications of fuzzy decision making for personnel selection problem: A review

“…Yu et al (2013) explored aggregation methods for prioritized hesitant fuzzy elements and their application on personnel evaluation. Drigas et al (2004) developed a hybrid expert system for personnel selection. For evaluation of the unemployed candidate for a certain job position, they used Neuro Fuzzy techniques that consider a corporate database of unemployed and enterprises profile data.…”

“…Yeh (2003) and Cheng (2009, 2009a) used interviewing for criteria selection. (Liang and Wang, 1992) Personnel placement (Liang and Wang, 1994) Personnel Selection (Yaakob and Kawata, 1999) Finding the better worker for production line (Ertugrul Karsak, 2000) Personnel Selection for an expatriate position (Lovrich, 2000) Senior economic and financial analyst selection (Chen, 2000) System analysis engineer selection in a software company • (Karsak, 2001) Personnel Selection (Capaldo and Zollo, 2001) Personnel Selection • (Lazarevic, 2001) Senior economic and financial analyst • (Butkiewicz, 2002) Staff selection in a tourism agency (Huang, et al, 2004) Middle manager Selection • (Drigas, et al, 2004) Unemployed Matching (Chen and Cheng, 2005) IS personnel for the position of a project manager • • (Saghafian and Hejazi, 2005) University professor hiring • • (Wang and Elhag, 2006) System analysis engineer selection in a software company • (Golec and Kahya, 2007) Employee evaluation and Selection • (Baykasoglu, et al, 2007) Project team members Selection (Mahdavi, et al, 2008) System analyst selection in a software company Zavadskas et al, 2008) Project manager selection (Canós and Liern, 2008) Personnel selection (Celik, et al, 2009) Recruitment of senior lecturer • Select an overseas marketing manager • (Güngör, et al, 2009) New position personnel selection Dejiang, 2009) RandD personnel selection (Polychroniou and Giannikos, 2009) Credit officer • (Dursun and Karsak, 2010) Industrial engineer • ( Kelemenis and Askounis, 2010) Top management team member • • (Kelemenis, et al, 2011) Manger selection • • (Boran, et al, 2011) Selecting a sales manager at a manufacturing company • (Abbas Rashidi, et al, 2011) Selection of Construction Project Managers • (Zhang and Liu, 2011) H...…”

An Intelligent System for Solo Taxonomy

“…5). [11] Concluding, we can say that the diagnostic tools are trustworthy tools for the educators' cooperation and contribution.…”