@article{MAKHILLIJSC20138421155,
    title = {Staff Selection Problem under Uncertainty Condition},
    journal = {International Journal of Soft Computing},
    volume = {8},
    number = {4},
    pages = {297-304},
    year = {2013},
    issn = {1816-9503},
    doi = {ijscomp.2013.297.304},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2013.297.304},
    author = {Rasyida Md,Muhammad Zaini,Muhammad Shahar and},
    keywords = {Fuzzy Methods,staff selection,multi-criteria decision making,Hamming distance,Malaysia},
    abstract = {Hiring the right person for the right position is the core 
  to the success of an organisation. Some organizations have suggested to create 
  an ideal candidate that fulfilled all requirements which needed for a particular 
  job. In this case, decision makers will make comparison between a set of candidates 
  with the ideal candidate and identify either the candidates are on the par with 
  the ideal candidate. Hamming distance is one of the methods that is widely being 
  used in order to compare the set of candidates with the ideal candidate. In 
  this study, researchers extended the use of Hamming Distance Method by using 
  weight for competence values. The decision makers will assign the weight for 
  each competence and will determine which weight that valued most. Final result 
  shows that the weight of each competence plays important roles to determine 
  the best or suitable candidate when there are similarities of the competence 
  values between different candidates.}
    }