• DocumentCode
    1597067
  • Title

    Job Satisfaction Evaluation Using Fuzzy Approach

  • Author

    Rasmani, Khairul A. ; Shahari, Nor Azni

  • Author_Institution
    Univ. Teknologi MARA, Shah Alam
  • Volume
    4
  • fYear
    2007
  • Firstpage
    544
  • Lastpage
    548
  • Abstract
    Likert-type scale that employs ordinal values to represent linguistics terms has been very popular in the studies on job satisfaction evaluation. In this work, it is argued that the use of ordinal values in Likert scale does not offer the best way in representing the linguistic terms. This paper proposes the use of fuzzy sets to represent linguistic terms in Likert-type scale and employs the technique using fuzzy conjoint method in job satisfaction evaluation. Experimental results show that the analysis using fuzzy conjoint method produced consistent result compared to the analysis using the percentage. However, the fuzzy membership values obtained from fuzzy conjoint method can be used to compare the decisions between criteria used to measure job satisfaction, and hence is very useful in providing additional information for decision-making.
  • Keywords
    decision making; fuzzy set theory; linguistics; Likert-type scale; decision making; fuzzy approach; fuzzy sets; job satisfaction evaluation; linguistics; Australia; Data analysis; Decision making; Fuzzy set theory; Fuzzy sets; Information technology; Instruments; Libraries; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.455
  • Filename
    4344733