Measurement of Job Satisfaction Using Fuzzy Sets
| Autor: | Tulen Saner, Gunay Sadikoglu, Rahib H. Abiyev, Serife Zihni Eyupoglu |
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| Rok vydání: | 2016 |
| Předmět: |
021103 operations research
Knowledge management ComputingMilieux_THECOMPUTINGPROFESSION business.industry Computer science 05 social sciences Fuzzy set 0211 other engineering and technologies fuzzy conjoint model 02 engineering and technology Similarity measure Fuzzy logic Preference Conjoint analysis Set (abstract data type) Job satisfaction 0502 economics and business Statistics General Earth and Planetary Sciences 050211 marketing similarity degree business General Environmental Science |
| Zdroj: | Procedia Computer Science. 102:294-301 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2016.09.404 |
| Popis: | The measurement of job satisfaction is carried out using the set of variables of some criterions defined by the experts. This measurement is basically based on linguistic evaluations of the variables. In the paper these linguistic values are represented by fuzzy sets as preference levels. A fuzzy set theory was combined with conjoint analysis and used for measurement of the job satisfaction of hotel employees. The algorithm for solving of fuzzy job satisfaction has been designed. The attributes for evaluation of job satisfaction are determined and employees’ opinions were recorded in the form of preference degrees. The statistical data describing satisfaction levels of hotel employees are collected. The membership degrees for each attribute are determined and using a similarity measure the closest of opinions of the employees and experts’ are determined. These closest degrees are ranked, and the evaluation of job satisfaction has been performed. |
| Databáze: | OpenAIRE |
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