@Article{10798587.2017.1327156,
AUTHOR = {S. Z. Eyupoglu, K. I. Jabbarova, K. R. Aliyeva},
TITLE = {The Identification of Job Satisfaction under Z-Information},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {1},
PAGES = {159--164},
URL = {http://www.techscience.com/iasc/v24n1/39739},
ISSN = {2326-005X},
ABSTRACT = {Complexities in organizational and economical environments have lead psychologists, management 
scholars, and economists to investigate the multi-dimensional essence of job satisfaction. Unfortunately, 
existing studies are based on exact data, whereas relevant information is imperfect. To deal with imprecise 
and partially reliable information, Zadeh proposed the concept of a Z-number. In this paper we consider 
the Z-number valued rule based model to represent the relationship between job satisfaction and the 
facets/factors influencing job satisfaction. A real-world job satisfaction index evaluation problem is used 
to illustrate the suggested approach},
DOI = {10.1080/10798587.2017.1327156}
}