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The Identification of Job Satisfaction under Z-Information

S. Z. Eyupoglua, K. I. Jabbarovab, K. R. Aliyevac

a Faculty of Economics & Administrative Sciences, Department of Business Administration¸ Near East University, Nicosia, North Cyprus;
b Department of Computer Engineering¸ Azerbaijan State Oil and Industry University, Baku, Azerbaijan;
c Department of Instrument-making Engineering, Azerbaijan State Oil and Industry University, Baku, Azerbaijan

* Corresponding Author:S. Z. eyupoglu, email

Intelligent Automation & Soft Computing 2018, 24(1), 159-164.


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


Cite This Article

APA Style
Eyupoglu, S.Z., Jabbarova, K.I., Aliyeva, K.R. (2018). The identification of job satisfaction under z-information. Intelligent Automation & Soft Computing, 24(1), 159-164.
Vancouver Style
Eyupoglu SZ, Jabbarova KI, Aliyeva KR. The identification of job satisfaction under z-information. Intell Automat Soft Comput . 2018;24(1):159-164
IEEE Style
S.Z. Eyupoglu, K.I. Jabbarova, and K.R. Aliyeva "The Identification of Job Satisfaction under Z-Information," Intell. Automat. Soft Comput. , vol. 24, no. 1, pp. 159-164. 2018.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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