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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,

Intelligent Automation & Soft Computing 2018, 24(1), 159-164. https://doi.org/10.1080/10798587.2017.1327156

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

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Cite This Article

S. Z. Eyupoglu, . K. I. Jabbarova and . K. R. Aliyeva, "The identification of job satisfaction under z-information," Intelligent Automation & Soft Computing, vol. 24, no.1, pp. 159–164, 2018.



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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