Using Fuzzy Wage Management System in Heavy Industry | Zendy

Ergün Eraslan | Zendy; Kumru Didem Atalay | Zendy; Metin Dağdeviren | Zendy; Erdem Aksakal | Zendy

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Using Fuzzy Wage Management System in Heavy Industry

Author(s) -

Ergün Eraslan,

Kumru Didem Atalay,

Metin Dağdeviren,

Erdem Aksakal

Publication year - 2013

Publication title -

procedia - social and behavioral sciences

Language(s) - English

Resource type - Journals

ISSN - 1877-0428

DOI - 10.1016/j.sbspro.2013.02.012

Subject(s) - job evaluation , wage , analytic hierarchy process , fuzzy logic , human resource management , computer science , structuring , outcome (game theory) , diversity (politics) , hierarchy , business , job analysis , process (computing) , operations research , operations management , knowledge management , economics , labour economics , engineering , microeconomics , management , artificial intelligence , job satisfaction , anthropology , market economy , finance , sociology , operating system

tructuring an accurate wage management system is one the most important steps in managerial activities of human resource management. This is based on job evaluation which is used to determine the relative importance of each job in a company. Job evaluation can be defined as a multi-criteria decision making problem. However, the evaluation processes, being subject to the diversity of managers’ assessment are often resulting in pay inequity. This outcome can be circumvented by utilizing a fuzzy job evaluation system. In this study, Analytic Hierarchy Process (AHP) is used to evaluate the specific criteria and fuzzy wage brackets are evaluated by Fuzzy Regression Analysis (FRA) in the steel industry

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