Application of Fuzzy Logic in Employee Promotion Decisions: Evidence from a Hypothetical Case
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In the article, we have applied fuzzy logic to employee promotion decisions as a human resources management tool. This logic is an extension of Boolean mathematics developed by Lotfi Zadeh which is generalization of the classical set theory. We have defined three fuzzy input variables (number of qualifications in related field, experience in years, and IQ level assessed by special test) and one output variable (quality of an employee). We assume that a hypothetical company’s approach to promotional decisions is underpinned by ethical principles like fairness, equality, and objectivity. In the calculation process, “Fuzzy Rank Tests”, “Fuzzy Stat Prob.” and “Fuzzy MCDM” packages of “R” program have been used in. All the names, values and a company name used in the paper are hypothetical.
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