Abstract
The aim of this study is to device a system based on fuzzy Petri nets for measuring employee performance. Fuzzy Petri net models are very helpful for specifying the expert systems with imprecise description of rules. Much research has been done for measuring human resource based on features like performance indicators generated in their work place. Such features are inherently challenging full to quantify as they are highly subjective and imprecise in nature. Concurrent and reliable systems can be realized or specified using Petri nets. Hence in this study, due to these limitations we focus on establishing the method for constructing fuzzy Petri net for the domain of human performance.
Highlights
Employee Performance measurement systems helps to measures, evaluate and reward managers and employees
A Fuzzy Petri Net model (FPN) (He et al, 1999; Shen, 2006) is Petri net having places and transitions, where places are denoted by rings and transitions are denoted by rectangle
Mapping the rule base to FPN: Throughout this mapping technique, all principle is represented as transitions with its relating certainty factor and each antecedent is displayed by an input place and the consequents are incontestable by an output place with scrutiny truth degrees
Summary
Employee Performance measurement systems helps to measures, evaluate and reward managers and employees. In this research the focus are the employees and it is found out that performance measurement systems, when implemented, helps to improve the quality of work for employees. Each transition representing a rule is associated with a certainty factor value between zero and one.
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