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Shaout, Adnan
- Employee Performance Appraisal System Using Fuzzy Logic
Authors
1 The Department of Electrical and Computer Engineering, The University of Michigan - Dearborn, MI, US
2 Collage of Computer Science and Information Technology, Collage of Post Graduate, Sudan University of Science and technology, SD
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 6, No 4 (2014), Pagination: 1-19Abstract
Evaluation of employee performance is an important element in enhancing the quality of the work and improves employees' motivation to perform well. It also presents a basis for upgrading and enhancing of an organization. Periodical employees' performance evaluation in an organization assists management to recognize its strengths and weaknesses.
This paper presents a design and implementation of a performance appraisal system using the fuzzy logic. In addition to the normal process of performance evaluation modules, the system contains step by step inference engine processes. These processes demonstrate several calculation details in relations composition and aggregation methods such as min operator, algebraic product, sup-min and sup-product. The system has foundation to add-on analysis module to analyze and report the final result using various similarity measures. MS Access database was used to maintain the data, build the inference logic and develop all setting user interfaces.
Keywords
Employee Evaluation, Fuzz logic Controller, Performance Appraisal, Performance Criteria, Rating.- Fuzzy Rule Base System for Software Classification
Authors
1 The Electrical and Computer Engineering Department, The University of Michigan - Dearborn, Dearborn, Michigan, US
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 5, No 3 (2013), Pagination: 1-21Abstract
Given the central role that software development plays in the delivery and application of information technology, managers have been focusing on process improvement in the software development area. This improvement has increased the demand for software measures, or metrics to manage the process. This metrics provide a quantitative basis for the development and validation of models during the software development process. In this paper a fuzzy rule-based system will be developed to classify java applications using object oriented metrics. The system will contain the following features:
Automated method to extract the OO metrics from the source code, Default/base set of rules that can be easily configured via XML file so companies, developers, team leaders, etc, can modify the set of rules according to their needs, Implementation of a framework so new metrics, fuzzy sets and fuzzy rules can be added or removed depending on the needs of the end user, General classification of the software application and fine-grained classification of the java classes based on OO metrics, and Two interfaces are provided for the system: GUI and command.