NDLI: An Enterprise performance Evaluating System Using Fuzzy-AHP

Content Provider	IEEE Xplore Digital Library
Author	Cai Lan Guo Shunsheng Tang Hongmei
Copyright Year	2006
Description	Author affiliation: Dept. of Mechatron. Inst., Wuhan Univ. of Technol., Wuhan (Cai Lan; Guo Shunsheng; Tang Hongmei)
Abstract	The employee performance evaluating system not only has direct relationship with the effectiveness of selection employee, but also affects establishment and operation of the organization stimulation mechanism. Through the analysis of the enterprises performance evaluation contents with characteristics, this paper designs the system based on the employee's performance and essence in work. In order to assess systematically with science, it is crucial to considering the both qualitative and quantitative factors simultaneously. The analytic hierarchy process (AHP) is a kind of decision-making method with the combination of quantity and quality. Combining with fuzzy algorithm, this paper established an enterprise performance evaluating system based on enterprise database, discussing many issues in the systematic design and developing the implement step. This system make the evaluation process transparent by using data mining and fuzzy-AHP algorithm, and avoid the disturbing from excessively subjective factors. Thus it can guarantee the fairness of the assessment. Finally, the example and conclusion are given.
Starting Page	1071
Ending Page	1075
File Size	2358444
Page Count	5
File Format	PDF
ISBN	1424405289
DOI	10.1109/ICIA.2006.305889
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Uncertainty fuzzy algorithm Decision making Enterprise resource planning Technology planning Technology management database analytic hierarchy process (AHP) Databases Performance analysis Resource management Fuzzy systems
Content Type	Text
Resource Type	Article

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