استفاده از روش AHP FSE در دوره ارزیابی کیفیت شبکه
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|6207||2011||6 صفحه PDF||سفارش دهید||1897 کلمه|
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Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Procedia Engineering, Volume 15, 2011, Pages 4136–4141
In order to resolve a problem on the network course quality evaluation be affected by many complicated factors, combining with Analytic Hierarchy Process (AHP) and Fuzzy Synthetic Evaluation (FSE) is applied in it. Firstly, it makes a top-down analysis of the factors that affect the network courses and establishes a set of hierarchical factor structure with AHP. Then, it evaluates the single factor, including to determine the weight of each factor to decision-making with AHP and to calculate the influence degree of each factor with FSE. Finally, it gives a down-top comprehensive fuzzy evaluation until obtaining the final evaluation result. Its results showed that AHP FSE considered fully the factors’ hierarchy and weight that affect the quality of network course. The Application of AHP FSE method can give an overall evaluation for the network course effectively.
As the network course quality evaluation is affected directly by the knowledge level, cognitive ability and personal preferences, it is difficult to rule out completely the bias caused by human factors, and it cannot be described accurately with distinct fuzzy feature[1-2]. In addition, the influence on the network course of each target is not necessarily the same (the different weights). Therefore, considering these factors, this thesis conducts an overall exploration and research on network course quality evaluation based on AHP (Analytic Hierarchy Process)[3-4] and FSE (Fuzzy Synthetic Evaluation) in the systems engineering theory
نتیجه گیری انگلیسی
The network course quality evaluation method based on AHP FSE is a useful exploration in theory. It combines the experiences with the wisdom of the evaluators to overcome the previous qualitative description of a single target-based evaluation, which makes the evaluation more comprehensive, more operational.