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Tradeoff and Sensitivity Analysis of a Hybrid Model for Ranking Commercial Off-the-Shelf Products

机译:商业现货产品排序的混合模型的权衡和敏感性分析

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Despite its popularity, The COTS-based development still faces some challenges, in particular the evaluation and selection process in which uncertainty plays a major role. A hybrid model, composed of the analytic hierarchy process (AHP) and Bayesian Belief Network (BBN), is proposed to evaluate and rank various COTS candidates while explicitly considering uncertainty. Several input parameters such as weights assigned to evaluation criteria, relative scores for various COTS candidates, and prior belief about the satisfaction of various attributes associated with the evaluation criteria need to be estimated. The estimation process of these input parameters is subject to uncertainty that limits the applicability of the modelȁ9;s results. In this paper, we apply sensitivity analysis to check the validity and robustness of the model. Further, we apply tradeoff analysis to explore the impact of relaxing one criterion in order to achieve an increase in another criterion that is considered as more desirable in a particular project context. A digital library system is used as a case study to illustrate how the proposed tradeoff and sensitivity analysis was performed.
机译:尽管基于COTS的开发非常流行,但仍面临一些挑战,特别是在不确定性起主要作用的评估和选择过程中。提出了一种混合模型,该模型由层次分析法(AHP)和贝叶斯信念网络(BBN)组成,用于评估各种COTS候选者并对其排序,同时明确考虑不确定性。需要估计几个输入参数,例如分配给评估标准的权重,各种COTS候选者的相对得分,以及对与评估标准相关的各种属性的满意度的先验信念。这些输入参数的估计过程存在不确定性,该不确定性限制了模型9结果的适用性。在本文中,我们应用敏感性分析来检验模型的有效性和鲁棒性。此外,我们应用权衡分析来探索放宽一个标准的影响,以实现在特定项目环境中认为更可取的另一条标准的增加。以数字图书馆系统为例,说明如何进行建议的权衡和敏感性分析。

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