.png){kind=icon}
返回
From Measures to Conclusions Using Analytic Hierarchy Process in Dependability Benchmarking
.png){kind=icon}
OA
AI
DOI：10.1109/TIM.2014.2348632.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Dependability benchmarks are aimed at comparing and selecting alternatives in application domains where faulty conditions are present. However, despite its importance and intrinsic complexity, a rigorous decision process has not been defined yet. As a result, benchmark conclusions may vary from one evaluator to another, and often, that process is vague and hard to follow, or even nonexistent. This situation affects the repeatability and reproducibility of that analysis process, making difficult the cross-comparison of results between works. To mitigate these problems, this paper proposes the integration of the analytic hierarchy process (AHP), a widely used multicriteria decision-making technique, within dependability benchmarks. In addition, an assisted pairwise comparison approach is proposed to automate those aspects of AHP that rely on judgmental comparisons, thus granting consistent, repeatable, and reproducible conclusions. Results from a dependability benchmark for wireless sensor networks are used to illustrate and validate the proposed approach.
Keyword:
Benchmark testing
decision making
fault tolerance
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
2.0W
被引数:
5.8W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏
查看更多内容