清晰
一致性(知识库)
集合(抽象数据类型)
计算机科学
统一
过程(计算)
点(几何)
奇迹
数据科学
心理学
数学
人工智能
社会心理学
程序设计语言
生物化学
化学
几何学
作者
Reinout Heijungs,Yi Yang,Hung‐Suck Park
摘要
Abstract Why are both and used in life cycle assessment (LCA) matrix computations? This is a question that, in our experience of teaching LCA, students often wonder about and struggle with. A brief survey of the literature suggests that the question can also confuse experienced LCA practitioners. Here, we seek to unify the computational structures of the two LCA approaches to achieve greater clarity and consistency, especially to make them easier to teach. We first show how small but crucial differences in the set‐up of the two approaches lead to the use of versus . Then, we discuss the options to unify the presentations in a coherent way. We do not prescribe one way or the other. A larger point we hope to stress is the importance of unification, which may have both pedagogical and methodological benefits.
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