Fuzzy multi-criteria-based impact category weighting in life cycle assessment

被引：32

作者：

Agarski, Boris ^{[1
]}

Budak, Igor ^{[1
]}

Vukelic, Djordje ^{[1
]}

Hodolic, Janko ^{[1
]}

机构：

[1] Univ Novi Sad, Fac Tech Sci, Novi Sad 21000, Serbia

来源：

JOURNAL OF CLEANER PRODUCTION | 2016年 / 112卷

关键词：

Multi-criteria analysis; Weighting; Fuzzy logic; Life cycle assessment; DECISION-MAKING; MULTICRITERIA ANALYSIS; ENVIRONMENTAL IMPACTS; LCA; VALUATION; SELECTION; LOGIC;

D O I：

10.1016/j.jclepro.2015.09.077

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Multi-criteria analysis methods have wide applications in solving complex decision-making problems. Techniques for evaluating different types of criteria allow multi-criteria analysis to be applied in life cycle assessment methods. This paper presents a multi-criteria fuzzy logic methodology aimed to perform impact category weighting and sensitivity analysis within the life cycle assessment of products and processes. The proposed methodology for impact category weighting integrates the decision maker's subjective and the default impact category weighting factors using a fuzzy interference system. The fuzzy interference system allows the relevance of the subjective and default impact category weightings to be changed and provides a novel approach to modelling the weighting factors using fuzzy membership functions. A comparison example of the life cycle assessment of four waste treatment processes is presented in this paper. The results show that multi-criteria analysis techniques can be applied successfully to perform weighting and sensitivity analysis in life cycle assessment. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：3256 / 3266

页数：11

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