在ISO 14031的背景下，使用模糊多准则方法进行环境绩效评价

Q4 Business, Management and Accounting

International Journal of Multicriteria Decision Making Pub Date : 2017-11-06 DOI:10.1504/IJMCDM.2017.10008672

E. Grigoroudis

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引用次数: 0

摘要

评价和记录成功的环境管理体系的一个重要工具是环境绩效评价。EPE通常被定义为一种持续的内部过程和管理工具，使用指标评估组织的环境管理体系，并比较过去和现在的绩效。ISO 14031-14032等相关国际标准描述了绩效指标的类别；然而，它们并没有确定制定、衡量和评价这些指标的具体框架。本研究的主要目的是提出一种基于模糊UTASTAR方法的EPE方法。模糊UTASTAR是众所周知的UTASTAR方法的扩展，能够处理普通（清晰）和模糊评估数据。为了证明该方法的应用，给出了一个案例研究，将模糊UTASTAR应用于某钢厂的EPE框架中。

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Environmental performance evaluation in the context of ISO 14031 using a fuzzy multiple criteria approach

An important tool for the evaluation and documentation of a successful environmental management system is the environmental performance evaluation (EPE). EPE is generally defined as a continuous internal process and management tool that, using indicators, evaluates the environmental management system of an organisation and compares past and present performance. Relevant international standards such as ISO 14031-14032 describe the categories of performance indicators; however, they do not determine a specific framework for the development, measurement and evaluation of these indicators. The main aim of this study is to present an EPE methodology based on the fuzzy UTASTAR method. Fuzzy UTASTAR is an extension of the well-known UTASTAR method capable to handle both ordinary (crisp) and fuzzy evaluation data. To demonstrate the application of the methodology, a case study is presented, where fuzzy UTASTAR is used in the frame of the EPE of a mills industry.

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来源期刊

International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management

CiteScore

0.70

自引率

0.00%

发文量

期刊介绍： IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields