Including multiple perspectives in participatory multi-criteria analysis: A framework for investigation

IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Performance Evaluation Pub Date : 2022-09-09 DOI:10.1177/13563890221123822
M. Dean
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引用次数: 2

Abstract

Over the past few decades, a number of participatory multi-criteria analysis methods, combining deliberative procedures with multiple decision criteria assessment techniques, have been developed to tackle complex policy problems. However, several important aspects of such methods, including the way in which different and often contrasting viewpoints should be included in the analysis, appear to have been largely neglected by previous studies. Possible problems and drawbacks that may hamper the applicability and feasibility of multi-actor multi-criteria exercises and the utility and reliability of their outcomes also deserve further investigation. This article seeks to fill this knowledge gap by proposing a conceptual framework and classification scheme that illustrates the different possible approaches for identifying the key elements of the multi-criteria problem (i.e. options, objectives/criteria, weights and scores), while dealing with different points of view. It also discusses the potential advantages, disadvantages and issues of each approach and ultimately defines the overarching factors that should orientate the selection of one specific approach over the others.
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参与式多标准分析中的多视角:一种调查框架
在过去的几十年里,为了解决复杂的政策问题,已经发展了一些参与性的多标准分析方法,将审议程序与多重决策标准评估技术相结合。然而,这些方法的几个重要方面,包括在分析中应该包括不同的和经常是对比的观点的方式,似乎在很大程度上被以前的研究所忽视。可能妨碍多参与者多标准练习的适用性和可行性及其结果的效用和可靠性的问题和缺点也值得进一步调查。本文试图通过提出一个概念框架和分类方案来填补这一知识空白,该方案说明了识别多标准问题的关键要素(即选项、目标/标准、权重和分数)的不同可能方法,同时处理不同的观点。它还讨论了每种方法的潜在优点、缺点和问题,并最终定义了应该指导选择一种特定方法而不是其他方法的首要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Performance Evaluation
Performance Evaluation 工程技术-计算机:理论方法
CiteScore
3.10
自引率
0.00%
发文量
20
审稿时长
24 days
期刊介绍: Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions: -Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques -Provide new insights into the performance of computing and communication systems -Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools. More specifically, common application areas of interest include the performance of: -Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management) -System architecture, design and implementation -Cognitive radio -VANETs -Social networks and media -Energy efficient ICT -Energy harvesting -Data centers -Data centric networks -System reliability -System tuning and capacity planning -Wireless and sensor networks -Autonomic and self-organizing systems -Embedded systems -Network science
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