{"title":"参与式多标准分析中的多视角:一种调查框架","authors":"M. Dean","doi":"10.1177/13563890221123822","DOIUrl":null,"url":null,"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.","PeriodicalId":19964,"journal":{"name":"Performance Evaluation","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2022-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Including multiple perspectives in participatory multi-criteria analysis: A framework for investigation\",\"authors\":\"M. Dean\",\"doi\":\"10.1177/13563890221123822\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":19964,\"journal\":{\"name\":\"Performance Evaluation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2022-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Performance Evaluation\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1177/13563890221123822\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Performance Evaluation","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1177/13563890221123822","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
Including multiple perspectives in participatory multi-criteria analysis: A framework for investigation
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.
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