{"title":"PROMETHEE II对时态评价的扩展","authors":"Issam Banamar, Y. D. Smet","doi":"10.1504/IJMCDM.2018.094371","DOIUrl":null,"url":null,"abstract":"Conventional PROMETHEE methods have been designed to help decision makers to manage multicriteria problems without considering temporal evaluations. The aim of this paper is to introduce a temporal extension of PROMETHEE II. A new approach to set dynamic thresholds is introduced. The weighted arithmetic mean is used to aggregate net flow scores over time. In addition, an interactive query method is developed in order to determine decision maker's instances importance. Simulation results are used to show the effectiveness of this approach in terms of convergence and speed. Finally, an example is given to illustrate the model.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2018.094371","citationCount":"16","resultStr":"{\"title\":\"An extension of PROMETHEE II to temporal evaluations\",\"authors\":\"Issam Banamar, Y. D. Smet\",\"doi\":\"10.1504/IJMCDM.2018.094371\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Conventional PROMETHEE methods have been designed to help decision makers to manage multicriteria problems without considering temporal evaluations. The aim of this paper is to introduce a temporal extension of PROMETHEE II. A new approach to set dynamic thresholds is introduced. The weighted arithmetic mean is used to aggregate net flow scores over time. In addition, an interactive query method is developed in order to determine decision maker's instances importance. Simulation results are used to show the effectiveness of this approach in terms of convergence and speed. Finally, an example is given to illustrate the model.\",\"PeriodicalId\":38183,\"journal\":{\"name\":\"International Journal of Multicriteria Decision Making\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1504/IJMCDM.2018.094371\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Multicriteria Decision Making\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJMCDM.2018.094371\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Multicriteria Decision Making","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMCDM.2018.094371","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
An extension of PROMETHEE II to temporal evaluations
Conventional PROMETHEE methods have been designed to help decision makers to manage multicriteria problems without considering temporal evaluations. The aim of this paper is to introduce a temporal extension of PROMETHEE II. A new approach to set dynamic thresholds is introduced. The weighted arithmetic mean is used to aggregate net flow scores over time. In addition, an interactive query method is developed in order to determine decision maker's instances importance. Simulation results are used to show the effectiveness of this approach in terms of convergence and speed. Finally, an example is given to illustrate the model.
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
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