{"title":"时间PROMETHEE II应用中基于插值的时间加权向量启发方法","authors":"Issam Banamar","doi":"10.1504/IJMCDM.2019.098040","DOIUrl":null,"url":null,"abstract":"Many real-life decision problems are time-dependant; they cannot be effectively addressed with the classic multi-criteria decision aid methodology which deals with 'static' problems. In fact, comparing time-dependant alternatives (possible decisions, actions …) may require several assessments spaced in time. If the aim is to rank these alternatives by aggregating their periodic assessments, one would wonder how to weigh these assessments with respect to the time scale. This paper introduces a novel method -based on interpolation- for the elicitation of the periodic weights required in temporal PROMETHEE II. Assuming that each periodic assessment has a relative temporal weight, the proposed method derives, from the decision maker, a subset of these weights. Then the remained ones are found by an appropriate linear interpolation. Simulation results show that a few elicited weights are sufficient to determine an effective approximation of the whole set of the desired temporal weights.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2019.098040","citationCount":"5","resultStr":"{\"title\":\"An interpolation-based method for the time weighed vector elicitation in temporal PROMETHEE II applications\",\"authors\":\"Issam Banamar\",\"doi\":\"10.1504/IJMCDM.2019.098040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many real-life decision problems are time-dependant; they cannot be effectively addressed with the classic multi-criteria decision aid methodology which deals with 'static' problems. In fact, comparing time-dependant alternatives (possible decisions, actions …) may require several assessments spaced in time. If the aim is to rank these alternatives by aggregating their periodic assessments, one would wonder how to weigh these assessments with respect to the time scale. This paper introduces a novel method -based on interpolation- for the elicitation of the periodic weights required in temporal PROMETHEE II. Assuming that each periodic assessment has a relative temporal weight, the proposed method derives, from the decision maker, a subset of these weights. Then the remained ones are found by an appropriate linear interpolation. Simulation results show that a few elicited weights are sufficient to determine an effective approximation of the whole set of the desired temporal weights.\",\"PeriodicalId\":38183,\"journal\":{\"name\":\"International Journal of Multicriteria Decision Making\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1504/IJMCDM.2019.098040\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Multicriteria Decision Making\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJMCDM.2019.098040\",\"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.2019.098040","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 interpolation-based method for the time weighed vector elicitation in temporal PROMETHEE II applications
Many real-life decision problems are time-dependant; they cannot be effectively addressed with the classic multi-criteria decision aid methodology which deals with 'static' problems. In fact, comparing time-dependant alternatives (possible decisions, actions …) may require several assessments spaced in time. If the aim is to rank these alternatives by aggregating their periodic assessments, one would wonder how to weigh these assessments with respect to the time scale. This paper introduces a novel method -based on interpolation- for the elicitation of the periodic weights required in temporal PROMETHEE II. Assuming that each periodic assessment has a relative temporal weight, the proposed method derives, from the decision maker, a subset of these weights. Then the remained ones are found by an appropriate linear interpolation. Simulation results show that a few elicited weights are sufficient to determine an effective approximation of the whole set of the desired temporal weights.
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