{"title":"PROMETHEE-compatible presentations of multicriteria evaluation tables","authors":"K. Lidouh, N. Doan, Y. D. Smet","doi":"10.1504/IJMCDM.2015.074086","DOIUrl":null,"url":null,"abstract":"Most decision problems involve the simultaneous optimisation of several conflicting criteria. Generally, the first step to solve such problems is to identify the set of alternatives and the criteria they will be evaluated on, leading to the construction of an evaluation table. Of course, there are numerous ways to build such a table and to represent it. For a problem of n alternatives and m criteria, there are n! • m! possibilities of representation. However, from a multicriteria point of view some of them can be more interesting than the others. In this article, we will make use of the PROMETHEE and GAIA methods from which the extracted information will serve to restructure such tables. In order to evaluate the properties of these PROMETHEE-based representations, an indicator will be defined that uses only ordinal information of the values contained in a given table. This measure will also serve as a fitness function for a genetic algorithm that will find good - if not the best - tables. These will allow to draw comparisons with PROMETHEE-based representations.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"5 1","pages":"385-424"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJMCDM.2015.074086","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Multicriteria Decision Making","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMCDM.2015.074086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 0
Abstract
Most decision problems involve the simultaneous optimisation of several conflicting criteria. Generally, the first step to solve such problems is to identify the set of alternatives and the criteria they will be evaluated on, leading to the construction of an evaluation table. Of course, there are numerous ways to build such a table and to represent it. For a problem of n alternatives and m criteria, there are n! • m! possibilities of representation. However, from a multicriteria point of view some of them can be more interesting than the others. In this article, we will make use of the PROMETHEE and GAIA methods from which the extracted information will serve to restructure such tables. In order to evaluate the properties of these PROMETHEE-based representations, an indicator will be defined that uses only ordinal information of the values contained in a given table. This measure will also serve as a fitness function for a genetic algorithm that will find good - if not the best - tables. These will allow to draw comparisons with PROMETHEE-based representations.
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