摘要： In real-life circumstances, managers often have to face various decision-making problems. Among them, the topic of multi-criteria decision making (MCDM) is one of the most important and complicated problems in the decision-making field. In general, the element of MCDM can consist of three parts: input, output, and the solution approach. The input is expressed as m alternatives with n criteria. It usually assumes that the underlying input data can be represented in a decision table. Correspondingly, the output is an optimal outcome, or a set of outcomes, resolved by different kinds of solution approaches. In this study, we propose a summarization technique to display the decision table as a new summarization table; allowing managers to make decisions more quickly. The proposed technique is to optimize a summarization result so that the degree of information lost is minimum. Since seeking for a minimum result is an NP-hard problem, we applied a genetic algorithm to improve the summarization result. •In real-life circumstances, managers have to face various decision-making problems.•MCDM is one of the most important problems in the decision-making field.•The input data of MCDM can be represented in a decision table.•We propose a summarization technique to display it as a new summarization table. 出版者： Amsterdam: Elsevier B.V 出版日期： 2015-11 出處： Decision Support Systems, 2015-11, Vol.79, p.109-124 資源來源： Elsevier ScienceDirect Journals: Bodleian Libraries collection 版權： 2015 Elsevier B.V. 版權： Copyright Elsevier Sequoia S.A. Nov 2015 識別號： ISSN: 0167-9236 識別號： EISSN: 1873-5797 識別號： DOI: 10.1016/j.dss.2015.08.004 識別號： CODEN: DSSYDK
