文章基本信息

标题：Research on Algorithm and Model for Indefinite Multi-objective Decision Making
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作者：Zhou, Qihai ; Li, Yan
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2011
卷号：6
期号：2
页码：184-192
DOI：10.4304/jsw.6.2.184-192
语种：English
出版社：Academy Publisher
摘要：Decision Support System is playing an important role in computer science, technology and engineering. Intelligent decision-making is one of the current hotspots in the decision support system research. Intelligent decision-making methods and algorithms are one of the most important basics and key cores in intelligent information processing, intelligent pervasive computing and so on. In this paper, conduct the research to two kinds of indefinite multi-objective decision making question: the indefinite sector and the indefinite language. (1) In view of multi-attribute decision-making under linguistic setting, propose one new decision method. Firstly construct a range pole plan and introduce the policy-maker risk-preference weight. Then with three tuples (Limit low similarity, Risk degree, Risk-preference value) reflect the risk-degree existing in the decision-making process. At last, construct the risk-weighted similarity measure operator (RWSMO) to measure the risk balance similarity's size between each of decision schemes and the range pole plan. (2) In view of multi-attribute decision-making under the indefinite sector, propose one new decision method based on the multiple-valued intuitive fuzzy sets.
关键词：Intelligent Method;Range pole plan;Risk balance similarity;Multiple-valued intuitive fuzzy sets; Iisomorphism;Indefinite multi-objective decision-making