Interval and BUI type basic uncertain information in multi-sources evaluation and rules based decision making

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Lesheng Jin, R. Yager, Zhen-Song Chen, Jana Špirková, R. Mesiar
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引用次数: 6

Abstract

This study defines interval type basic uncertain information and BUI type basic uncertain information, which are two extensions of basic uncertain information and can model more types of uncertainties and uncertainty involved evaluation problems. Under rules based and linguistic decision making environments, we analyze and provide some classification rules with real values, interval values, BUI granules, interval type basic uncertain information and BUI type basic uncertain information. Using the proposed new concepts and decision making methods, an illustrative example in preference and uncertainty involved multi-source evaluation is presented.
多源评价和规则决策中的区间和BUI型基本不确定信息
本研究定义了区间型基本不确定信息和BUI型基本不确定信息,它们是基本不确定信息的两种扩展,可以对更多类型的不确定性和涉及评估问题的不确定性进行建模。在基于规则和语言的决策环境下,分析并提供了包含实值、区间值、BUI颗粒、区间型基本不确定信息和BUI型基本不确定信息的分类规则。利用提出的新概念和决策方法,给出了一个涉及多源评价的偏好和不确定性的实例。
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来源期刊
International Journal of General Systems
International Journal of General Systems 工程技术-计算机:理论方法
CiteScore
4.10
自引率
20.00%
发文量
38
审稿时长
6 months
期刊介绍: International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published. The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.
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