欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对一类评价信息不完全且属性值由精确数、语言评价值等定量、定性形式构成的混合型不完全信息多属性群决策问题，提出了一种基于直觉模糊集和证据理论的决策方法。首先定义了转换函数将不同类型属性值一致转换为更符合决策实际的直觉模糊数，接着根据信息熵原理利用直觉模糊数中的犹豫度确定专家客观权重，随后应用证据理论集结含有信息缺失的评价值，并构造了一可能度比较公式用于集结后方案排序。该法解决了决策问题中易出现的信息残缺和混合型信息等情况，具有更强的实用性。最后的实例分析证明了该方法的科学性、有效性。
英文摘要：
A new decision making approach is proposed for multi-attribute group decision making problem with incomplete hybrid assessment information. First, a conversion function is defined to transfer multifarious assessment information into intuitionistic fuzzy numbers . Then, based on the theory of information entropy, expert＇s objection weight is judged by his hesitating degree. The D-S theory is used to deal with incomplete assessment information, and a possibility degree formula is conceived to rank alternatives. Finally, an example is given to show the feasibility and availability of the theory.
同期刊论文项目
同项目期刊论文
An argument-dependent approach to determining OWA operator weights based on the rule of maximum entr
Consumer preference prediction by using a hybrid evidential reasoning and belief rule-based methodol
Applying a belief rule-base inference methodology to a guideline-based clinical decision support sys
Integrating classification capability and reliability in associative classification: A beta-stronger
Analyzing the applicability of Dempster’s rule to the combination of interval-valued belief structur
ASSESSMENT OF STRATEGIC R&D PROJECTS FOR CAR MANUFACTURERS BASED ON THE EVIDENTIAL REASONING APPROAC
期刊信息
位置：