基于语言值聚合算法的数据去重产品选择

Selection of Data Deduplication Products Based on the Linguistic Valued Aggregation Algorithm

针对语言真值直觉模糊信息环境下的数据去重产品选择问题，构建了一种基于语言真值直觉模糊集成算法的多属性决策方法。该方法首先在语言真值直觉模糊代数的基础上，运用语言真值直觉模糊对来表达既有可比性又有不可比性的模糊语言值信息：其次提出了语言真值直觉模糊加权平均算子和语言真值直觉模糊有序加权平均算子，并讨论了其相关性质，同时利用两种聚合算子对语言真值直觉模糊信息进行加权聚合，将聚合结果进行排序：然后引入了参照相近度用以处理排序过程中出现的不可比情况：最后构建一种语言真值直觉模糊多属性群决策方法，并通过数据去重产品的选择实例说明提出的决策方法是合理和有效的。

For the data deduplication product selection problem under the linguistic truth-valued intuitionistic fuzzy information environment, a novel multi-attribute decision making method based on the linguistic truth-valued intuitionistic fuzzy aggregation algorithm is investigated. First, based on the linguistic truth-valued intuitionistic fuzzy algebra, the linguistic truth-valued intuitionistie fuzzy pairs are utilized to express the fuzzy linguistic-valued information which is both comparable and incomparable. Then, the linguistic truth-valued intuitionistic fuzzy weighted averaging operator and linguistic truth-valued intuitionistic fuzzy ordered weighted averaging operator are proposed, and their properties are discussed in detail. Fuzzy linguistic-valued information is weighted and aggregated by two aggregation operators, and the aggregation results will be ranked. In addition, the reference nearness degree is introduced for the situation of incomparability in the process of ranking. Finally, a linguistic truth-valued intuitionistic fuzzy multi-attribute decision making method is developed, and the developed method is applied to research the data deduplieation product selection to demonstrate its rationality and effectiveness.