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将极大熵有序加权平均(ME-OWA)算子应用于元搜索引擎搜索结果的集成,并使用最新的极大熵有序加权平均算子的解析算法求解集成结果.在现有的加权有序集成算子(OWA)环境下,把用于集成元搜索引擎搜索结果的方法分为2类:有唯一解和多解信息集成方法.所提出的极大熵有序加权平均算子不仅可以得到精确的权重值,还能为决策者提供多种集成结果供选择.为了证明此集成算子的实用性,在集成元搜索引擎搜索结果的应用背景下,用极大熵有序加权平均算子和极小极大线性规划算法进行求解,并对2种方法的运算结果加以比较和讨论.结果显示,极大熵有序加权平均算子具有和极小极大线性规划算法几乎一样的结果.
The ME-OWA operator is applied to the integration of search results of meta-search engines, and the latest Max-entropy ordered weighted average operator algorithm is used to solve the integration results. In the existing weighted In OWA environment, the methods used to integrate the search results of Meta-search engines are divided into two categories: the unique and multi-solution information integration methods, and the proposed maximum entropy ordered weighted average operator not only We can get precise weight value, and also provide decision-makers with a variety of integration results to choose from.In order to prove the practicality of this integration operator, with the application of integrated meta-search engine search results, using the maximum entropy ordered weighted average Operator and minimax maximal linear programming algorithm, the results of the two methods are compared and discussed.The results show that the maximal entropy ordered weighted average operator has almost the same as the maximal minimax linear programming algorithm result.