Manhattan Distance Based Measurement of Similarity for Normal Cloud Model
This article considers the expectation curve and expectation curve with the entropy of normal clouds,and proposes a similarity measurement method for normal clouds based on Manhattan dis-tance.Firstly,the uncertain linguistic information is transformed into quantitative numerical values.Then,the similarity between the group cloud evaluation and the best and worst clouds is calculated separately.The weighted average ensemble is used to obtain the comprehensive similarity,thereby ob-taining the ranking of each scheme.Finally,the effectiveness this method are demonstrated through ac-tual examples.
normal cloudexpectation curveManhattan distancesimilarity
NETL
NSTL
万方数据
