(1993), Similarity and distance measures for cellular manufacturing. Part II: An extension and comparison, International Journal of Production Research, 31, 1315–1326. View ArticleShaferm SM, Rogers DF (1993) Similarity and distance for cellular manufacturing. Part II: an extension and comparison....
toillustratethesedistanceandsimilaritymeasures. Hesitantfuzzyset 2011ElsevierInc.s. Distancemeasure Similaritymeasure Decisionmaking 1.Introduction Whenpeoplemakeadecision,theyareusuallyhesitantandirresoluteforhingoranotherwhiakesitdifficultto reachafinalagreement.Forexample,twodecisionmakersdiscussthemembershipdegree...
Can't see the forest for the leaves: Similarity and distance measures for hierarchical taxonomies with a patent classification example 来自 EconPapers 喜欢 0 阅读量: 57 作者: McNamee,RC 摘要: Current measures of technological distance or similarity typically ignore a great deal of the information ...
The basis of many measures of similarity and dissimilarity is euclidean distance. The distance between vectors X and Y is defined as follows: In other words, euclidean distance is the square root of the sum of squared differences between corresponding elements of the two vectors. Note that the ...
Minkowski Distance: It is a generic distance metric where Manhattan(r=1) or Euclidean(r=2) distance measures are generalizations of it. Manhattan Distance: It is the sum of absolute differences between the coordinates. It is also called as Rectilinear Distance, L1-Distance/L1-Norm, Minkowski’...
Phenetic methods are those that use a measure of overall similarity (dissimilarity, or distance) between pairs of taxa, rather than the original data. It... D Penny - 《Journal of Theoretical Biology》 被引量: 141发表: 1982年 Similarity and Dissimilarity Measures The topics of similarity and ...
The Dual Hesitant Fuzzy Sets (DHFSs) is a useful tool to deal with vagueness and ambiguity in the multiple attribute decision making (MADM) problems. The distance and similarity measures analysis are important research topics. In this paper, we propose a variety of distance measures for dual he...
Cosine similarity measures the angle between two vectors in the vector space.When to use When you do not want to take vector magnitudes into account, only their directions (for example, when using word frequencies to represent a document). Notes Cosine distance is the same for normalized and ...
measures have been pro- posed. Particularly well-known measures are based are edit distance and the length of the longest common subsequence. We develop a notion of n-gram similarity and distance. We show that edit distance and the length of the longest common subsequence are special cases of...
In order to enhance and extend the applicability of the NPNLTSs, in this paper, we mainly investigate and develop some different types of distance and similarity measures for NPNLTSs. Firstly, a family of distance and similarity measures between two NPNLTSs with their properties and proofs are ...