[PDF][PDF] Distance measure, similarity measure, entropy and inclusion measure for temporal intuitionistic fuzzy sets
In this study, we proposed distance measures similarity measure, entropy and inclusion
measure for temporal intuitionistic fuzzy sets and investigated some properties of these …
measure for temporal intuitionistic fuzzy sets and investigated some properties of these …
Study on entropy and similarity measure for fuzzy set
In this study, we investigated the relationship between similarity measures and entropy for
fuzzy sets. First, we developed fuzzy entropy by using the distance measure for fuzzy sets …
fuzzy sets. First, we developed fuzzy entropy by using the distance measure for fuzzy sets …
A community detection algorithm based on multi-similarity method
L Ni, P ManMan, J Wenjun, L Kenli - Cluster Computing, 2019 - Springer
Social network detection and identification constitute an important topic in the field of
sociology. Previous graph similarity has focus on either the topological structure of graph or …
sociology. Previous graph similarity has focus on either the topological structure of graph or …
Similarity measure application to fault detection of flight system
JH Kim, SH Lee, H Wang - Journal of Central South University of …, 2009 - Springer
Fault detection technique is introduced with similarity measure. The characteristics of
conventional similarity measure based on fuzzy number are discussed. With the help of …
conventional similarity measure based on fuzzy number are discussed. With the help of …
Similarity computation between fuzzy set and crisp set with similarity measure based on distance
SH Lee, H Park, WJ Park - … 4th Asia Infomation Retrieval Symposium, AIRS …, 2008 - Springer
Similarity Computation between Fuzzy Set and Crisp Set with Similarity Measure Based on
Distance Page 1 H. Li et al. (Eds.): AIRS 2008, LNCS 4993, pp. 644–649, 2008. © Springer-Verlag …
Distance Page 1 H. Li et al. (Eds.): AIRS 2008, LNCS 4993, pp. 644–649, 2008. © Springer-Verlag …
[PDF][PDF] Grou** DNA sequences with similarity measure and application
S Lee - Journal of the Korea Convergence Society, 2013 - scholar.archive.org
Grou** problem with similarities between DNA sequences are studied. The
similaritymeasure and the distance measure showed the complementary characteristics …
similaritymeasure and the distance measure showed the complementary characteristics …
Similarity computation of fuzzy membership function pairs with similarity measure
D Park, SH Lee, EH Song, D Ahn - … , ICIC 2007, Qingdao, China, August 21 …, 2007 - Springer
The similarity computations for fuzzy membership function pairs are carried out. Similarity
measure is proposed for the general fuzzy sets. Obtained similarity measure has the inverse …
measure is proposed for the general fuzzy sets. Obtained similarity measure has the inverse …
Power interconnected system clustering with advanced fuzzy C-mean algorithm
An advanced fuzzy C-mean (FCM) algorithm was proposed for the efficient regional
clustering of multi-nodes interconnected systems. Due to various locational prices and …
clustering of multi-nodes interconnected systems. Due to various locational prices and …
Zone clustering LMP with location information using an improved fuzzy C-Mean
SH Jang, JH Kim, SH Lee… - … Conference on Intelligent …, 2007 - ieeexplore.ieee.org
For the efficient zone clustering of Large-scale power system, this paper introduces an
improved fuzzy C-means (FCM) approach. Due to physical characteristics of Power System …
improved fuzzy C-means (FCM) approach. Due to physical characteristics of Power System …
Similarity measure design and similarity computation for discrete fuzzy data
SH Lee, WJ Park, D Jung - Journal of Central South University, 2011 - Springer
The similarity computations for fuzzy membership function pairs were carried out. Fuzzy
number related knowledge was introduced, and conventional similarity was compared with …
number related knowledge was introduced, and conventional similarity was compared with …