
The similarity measure is constructed for nonconvex fuzzy membership function using well known Hamming distance measure. Comparison with convex fuzzy membership function is carried out, furthermore characteristic analysis for nonconvex function are also illustrated. Proposed similarity measure is

 페이지 4페이지
 가격 6,000원
 발행일 2019.03.01
 파일종류 아크로벳(pdf)
 발행기관 한국지능시스템학회
 저자 Park Hyun Jeong, Sungshin Kim, Sang H. Lee


The similarity measure is constructed for nonconvex fuzzy membership function using well known Hamming distance measure. Comparison with convex fuzzy membership function is carried out, furthermore characteristic analysis for nonconvex function are also illustrated. Proposed similarity measure is

 페이지 5페이지
 가격 6,000원
 발행일 2019.03.01
 파일종류 아크로벳(pdf)
 발행기관 한국지능시스템학회
 저자 Park Hyun Jeong, Sungshin Kim, Sang H. Lee


The similarity measure is derived using fuzzy entropy and distance measure. By the relations of fuzzy entropy, distance measure, and similarity measure, we first obtain the fuzzy entropy. And with both fuzzy entropy and distance measure, similarity measure is obtained. We verify that the proposed me

 페이지 5페이지
 가격 6,000원
 발행일 2019.03.01
 파일종류 아크로벳(pdf)
 발행기관 한국지능시스템학회
 저자 SangHyuk Lee


The similarity analysis for fuzzy set pair or crisp set pair are carried out. The similarity measure that is based on distance measure is derived and proved. The proposed similarity measure is considered with the help of analysis for uncertainty or certainty part of the membership functions. The use

 페이지 6페이지
 가격 6,000원
 발행일 2019.03.01
 파일종류 아크로벳(pdf)
 발행기관 한국지능시스템학회
 저자 Park Hyun Jeong, Sang H. Lee


Measuring the similarity between fuzzy sets plays a vital role in several fields. However, none of all wellknown similarity measure methods is allpowerful, and all have the localization of its usage. This paper defines some operations on the similarity measures of fuzzy sets such as summation and

 페이지 4페이지
 가격 6,000원
 발행일 2019.03.01
 파일종류 아크로벳(pdf)
 발행기관 한국지능시스템학회
 저자 Saleh Omran, M. Hassaballah


Designing of similarity on high dimensional data was done. Similarity measure between high dimensional data was considered by analyzing neighbor information with respect to data sets. Obtained result could be applied to big data, because big data has multiple characteristics compared to simple data

 페이지 4페이지
 가격 6,000원
 발행일 2018.11.27
 파일종류 아크로벳(pdf)
 발행기관 한국재활복지공학회
 저자 Sanghyuk Lee, Eng Gee Lim


The traditional text similarity measurement methods based on word frequency vector ignore the semantic relationships between words, which has become the obstacle to text similarity calculation, together with the highdimensionality and sparsity of document vector. To address the problems, the improv

 페이지 13페이지
 가격 4,800원
 발행일 2017.10.25
 파일종류 아크로벳(pdf)
 발행기관 한국정보처리학회
 저자 ( Xu Li ) , ( Chunlong Yao ) , ( Fenglong Fan ) , ( Xiaoqiang Yu )


This paper introduces a new method to solve Similarity Recognition for Cloth Products, which is based on Fuzzy logic and Particle swarm optimization algorithm. For convenience, it is called the SRCPFP method hereafter. In this paper, the SRCPFP method combines Fuzzy Logic (FL) and Particle Swarm Opt

 페이지 19페이지
 가격 5,400원
 발행일 2017.12.25
 파일종류 아크로벳(pdf)
 발행기관 한국인터넷정보학회
 저자 ( Baemuu Chang )


Verification of efficiency in data management fuzzy entropy and similarity measure were discussed and verified by applying reliable data selection problem and numerical data similarity evaluation. In order to calculate the certainty or uncertainty fuzzy entropy and similarity measure are designed an

 페이지 6페이지
 가격 6,000원
 발행일 2019.03.01
 파일종류 아크로벳(pdf)
 발행기관 한국지능시스템학회
 저자 Hongmei Wang, Sanghyuk Lee


In this paper, we have surveyed the relation between similarity measure and dissimilarity measure for fuzzy sets. First, we study the entropy for fuzzy set and similarity for corresponding crisp set. By the obtaining result, we pointed out that the similarity between fuzzy set and corresponding comp

 페이지 4페이지
 가격 6,000원
 발행일 2019.03.01
 파일종류 아크로벳(pdf)
 발행기관 한국지능시스템학회
 저자 이상혁, 김상진, 김채형
