Paper Title:
A New Similarity Measures of Intuitionistic Fuzzy Sets and Application to Pattern Recognitions
  Abstract

Intuitionistic fuzzy sets (IFSs), proposed by Atanassov, have gained attention from researchers for their applications in various fields. Then similarity measures between IFSs were developed. In this paper, firstly, some existing measures of similarity are reviewed. Then a new similarity measure is proposed and the relationships between some similarity measures are proved. Finally, the similarity measures of IFSs is applied to pattern recognition and the proposed similarity measures can provide a useful way for measuring IFSs more effectively.

  Info
Periodical
Advanced Materials Research (Volumes 219-220)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
160-164
DOI
10.4028/www.scientific.net/AMR.219-220.160
Citation
Y. B. Gong, "A New Similarity Measures of Intuitionistic Fuzzy Sets and Application to Pattern Recognitions", Advanced Materials Research, Vols. 219-220, pp. 160-164, 2011
Online since
March 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Xiao Xu Xia, Yong Wang
Abstract:This paper is concerned with the absolute stability of a new class of Takagi-Sugeno (T-S) fuzzy Lurie control systems with time-delay in the...
1045
Authors: Ji Guang Liu, Hai Yang Wang
Chapter 7: Other Related Topics
Abstract:This paper introduces a kind of fuzzy adaptive filtering algorithm. The whole process is divided into four steps. Plenty experimental...
1733
Authors: Xue Zhong Yin, Jie Gui Wang
Chapter 2: Reliability of Instrument and Fault Diagnosis
Abstract:In order to improve the efficiency and reliability of fault diagnosis for the special electronic equipment, an intelligent fault diagnostic...
401
Authors: Xu Dong Song, Wei Shao, Zhan Zhi Qiu, Yan Xia Chen
Chapter 3: Detection, Monitoring and Image Processing Technologies, Information Technologies, Control and MEMS
Abstract:In this paper, a new fuzzy inference method for fault diagnosis expert system is proposed. Firstly, fault antecedents were processed by...
639
Authors: Xiao Qiang Wen
Chapter 3: Manufacturing Engineering, Design, Modeling and Simulation in Manufacture and Industry
Abstract:A prediction model was built to predict the slagging characteristics of coal ash based on the theory of symmetric fuzzy cross entropy and...
617