Performance Evaluation of Similarity Measures on Similar and Dissimilar Text Retrieval

2015 ◽  
Author(s):  
Victor U. Thompson ◽  
Christo Panchev ◽  
Michael Michael Oakes
Keyword(s):  
Performance Evaluation ◽  
Similarity Measures ◽  
Text Retrieval

Some Fuzzy Tools for Evaluation of Computer Vision Algorithms

2018 ◽  
Vol 8 (1) ◽  
pp. 1-14
Author(s):  
Andrey Osipov
Keyword(s):  
Computer Vision ◽  
Performance Evaluation ◽  
Face Recognition ◽  
Set Theory ◽  
Fuzzy Set Theory ◽  
Evaluation Method ◽  
Similarity Measures ◽  
Ground Truth ◽  
Fuzzy Similarity ◽  
Segmentation Quality

In this article, some issues related to the performance evaluation of computer vision algorithms within the version of direct empirical supervised evaluation method developed at SRISA RAS are considered. This approach partly relies on the elements defined by using the fuzzy set theory, in particular, fuzzy similarity measures and fuzzy reference ground truth images. Some known measures of segmentation quality are considered and their extensions, representing the fuzzy similarity measures, are offered. As an example, the author considers an application of fuzzy ground truth images and fuzzy similarity measures, including some newly introduced ones, to the evaluation of face recognition algorithms.

Performance evaluation of similarity measures for dense multimodal stereovision

2016 ◽  
Vol 25 (3) ◽  
pp. 033013 ◽  
Author(s):  
Mustafa Yaman ◽  
Sinan Kalkan
Keyword(s):  
Performance Evaluation ◽  
Similarity Measures

scholarly journals Similarity Measures between Intuitionistic Fuzzy Credibility Sets and Their Multicriteria Decision-Making Method for the Performance Evaluation of Industrial Robots

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jun Ye ◽  
Shigui Du ◽  
Rui Yong
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Distance Measure ◽  
Similarity Measures ◽  
Multicriteria Decision Making ◽  
Industrial Robots ◽  
Multicriteria Decision ◽  
Intuitionistic Fuzzy ◽  
Generalized Distance ◽  
Credibility Degree

To enhance the credibility level/measure of an intuitionistic fuzzy set (IFS), this study proposes the notion of an intuitionistic fuzzy credibility set (IFCS) to express the hybrid information of a pair of a membership degree and a credibility degree and a pair of a nonmembership degree and a credibility degree. Next, we propose generalized distance and similarity measures between IFCSs and then further generalize the weighted generalized distance measure of IFCSs to the trigonometric function-based similarity measures of IFCSs, including the cosine, sine, tangent, and cotangent similarity measures based on the weighted generalized distance measure of IFCSs. Then, a multicriteria decision making (MCDM) method using the proposed similarity measures is developed in the environment of IFCSs. An illustrative example about the performance evaluation of industrial robots and comparative analysis are presented to indicate the applicability and efficiency of the developed method in the setting of IFCSs.

Fine Particle Mass Monitoring with Low-Cost Sensors: Corrections and Long-Term Performance Evaluation

2019 ◽  
Author(s):  
Carl Malings ◽  
Rebecca Tanzer ◽  
Aliaksei Hauryliuk ◽  
Provat K. Saha ◽  
Allen L. Robinson ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Fine Particle ◽  
Low Cost ◽  
Particle Mass ◽  
Long Term Performance ◽  
Term Performance

Performance Evaluation: Linking Sociology and Social Psychology?

1976 ◽  
Vol 21 (9) ◽  
pp. 645-646
Author(s):  
RODNEY B. PLIMPTON
Keyword(s):  
Social Psychology ◽  
Performance Evaluation
Sign in / Sign up

Export Citation Format

Share Document