Fuzzy Optimization and Decision Making - h5 Index Rating
The h5-index is a product of Google Scholar and shows a journal’s h-Index based on the journal’s articles published in the last 5 calendar years (with an overall minimum of 100 articles published during these years). The variable h is defined as the largest number of articles that have each been cited h times. The h5-Index therefore cannot be dominated by one or a few highly cited articles.
In 2020, Fuzzy Optimization and Decision Making received the following ratings:
h5-Index | h5-Median |
23 | 36 |
Fuzzy Optimization and Decision Making highlights some of these top cited articles:
Group decision-making based on heterogeneous preference relations with self-confidence
W Liu, Y Dong, F Chiclana, FJ Cabrerizo, E Herrera-Viedma
Fuzzy Optimization and Decision Making 16.4 (November 2016)
Consensus building with a group of decision makers under the hesitant probabilistic fuzzy environment
Z Xu, W Zhou
Fuzzy Optimization and Decision Making 16.4 (November 2016)
A survey of decision-making methods with probabilistic linguistic information: bibliometrics, preliminaries, methodologies, applications and future directions
H Liao, X Mi, Z Xu
Fuzzy Optimization and Decision Making 19.1 (October 2019)
Measuring analogousness in picture fuzzy sets: from picture distance measures to picture association measures
L Son
Fuzzy Optimization and Decision Making 16.1 (September 2016)
Reliability analysis in uncertain random system
M Wen, R Kang
Fuzzy Optimization and Decision Making 15.4 (February 2016)