A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
Correlation and information energy of interval-valued fuzzy numbers
Fuzzy Sets and Systems
Some algebraic properties and a distance measure for interval-valued fuzzy numbers
Information Sciences—Applications: An International Journal
Fuzzy risk analysis based on measures of similarity between interval-valued fuzzy numbers
Computers & Mathematics with Applications
Fuzzy risk analysis based on interval-valued fuzzy numbers
Expert Systems with Applications: An International Journal
Similarity Measure between Generalized Fuzzy Numbers Using Quadratic-Mean Operator
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 03
Expert Systems with Applications: An International Journal
Fuzzy job-shop scheduling based on ranking level (λ, 1) interval-valued fuzzy numbers
IEEE Transactions on Fuzzy Systems
Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers
IEEE Transactions on Fuzzy Systems
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.05 |
Interval-valued fuzzy numbers are very useful for representing a decision-maker's evaluations of parameters or variables associated with real-world problems. This study presents a new similarity measure that is based on the quadratic-mean operator to solve problems that involve the measurement of similarity between interval-valued fuzzy numbers. Some properties of the proposed similarity measure have been demonstrated, and 15 sets of interval-valued fuzzy numbers are adopted to compare the proposed method with existing similarity measures. The results of the comparison indicate that the proposed similarity measure is better than existing methods. Finally, the proposed similarity measure is used to deal with fuzzy recommendation process.