Non-normal fuzzy number analysis in various levels using centroid method for fuzzy optimization
From MaRDI portal
Publication:2100227
DOI10.1007/S00500-021-05794-2zbMath1498.03139OpenAlexW3162756884MaRDI QIDQ2100227
Publication date: 21 November 2022
Published in: Soft Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00500-021-05794-2
centroid methodnon-normal fuzzy numberssymmetric fuzzy numberhendecagonal fuzzy numberheptagonal fuzzy number
Theory of fuzzy sets, etc. (03E72) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70)
Cites Work
- Unnamed Item
- Unnamed Item
- A note on the core of fuzzy numbers
- Ranking of fuzzy numbers by sign distance
- Symmetric fuzzy numbers and additive equivalence of fuzzy numbers
- Ranking fuzzy numbers with maximizing set and minimizing set
- A characterization of the extension principle
- Twofold fuzzy sets and rough sets - some issues in knowledge representation
- Comparison of fuzzy numbers based on the probability measure of fuzzy events
- Comparison of fuzzy sets on the same decision space
- Representation and application of fuzzy numbers
- A new approach for ranking fuzzy numbers by distance method
- Ranking fuzzy numbers with an area between the centroid point and original point.
- Ranking nonnormal \(p\)-norm trapezoidal fuzzy numbers with integral value
- On the centroids of fuzzy numbers
- Algebraic structures for fuzzy numbers from categorial point of view
- Ranking fuzzy numbers by distance minimization
- Summability Theory And Its Applications
This page was built for publication: Non-normal fuzzy number analysis in various levels using centroid method for fuzzy optimization