Distance measures for interval type-2 fuzzy numbers
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Publication:499371
DOI10.1016/j.dam.2014.11.016zbMath1326.03065OpenAlexW2008643480MaRDI QIDQ499371
Yurilev Chalco-Cano, Heriberto Román-Flores, Juan Carlos Figueroa-García
Publication date: 30 September 2015
Published in: Discrete Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.dam.2014.11.016
Related Items (10)
Some distance measures for type 2 hesitant fuzzy sets and their applications to multi-criteria group decision-making problems ⋮ Representation of the Minkowski metric as a fuzzy set ⋮ Type-reduction of interval type-2 fuzzy numbers via the Chebyshev inequality ⋮ \(L\)-metric on the space of \(L\)-fuzzy numbers ⋮ A note on defuzzification of type-2 fuzzy intervals ⋮ Preface ⋮ On \(n\)-polygonal interval-valued fuzzy sets ⋮ An interval-valued fuzzy distance measure between two interval-valued fuzzy numbers ⋮ Optimal solutions for group matrix games involving interval-valued fuzzy numbers ⋮ Unnamed Item
Cites Work
- Unnamed Item
- A proposal to speed up the computation of the centroid of an interval type-2 fuzzy set
- Multi-period mixed production planning with uncertain demands: fuzzy and interval fuzzy sets approach
- H-continuity of fuzzy measures and set defuzzification
- Comparation between some approaches to solve fuzzy differential equations
- Inequality relation between fuzzy numbers and its use in fuzzy optimization
- The concept of a linguistic variable and its application to approximate reasoning. I
- Entropy, distance measure and similarity measure of fuzzy sets and their relations
- On invex fuzzy mappings and fuzzy variational-like inequalities
- A modified Hausdorff distance between fuzzy sets
- A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets
- FUZZINESS VS. PROBABILITY
- Introduction to Interval Analysis
- SIMILARITY MEASURES BETWEEN TYPE-2 FUZZY SETS
- Reasonable properties for the ordering of fuzzy quantities. I
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