Learning \(k\)-maxitive fuzzy measures from data by mixed integer programming
From MaRDI portal
Publication:2048756
DOI10.1016/j.fss.2020.04.015zbMath1467.28012OpenAlexW3022309675MaRDI QIDQ2048756
Publication date: 23 August 2021
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2020.04.015
Mixed integer programming (90C11) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Fuzzy measure theory (28E10)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- A characterization of the 2-additive Choquet integral through cardinal information
- Construction of aggregation functions from data using linear programming
- \(k\)-intolerant capacities and Choquet integrals
- Some characterizations of lower probabilities and other monotone capacities through the use of Möbius inversion
- Improved feature selection and classification by the 2-additive fuzzy measure
- The application of fuzzy integrals in multicriteria decision making
- \(k\)-order additive discrete fuzzy measures and their representation
- Generalizations of \(k\)-order additive discrete fuzzy measures
- Tolerant or intolerant character of interacting criteria in aggregation by the Choquet integral.
- Determination of weights of interacting criteria from a reference set
- \(k\)-maxitive fuzzy measures: a scalable approach to model interactions
- Nonadditivity index and capacity identification method in the context of multicriteria decision making
- Nonmodularity index for capacity identifying with multiple criteria preference information
- Compromise principle based methods of identifying capacities in the framework of multicriteria decision analysis
- Absorbent tuples of aggregation operators
- A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: applications of the Kappalab R package
- Using the monotone measure sum to enrich the measurement of the interaction of multiple decision criteria
- k–ORDER ADDITIVE FUZZY MEASURES
- THE USE OF THE DISCRETE SUGENO INTEGRAL IN DECISION-MAKING: A SURVERY
- Two kinds of explicit preference information oriented capacity identification methods in the context of multicriteria decision analysis
- The sum interaction indices of some particular families of monotone measures
- Aggregation Operators Defined by k-Order Additive/Maxitive Fuzzy Measures
This page was built for publication: Learning \(k\)-maxitive fuzzy measures from data by mixed integer programming
