(Max,⊕)-transforms and genetic algorithms for fuzzy measure identification-Reference-Cited by-同舟云学术

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(Max,⊕)-transforms and genetic algorithms for fuzzy measure identification

Published:2022-12 Issue: Volume:451 Page:253-265
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Torra Vicenç^ORCID

Funder

Knut och Alice Wallenbergs Stiftelse

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference45 articles.

1. Choquet integral for record linkage;Abril;Ann. Oper. Res.,2012

2. Supervised learning using a symmetric bilinear form for record linkage;Abril;Inf. Fusion,2015

3. Defining fuzzy measures: a comparative study with genetic and gradient descent algorithms;Alavi,2008

4. Constraints preserving genetic algorithm for learning fuzzy measures with an application to ontology matching;Al Boni,2014

5. A Practical Guide to Averaging Functions;Beliakov,2016

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. $\Upsilon$-Values: Power Indices à La Orness for Nonadditive Measures;IEEE Transactions on Fuzzy Systems;2024-07

2. Representation, optimization and generation of fuzzy measures;Information Fusion;2024-06

3. An Axiomatic Definition of Non-discrete Möbius transform;Lecture Notes in Computer Science;2024

4. The transport problem for non-additive measures;European Journal of Operational Research;2023-12

5. Representation, Optimization and Generation of Fuzzy Measures;2023

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