An algorithm for computing the generalized interaction index for k-maxitive fuzzy measures

Author:

Murillo Javier1,Guillaume Serge2,Sari Tewfik2,Bulacio Pilar13

Affiliation:

1. UNR, CONICET, CIFASIS-CONICET, Rosario, Argentina

2. ITAP, Univ Montpellier, INRAE, Montpellier SupAgro, Montpellier, France

3. Universidad Tecnológica Nacional, San Nicolás, Argentina

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference13 articles.

1. Learning fuzzy measures from data: Simplifications and optimisation strategies;Beliakov;Information Sciences,2019

2. k-order additive discrete fuzzy measures and their representation;Grabisch;Fuzzy Sets and Systems,1997

3. Knuth D. , The Art of Computer Programming, Volume 2: Seminumerical Algorithms, Addison-Wesley Longman Publishing Co., 1997.

4. An algebraic method and a genetic algorithm to the identification of fuzzy measures based on choquet integrals;Kochi;Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology,2014

5. Computational methods for investment portfolio: The use of fuzzy measures and constraint programming for risk management;Magoč;Foundations of Computational Intelligence,2009

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