Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jose L. Verdegay"'
Publikováno v:
Computer Science Journal of Moldova, Vol 10, Iss 1(28), Pp 9-27 (2002)
In this paper some problems arising in the interface between two different areas, Decision Support Systems and Fuzzy Sets and Systems, are considered. The Model-Base Management System of a Decision Support System which involves some fuzziness is cons
Externí odkaz:
https://doaj.org/article/d7c7b0935eb04d64b971a9292d74fca9
Publikováno v:
Software: Practice and Experience.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1d22ab4ba4782fb3190c535c4a639d7
https://doi.org/10.1002/spe.984
https://doi.org/10.1002/spe.984
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540009764
EvoWorkshops
EvoWorkshops
We show here how FANS, a fuzzy sets-based heuristic, is applied to a particular case of the Molecular Structure Matching problem: given two molecules A (the pattern) and B (the target) we want to find a subset of points of B whose set of intra-atomic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b60617c8f5a759228c53bc13c6d5217d
https://doi.org/10.1007/3-540-36605-9_2
https://doi.org/10.1007/3-540-36605-9_2
Systems Self-Assembly is the only book to showcase state-of-the-art self-assembly systems that arise from the computational, biological, chemical, physical and engineering disciplines. Written by world experts in each area, it provides a coherent, in
Autor:
Pablo J. Villacorta, José L. Verdegay
Publikováno v:
Journal of Statistical Software, Vol 71, Iss 1, Pp 1-27 (2016)
Markov chains are well-established probabilistic models of a wide variety of real systems that evolve along time. Countless examples of applications of Markov chains that successfully capture the probabilistic nature of real problems include areas as
Externí odkaz:
https://doaj.org/article/3c71fabdd2f04b1caf497cf0140cbe28
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 9, Iss 4 (2016)
Several real-world situations can be modeled as maximal covering location problem (MCLP), which is focused on finding the best locations for a certain number of facilities that maximizes the coverage of demand nodes located within a given exact cover
Externí odkaz:
https://doaj.org/article/1d987430e3fd433897f44efc6ba21b95
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 8, Iss 4 (2015)
The Truck and Trailer Routing Problem consists of a heterogeneous fleet composed of trucks and trailers to serve a set of customers. This problem has been solved previously considering accurate data available. But in a real-world the available knowle
Externí odkaz:
https://doaj.org/article/966db33657974d1aba7a75127a8764d9
Conference
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