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Listar por palabra clave "Fuzzy techniques"

Mostrando ítems 1-5 de 5

A Fuzzy Simheuristic for the Permutation Flow Shop Problem under Stochastic and Fuzzy Uncertainty

Castaneda, Juliana; Martín, Xabier A.; Ammouriova, Majsa; Panadero, Javier; Juan, Angel A. (MDPI AG, 2022-05)

[EN] Stochastic, as well as fuzzy uncertainty, can be found in most real-world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging. In this paper, we analyze ...
Fuzzy Simheuristics for Optimizing Transportation Systems: Dealing with Stochastic and Fuzzy Uncertainty

Tordecilla, Rafael D.; Martins, Leandro do C.; Panadero, Javier; Copado, Pedro J.; Pérez Bernabeu, Elena; Juan, Angel A. (MDPI AG, 2021-09)

[EN] In the context of logistics and transportation, this paper discusses how simheuristics can be extended by adding a fuzzy layer that allows us to deal with complex optimization problems with both stochastic and fuzzy ...
Job classification for the purpose of making optimal decisions concerning management control

Peris-Ortiz, Marta; Rueda Armengot, Carlos; Gil Pechuán, Ignacio (Wiley-Blackwell: No OnlineOpen, 2012)

The job classification literature has been dominated by a micro-level orientation reflective of the needs of specialists in human resources. In contrast, we take a multidisciplinary approach involving both micro- and ...
Solution Approaches for the Management of the Water Resources in Irrigation Water Systems with Fuzzy Costs

Sanchis, R.; Díaz-Madroñero Boluda, Francisco Manuel; López Jiménez, Petra Amparo; Pérez-Sánchez, Modesto (MDPI AG, 2019-11-20)

[EN] Currently, the management of water networks is key to increase their sustainability. This fact implies that water managers have to develop tools that ease the decision-making process in order to improve the efficiency ...
Solving the time capacitated arc routing problem under fuzzy and stochastic travel and service times

Martín, Xabier A.; Panadero, Javier; Peidro Payá, David; Pérez Bernabeu, Elena; Juan, Angel A. (John Wiley & Sons, 2023-12)

[EN] Stochastic, as well as fuzzy uncertainty, can be found in most real-world systems. Considering both types of uncertainties simultaneously makes optimization problems incredibly challenging. In this paper we propose a ...