Endüstri Mühendisliği Bölümü Yayın Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/279

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Author: search.filters.author.Karasakal, EsraEnd date: 2019

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Now showing 1 - 5 of 5
  • Conference Object
  • Article
    An approach for extending PROMETHEE to reflect choice behaviour of the decision maker
    (2019) Karasakal, Esra; Karasakal, Orhan; Bozkurt, Ahmet
    In this study, an approach based on PROMETHEE is developed to correctly reflect the choice behavior of the decision maker that is not explained by the utility theory. The prospect theory argues that losses have higher impact than gains. We integrate the prospect theory into PROMETHEE through defining new preference functions. The proposed approach is behaviorally realistic and tolerates some degree of intransitivities in the preferences of the decision maker. For determining the criteria weights, we utilize pairwise comparison method of Analytic Hierarchy Process. Performance of the approach is demonstrated on a university ranking problem.
  • Conference Object
    Multiple Criteria Target Classification Using Heterogeneous Sensor Data
    (2019) Karasakal, Orhan; Atıcı, Bengü; Karasakal, Esra
  • Conference Object
    Otomatik Hedef Sınıflandırma Sistemleri İçin Çok Kriterli Hedef Sınıflandırma
    (2019) Atıcı, Bengü; Karasakal, Esra; Karasakal, Orhan
  • Article
    Citation - WoS: 7
    Citation - Scopus: 10
    Bi-Objective Missile Rescheduling for a Naval Task Group With Dynamic Disruptions
    (Wiley, 2019) Karasakal, Orhan; Karasakal, Esra; Silav, Ahmet
    This paper considers the rescheduling of surface-to-air missiles (SAMs) for a naval task group (TG), where a set of SAMs have already been scheduled to intercept a set of anti-ship missiles (ASMs). In missile defense, the initial engagement schedule is developed according to the initial state of the defensive and attacking units. However, unforeseen events may arise during the engagement, creating a dynamic environment to be handled, and making the initial schedule infeasible or inefficient. In this study, the initial engagement schedule of a TG is assumed to be disrupted by the occurrence of a destroyed ASM, the breakdown of a SAM system, or an incoming new target ASM. To produce an updated schedule, a new biobjective mathematical model is formulated that maximizes the no-leaker probability value for the TG and minimizes the total deviation from the initial schedule. With the problem shown to be NP-hard, some special cases are presented that can be solved in polynomial time. We solve small size problems by the augmented epsilon-constraint method and propose heuristic procedures to generate a set of nondominated solutions for larger problems. The results are presented for different size problems and the total effectiveness of the model is evaluated.