Search Results - "Elsisy, M. A."

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  1. 1

    Solving Interval Quadratic Programming Problems by Using the Numerical Method and Swarm Algorithms by Elsisy, M. A., El-Shorbagy, M. A., Hammad, D. A.

    Published in Complexity (New York, N.Y.) (2020)
    “…In this paper, we present a new approach which is based on using numerical solutions and swarm algorithms (SAs) to solve the interval quadratic programming…”
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    Journal Article
  2. 2

    Solving Nonlinear Fractional PDEs with Applications to Physics and Engineering Using the Laplace Residual Power Series Method by Ali, Khalid K., Abd Elbary, F. E., Abdel-Wahed, Mohamed S., Elsisy, M. A., Semary, Mourad S.

    “…The Laplace residual power series (LRPS) method uses the Caputo fractional derivative definition to solve nonlinear fractional partial differential equations…”
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    Journal Article
  3. 3

    Using Interval Operations in the Hungarian Method to Solve the Fuzzy Assignment Problem and Its Application in the Rehabilitation Problem of Valuable Buildings in Egypt by Elsisy, M. A., El Sayed, M. A., al-Sadani, A. S.

    Published in Complexity (New York, N.Y.) (2020)
    “…Assignment problem (AP) is an entrenched tool for solving engineering and management problems. The Hungarian method is always used to fathom the AP in crisp…”
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    Journal Article
  4. 4

    Performance Analysis of Fully Intuitionistic Fuzzy Multi-Objective Multi-Item Solid Fractional Transportation Model by Almotairi, Sultan, Badr, Elsayed, Elsisy, M. A., Farahat, F. A., El Sayed, M. A.

    Published in Fractal and fractional (01-07-2024)
    “…An investigation is conducted in this paper into a performance analysis of fully intuitionistic fuzzy multi-objective multi-item solid fractional transport…”
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    Journal Article
  5. 5

    Qualitative analysis of basic notions in parametric rough convex programming (parameters in the objective function and feasible region is a rough set) by Elsisy, M. A., Eid, M. H., Osman, M. S. A.

    Published in Opsearch (01-12-2017)
    “…Parametric studying of an optimization problem often yields a new insight into the optimization problem at hand. The behavior of optimal solution set is…”
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    Journal Article
  6. 6

    Efficient tumor detection in medical images using pixel intensity estimation based on nonparametric approach by Geweid, Gamal G.N., Elsisy, M.A., Faragallah, Osama S., Fazel-Rezai, Reza

    Published in Expert systems with applications (15-04-2019)
    “…•Differentiating between benign and malignant tissues based on image intensities.•Solve the topological problems, the white and the gray areas in patient's…”
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  7. 7

    Duality in the fuzzy-parametric space for fuzzy-parametric nonlinear programming problem by Osman, M. S., Abd Elazeem, A. M., Elsisy, M. A., Rashwan, M. M.

    Published in Opsearch (01-11-2018)
    “…The concepts of fuzziness and parametric analysis are of importance to treat uncertainty in mathematical model and may offer certain more viewpoints. The basic…”
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  8. 8

    A novel interactive approach for solving uncertain bi-level multi-objective supply chain model by El Sayed, M.A., Farahat, F.A., Elsisy, M.A.

    Published in Computers & industrial engineering (01-07-2022)
    “…•Novel application of bi-level multi-objective in modelling supply chain network.•Uncertain supply chain management is more factual than conventional…”
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  9. 9

    A novel algorithm for generating Pareto frontier of bi-level multi-objective rough nonlinear programming problem by M.A. Elsisy, M.A. El Sayed, Y. Abo-Elnaga

    Published in Ain Shams Engineering Journal (01-06-2021)
    “…This paper discusses a new algorithm for generating the Pareto frontier for bi-level multi-objective rough nonlinear programming problem (BL-MRNPP). In this…”
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  10. 10

    Fuzzy rough bi-level multi-objective nonlinear programming problems by Elsisy, M.A., El Sayed, M.A.

    Published in Alexandria engineering journal (01-12-2019)
    “…Fuzzy rough bi-level multi-objective nonlinear programming problem (FRBMNPP) moved toward becoming rise normally in various real applications. In this article…”
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    Journal Article
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