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A Systematic Review on Fuzzy-Based Multi-objective Linear programming Methodologies: Concepts, Challenges and Applications

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Abstract

This systematic review aims to evaluate the efficacy of fuzzy multi-objective optimization techniques in supporting decision-making in financial portfolio management under conditions of uncertainty. The review will critically appraise and compare different approaches to identify the most suitable technique for addressing the challenges posed by uncertain environments. Specifically, the review will investigate the use of mathematical models to find the optimal balance between competing objectives, such as maximizing return while minimizing risk, and provide a range of possible solutions based on different levels of uncertainty. Real-life decision-making scenarios involving the selection of investment options, such as stocks, bonds, mutual funds, or real estate, in the face of economic instability, political unrest, or natural disasters will be examined to provide practical insights. Through this review, we aim to contribute to the body of knowledge regarding effective strategies for financial portfolio management under conditions of uncertainty.

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Authors and Affiliations

  1. Department of Mathematics, Lovely Professional University, Phagwara, [unjab, 144411, India

    Pinki Gulia & Rakesh Kumar

  2. Business Information Technology Division, Department of Statistics, Faculty of Commerce and Accountancy, Chulalongkorn University, Bangkok, Thailand

    Wattana Viriyasitavat

  3. College of Computer Science and Engineering, University of Ha’il, Hail, Saudi Arabia

    Arwa N. Aledaily & Kusum Yadav

  4. Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, 248002, India

    Amandeep Kaur

  5. Department of Electrical and Computer Engineering, Lebanese American University, Byblos, Lebanon

    Gaurav Dhiman

  6. University Centre for Research and Development, Department of Computer Science and Engineering, Chandigarh University, Gharuan, Mohali, 140413, India

    Amandeep Kaur & Gaurav Dhiman

  7. Division of Research and Development, Lovely Professional University, Phagwara, India

    Gaurav Dhiman

  8. Department of Computer Science, Government Bikram College of Commerce, Patiala, India

    Gaurav Dhiman

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  1. Pinki Gulia
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  2. Rakesh Kumar
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  3. Wattana Viriyasitavat
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  4. Arwa N. Aledaily
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Gulia, P., Kumar, R., Viriyasitavat, W. et al. A Systematic Review on Fuzzy-Based Multi-objective Linear programming Methodologies: Concepts, Challenges and Applications. Arch Computat Methods Eng 30, 4983–5022 (2023). https://doi.org/10.1007/s11831-023-09966-1

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