2021
DOI: 10.15587/1729-4061.2021.241916
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A novel approach for solving decision-making problems with stochastic linear-fractional models

Abstract: Stochastic chance-constrained optimization has a wide range of real-world applications. In some real-world applications, the decision-maker has to formulate the problem as a fractional model where some or all of the coefficients are random variables with joint probability distribution. Therefore, these types of problems can deal with bi-objective problems and reflect system efficiency. In this paper, we present a novel approach to formulate and solve stochastic chance-constrained linear fractional programming … Show more

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