
Abstract In the current study, a neutrosophic quadratic fractional programming (NQFP) problem is investigated using a new method. The NQFP problem is converted into the corresponding quadratic fractional programming (QFP) problem. The QFP is formulated by using the score function and hence it is converted to the linear programming problem (LPP) using the Taylor series, which can be solved by LPP techniques or software (e.g., Lingo). Finally, an example is given for illustration.
Social Sciences, Geometry, Multi-Criteria Decision Making, Management Science and Operations Research, Quadratic programming, Mathematical analysis, Quantum mechanics, Quantum, Multi-Objective Transportation Problem Optimization, Decision Sciences, quadratic fractional programming, Engineering, Nonlinear programming, Linear programming, Quantum computer, taylor series, FOS: Mathematics, Taylor series, Series (stratigraphy), Fractional programming, Biology, Physics, trapezoidal neutrosophic numbers, Sequential quadratic programming, Mathematical optimization, Quadratic equation, Paleontology, linear programming, Engineering (General). Civil engineering (General), Applied mathematics, Computer science, Control and Systems Engineering, Physical Sciences, neutrosophic set, Nonlinear system, TA1-2040, Linear Fractional Programming, Mathematics, Quadratic unconstrained binary optimization
Social Sciences, Geometry, Multi-Criteria Decision Making, Management Science and Operations Research, Quadratic programming, Mathematical analysis, Quantum mechanics, Quantum, Multi-Objective Transportation Problem Optimization, Decision Sciences, quadratic fractional programming, Engineering, Nonlinear programming, Linear programming, Quantum computer, taylor series, FOS: Mathematics, Taylor series, Series (stratigraphy), Fractional programming, Biology, Physics, trapezoidal neutrosophic numbers, Sequential quadratic programming, Mathematical optimization, Quadratic equation, Paleontology, linear programming, Engineering (General). Civil engineering (General), Applied mathematics, Computer science, Control and Systems Engineering, Physical Sciences, neutrosophic set, Nonlinear system, TA1-2040, Linear Fractional Programming, Mathematics, Quadratic unconstrained binary optimization
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