Multi-level multi-objective linear fractional programming problem: a solution approach
by Suvasis Nayak; Sujit Maharana; Rashmi Ranjan Ota
International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO), Vol. 13, No. 1, 2023

Abstract: In this paper, a multi-level multi-objective linear fractional programming problem (ML-MOLFPP) which arises in hierarchical organisations is solved by two proposed methods based on goal programming approach and certain linear functions. These methods deal with two different situations of cooperative and non-cooperative DMs respectively. Each level comprises several objectives as fraction of affine functions. All the numerator and denominator functions belonging to a certain level are combined to construct two new functions using their relative best and worst values. It implements the concept to maintain farthest distance from the worst values so as to be at a shortest distance from the best values or vice-versa. Goal programming approach using reduction of under deviations from the aspiration level generates the best compromise solution of the whole problem. Two illustrative numerical examples including a comparison with an existing method are presented to demonstrate the proposed methods.

Online publication date: Mon, 19-Dec-2022

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