TY - JOUR ID - 29744 TI - Fuzzy Goal Programming Procedures for Multi-Level Multi-Objective Linear Fractional Programming Problems JO - The International Conference on Mathematics and Engineering Physics JA - ICMEP LA - en SN - 2636-431X AU - Baky, Ibrahim A. AD - Department of Basic Sciences, Faculty of Engineering, Benha University, EL-Qalyoubia - Egypt. Y1 - 2012 PY - 2012 VL - 6 IS - International Conference on Mathematics and Engineering Physics (ICMEP-6) SP - 1 EP - 20 KW - Multi-Objective Linear Fractional Programming KW - Multi-Level Programming Problems KW - Goal Programming KW - Fuzzy Mathematical Programming KW - Fuzzy Goal Programming DO - 10.21608/icmep.2012.29744 N2 - AbstractThis paper presents two fuzzy goal programming (FGP) procedures for solving multi-level multi-objective linear fractional programming (ML-MOLFP) problems. In the proposed procedures, the membership functions for the defined fuzzy goals of all objective functions at all levels as well as the membership functions for vectors of fuzzy goals of the decision variables, controlled by decision makers at the top levels, are developed in the model formulation of the problem. Then fuzzy goal programming approach is used to achieve highest degree of each of the membership goals by minimizing their deviational variables and thereby obtaining the most satisfactory solution for all decision makers. The first proposed FGP procedure makes an extension work of Pramanik and Roy [23] and of B.B. Pal et al. [17,20]. The second proposed procedure my be seem as lexicographic methods for solving multiobjective programming problems that follows Shih et al. concept [28] but by using the FGP approach. The method of variable change on the under- and over-deviational variables of the membership goals associated with the fuzzy goals of the model is introduced to solve the problem efficiently by using linear goal programming (LGP) methodology. Illustrative numerical example is given to demonstrate the algorithms. UR - https://icmep.journals.ekb.eg/article_29744.html L1 - https://icmep.journals.ekb.eg/article_29744_beec0fdbbbf8b128295ef1d213a0abb9.pdf ER -