TY - JOUR ID - 47880 TI - A Novel Approach for Solving Fuzzy Multi-Objective Zero-One Linear Programming Problems JO - International Journal of Research in Industrial Engineering JA - RIEJ LA - en SN - 2783-1337 AU - Sheikhi, H. AD - Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran Y1 - 2012 PY - 2012 VL - 1 IS - 1 SP - 42 EP - 63 KW - Fuzzy mathematical programming KW - Multi-objective zero-one linear programming KW - membership function KW - fuzzy constraint KW - Project portfolio selection DO - N2 - Fuzzy multi-objective zero-one linear programming (FMOZOLP) has many applications in various fields such as assembly line balancing, assignment, project portfolio selection and maximal covering location problems. In many of the existing methods for solving FMOZOLP problems, membership degree of different points of a fuzzy number is not considered or by performing α-cut, points with membership function more than or equal to α, are included in calculations. However, even in this case, membership degree of these points has no effect on optimal solution. In this paper, in addition to modifying defects and failures of Yu and Li method [1] in solving fuzzy zero-one linear programming problems, we develop a novel approach to solve FMOZOLP problems considering membership degree of coefficients. Finally, an illustrative example for the project portfolio selection is included to compare results obtained by the proposed approach with results obtained by the other fuzzy methods. UR - https://www.riejournal.com/article_47880.html L1 - https://www.riejournal.com/article_47880_853ba334f83551c69ab39b2e565b73df.pdf ER -