In this paper, an algorithm is proposed for obtaining the set of all optimal solutions of Fuzzy Goal Programming (FGP) problem. This algorithm fruitfully combines the quantitative techniques for solving goal programming problem given by Dauer [5], the sensitivity information given by Fiacco [1,2] and the stability notions given by Osman [7,8,9] together with the recently fuzzy techniques achieved by Dubois & Prade [3], Zimmermann [4] and Sakawa & Yano [10]. This proposed algorithm has the advantage of combining all these legitimate techniques in one and obtaining the set of all optimal solutions of the FGP model. The algorithm minimizes the computation efforts needed to finding these solutions
(1998). On an Iterative Approach to Fuzzy Goal Programming. The Egyptian International Journal of Engineering Sciences and Technology, 2(EIJEST, Vol. 2, 1998), 2-2. doi: 10.21608/eijest.1997.96468
MLA
. "On an Iterative Approach to Fuzzy Goal Programming", The Egyptian International Journal of Engineering Sciences and Technology, 2, EIJEST, Vol. 2, 1998, 1998, 2-2. doi: 10.21608/eijest.1997.96468
HARVARD
(1998). 'On an Iterative Approach to Fuzzy Goal Programming', The Egyptian International Journal of Engineering Sciences and Technology, 2(EIJEST, Vol. 2, 1998), pp. 2-2. doi: 10.21608/eijest.1997.96468
VANCOUVER
On an Iterative Approach to Fuzzy Goal Programming. The Egyptian International Journal of Engineering Sciences and Technology, 1998; 2(EIJEST, Vol. 2, 1998): 2-2. doi: 10.21608/eijest.1997.96468
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