• KOWSALYA S
• S Johnson Savarimuthu

ABSTRACT: In this paper proposes a decision making system of multiple attributes with generalized fuzzy number (GFNS). In one of the method to calculate the distance between GFNS using the Hausdorff distance. Based on maximization deviation degree, the weight of the attribute are calculated by a linear programming model. In addition, linguistic variables are using a process of alternative on qualitative attributes to fuzzy ratings and ranking alternatives rank formula which changed degree of possibility is adopted. Introduces a numerical example validate the proposed model, and the arise suggest that the proposed model offer’s an efficient and realistic way to meet the different assessment criteria of decision – makers then a numerical examples is established to implement process of the technique.

Keywords: multi-attribute decision making; generalized fuzzy number; Housdorff distance modified possibility degree Fuzzy Linear Programming for fuzzy number, linguistic variables.

"GENERALIZIED FUZZY NUMBERS USING FUZZY LINEAR PROGRAMMING AND MULTI-ATTRIBUTE DECISION MAKING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.92-98, August-2020, Available :http://www.jetir.org/papers/JETIR2008316.pdf

"GENERALIZIED FUZZY NUMBERS USING FUZZY LINEAR PROGRAMMING AND MULTI-ATTRIBUTE DECISION MAKING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp92-98, August-2020, Available at : http://www.jetir.org/papers/JETIR2008316.pdf