A comprehensive study of a backlogging EOQ model with nonlinear heptagonal dense fuzzy environment
RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 1, pp. 267-286.

This paper deals with an adaptation of an application of nonlinear heptagonal dense fuzzy number. The concept of linear and as well as non-linear for both symmetric and asymmetric heptagonal dense fuzzy number is introduced here. We develop a new ranking method for non-linear heptagonal dense fuzzy number also. Considering a backorder inventory model with non-linear heptagonal dense fuzzy demand rate we have utilized a modified centroid method for defuzzification. For decision maker’s aspects, numerical examples, comparative study with other dense fuzzy numbers and a sensitivity analysis show the superiority of the nonlinear heptagonal dense fuzzy number. Finally, graphical illustrations are made to justify the model followed by a conclusion.

DOI : 10.1051/ro/2018114
Classification : 03E72, 90B50
Mots-clés : Heptagonal dense fuzzy number, centroid method, inventory problem, optimization
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     title = {A comprehensive study of a backlogging {EOQ} model with nonlinear heptagonal dense fuzzy environment},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
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Maity, Suman; Chakraborty, Avishek; De, Sujit Kumar; Mondal, Sankar Prasad; Alam, Shariful. A comprehensive study of a backlogging EOQ model with nonlinear heptagonal dense fuzzy environment. RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 1, pp. 267-286. doi : 10.1051/ro/2018114. http://www.numdam.org/articles/10.1051/ro/2018114/

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