International Journal of Mathematics Trends and Technology
Volume 41 | Number 5 | Year 2017 | Article Id. IJMTT-V41P543 | DOI : https://doi.org/10.14445/22315373/IJMTT-V41P543
In this paper, Fuzzy interval method is proposed to find an optimal solution for an intuitionistic fuzzy assignment problem. The fuzzy objective functions have fuzzy demand and supply coefficients, which are represented as an intuitionistic fuzzy numbers. The solution procedure is illustrated with a numerical example. The genetic algorithm can serve as an important tool for the decision making.
[1] Addison-Wesley, Mitchell ,”An introduction to Genetic Algorithm” MIT Press, (1996).
[2] Annie Varghese,M and Sunny Kuriakose,S compare the intuitionistic fuzzy numbers. Applied Mathematical Sciences, 6(47) (2000) 2345 – 2355.
[3] Fredric S. Hillier “Introduction to Mathematical Programming”, Stanford University, Mac Graw-Hill Inc. (1995).
[4] Goldberg .D.E. “Optimization and Machine Learning”, Genetic Algorithm in Search, (1989).
[5] Hussain , RJ and SenthilKumar,P .Algorithm approach for solving intuitionistic fuzzy transportation problem, Applied mathematical sciences, 6 (80), (2012), 3981- 3989
[6] Nehi, HM. A new ranking method for intuitionistic fuzzy numbers, International journal of fuzzy systems,12 (1) , (2010), 80 – 86.
[7] Patricia D. Novak, “Dorland’s Pocket Medical Dictionary” W.B. Saunders Company.
[8] Rezvani S. Ranking method of trapezoidal intuitionistic fuzzy numbers, Annals of Fuzzy Mathematics and Informatics, Volume x, No. x, (2012) 1 – xx.
[9] Thomas Dean, James Allen, “Artificial Intelligence Theory & Practice”, The Benjamin/Cumming Publishing Company Inc. Redwood City, California 94665. (1995).
B.Srinivas, B.Sankara rao, "An Optimal Solution For intuitionistic Fuzzy Assignment Problem Using Genetic Algorithm," International Journal of Mathematics Trends and Technology (IJMTT), vol. 41, no. 5, pp. 433-436, 2017. Crossref, https://doi.org/10.14445/22315373/IJMTT-V41P543
PDF 
Abstract 
Keywords 
References 
Citation