Volume 54 | Number 5 | Year 2018 | Article Id. IJMTT-V54P544 | DOI : https://doi.org/10.14445/22315373/IJMTT-V54P544
Uncertainty can be expressed by fuzzy numbers. Some fuzzy numbers are triangular and trapezoidal. Although it is easy to perform calculations on them, they are not flexible enough to show the uncertainty. Bell shape fuzzy numbers are very flexible. However, it is very difficult to conduct arithmetic operations on them. In this paper, a new bell shape fuzzy number has been developed. The new fuzzy number looks like a bell. Then, arithmetic operations have been defined for the new fuzzy number. Also, it has been proven that the ranking of the new fuzzy number can be done successfully. The above mentioned operations and the ranking method of the new fuzzy number have been described by some examples. The new fuzzy number is more flexible compared to triangular and trapezoidal ones. Also, arithmetic calculation of the new fuzzy number is much simpler than that of a bell shape fuzzy number.
[1] Soltani, A. and Haji, R. A project scheduling method based on fuzzy theory, Journal of Industrial and Systems Engineering, 1(1), 2007, 70-80.
[2] Hashemin, S. S. and Fatemi Ghomi, S.M. T. A hybrid method to find cumulative distribution function of completion time of GERT networks. J Ind Eng Int, 1(1), 2005, 1-9.
[3] Hashemin, S. S. Fuzzy completion time for alternative stochastic networks. Journal of Industrial Engineering International, 6(11), 2010, 17-22.
[4] Hashemin, S. S. Constrained Resource Allocation in fuzzy Metagraph, 10th Iranian conference on fuzzy Systems, Shahid Beheshti University, 2010, 1-5.
[5] Hashemin, S. S. Constrained Renewable Resource Allocation in fuzzy Metagraphs via Min-Slack. International Journal of Applied Operational Research, 1(1), 2010, 7-17.
[6] Hashemin, S. S. Time Cost Trade-Off in Uncertain Metagraphs with Trapezoidal Fuzzy Edge Time. Annals of Fuzzy Logic and Fuzzy System. 1(2), 2011, 117-127.
[7] Vahedi, H. and Hashemin, S. S. A New Method for Allocation of Constrained Non-Renewable Resource in Fuzzy Metagraphs. International Journal of Industrial Engineering, 2(3), 2015, 14-19.
[8] Chen, L. H., and Lu, H. W. An approximate approach for ranking fuzzy numbers based on left and right dominance, International Journal of Computers and Mathematics with Applications, 41(12), 1589-1602.
[9] Y. Lai and C. Hwang, Fuzzy mathematical programming methods and application (New York: Springer-Verlag,1992).
Navid Bagheri, Seyed Saeid Hashemin, "A New Bell Shape Fuzzy Number," International Journal of Mathematics Trends and Technology (IJMTT), vol. 54, no. 5, pp. 377-382, 2018. Crossref, https://doi.org/10.14445/22315373/IJMTT-V54P544