Quadratic Interpolation Technique to Minimize Univariable Fuzzy Functions-Reference-Cited by-同舟云学术

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Quadratic Interpolation Technique to Minimize Univariable Fuzzy Functions

Published:2015-12-15 Issue:2 Volume:3 Page:527-547
ISSN:2349-5103
Container-title:International Journal of Applied and Computational Mathematics
language:en
Short-container-title:Int. J. Appl. Comput. Math

Author:

Ghosh Debdas,Chakraborty Debjani

Funder

Outstanding Potential for Excellence in Research and Academics Award, Research Initiation Grant, BITS Pilani, Hyderabad Campus

Research Initiation Grant, BITS Pilani, Hyderabad Campus

Department of Science and Technology, Government of India

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Link

http://link.springer.com/content/pdf/10.1007/s40819-015-0123-x.pdf

Reference52 articles.

1. Bellman, R.E., Zadeh, L.A.: Decision making in a fuzzy environment. Manag. Sci. 17, B141–B164 (1970)

2. Chalco-Cano, Y., Silva, G.N., Rufian-Lizana, A.: On the Newton method for solving fuzzy optimization problems. Fuzzy Sets Syst. 272, 60–69 (2015)

3. Lai, Y.-J., Hwang, C.-L.: Fuzzy Mathematical Programming: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, vol. 394. Springer, New York (1992)

4. Lai, Y.-J., Hwang, C.-L.: Fuzzy Multiple Objective Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, vol. 404. Springer, New York (1994)

5. Lodwick, W. A., Kacprzyk, J.: Fuzzy Optimization: Recent Advances and Applications. Studies in Fuzziness and Soft Computing, vol. 254. Physica-Verlag, New York (2010)

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