This paper is published in Volume-4, Issue-2, 2018
Area
Intuitionistic Fuzzy Linear Programming
Author
Dr. AL. Nachammai, Dr. M. Dhavamani, Dr. B. Usha
Org/Univ
Kongu Engineering College, Perudurai, Tamil Nadu, India
Keywords
Fuzzy Linear Programming, Intuitionistic Fuzzy Linear Programming, Triangular Intuitionistic Fuzzy Number, Ranking Methods.
Citations
IEEE
Dr. AL. Nachammai, Dr. M. Dhavamani, Dr. B. Usha. A Comparative Study of the Methods of Solving Intuitionistic Fuzzy Linear Programming Problem, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Dr. AL. Nachammai, Dr. M. Dhavamani, Dr. B. Usha (2018). A Comparative Study of the Methods of Solving Intuitionistic Fuzzy Linear Programming Problem. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.
MLA
Dr. AL. Nachammai, Dr. M. Dhavamani, Dr. B. Usha. "A Comparative Study of the Methods of Solving Intuitionistic Fuzzy Linear Programming Problem." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.
Dr. AL. Nachammai, Dr. M. Dhavamani, Dr. B. Usha. A Comparative Study of the Methods of Solving Intuitionistic Fuzzy Linear Programming Problem, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Dr. AL. Nachammai, Dr. M. Dhavamani, Dr. B. Usha (2018). A Comparative Study of the Methods of Solving Intuitionistic Fuzzy Linear Programming Problem. International Journal of Advance Research, Ideas and Innovations in Technology, 4(2) www.IJARIIT.com.
MLA
Dr. AL. Nachammai, Dr. M. Dhavamani, Dr. B. Usha. "A Comparative Study of the Methods of Solving Intuitionistic Fuzzy Linear Programming Problem." International Journal of Advance Research, Ideas and Innovations in Technology 4.2 (2018). www.IJARIIT.com.
Abstract
Ranking Intuitionistic Fuzzy Numbers plays an important role in decision making and information systems. Many researchers have proposed different ranking functions, score functions and signed functions for ranking Intuitionistic Fuzzy Numbers but unfortunately every method produces some anti-intuitive results in certain places. In this paper we compare different methods of ranking of Intuitionistic Fuzzy Number to solve Intuitionistic Fuzzy Linear Programming.