Quadrant Fuzzy Number and its Arithmetic Operations

2019 ◽  
Vol 10 (7) ◽  
pp. 1466-1475
Author(s):  
B. Rama ◽  
G. Michael Rosario
2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Rasoul Saneifard ◽  
Rahim Saneifard

This paper presents a new method for evaluating the efficiency of school preceptors based on fuzzy number arithmetic operations. It uses fuzzy numbers to represent fuzzy grades. The fuzzy weights of criteria are automatically generated from the opinions of evaluators. The simplified fuzzy number arithmetic operations are used for calculating the average of fuzzy numbers. It can evaluate the efficiency of school preceptors in a more flexible and more intelligent manner.


2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Sankar Prasad Mondal ◽  
Adrijit Goswami ◽  
Sujit Kumar De

In this paper we introduce the different arithmetic operations on nonlinear intuitionistic fuzzy number (NIFN). All the arithmetic operations are done by max-min principle method which is nothing but the application of interval analysis. We also define the nonlinear intuitionistic fuzzy function which is used for finding the values, ambiguities, and ranking of nonlinear intuitionistic fuzzy number. The de-i-fuzzification of the corresponding intuitionistic fuzzy solution is done by average of (α,β)-cut method. Finally we solve integral equation with NIFN by the help of intuitionistic fuzzy Laplace transform method.


2006 ◽  
Vol 56 (2) ◽  
pp. 251-257 ◽  
Author(s):  
Deng Yong ◽  
◽  
Shen Cheng

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