Quantile induced heavy ordered weighted averaging operators and its application in incentive decision making

2017 ◽  
Vol 33 (3) ◽  
pp. 514-528 ◽  
Author(s):  
Pingtao Yi ◽  
Weiwei Li ◽  
Yajun Guo ◽  
Danning Zhang
Keyword(s):  
Decision Making ◽  
Weighted Averaging ◽  
Averaging Operators ◽  
Ordered Weighted Averaging ◽  
Ordered Weighted Averaging Operators

Canonical form of ordered weighted averaging operators

2020 ◽  
Vol 295 (2) ◽  
pp. 605-631
Author(s):  
LeSheng Jin ◽  
Radko Mesiar ◽  
Martin Kalina ◽  
Ronald R. Yager
Keyword(s):  
Canonical Form ◽  
Weighted Averaging ◽  
Averaging Operators ◽  
Ordered Weighted Averaging ◽  
Ordered Weighted Averaging Operators

scholarly journals Group Decision Making Based on Triangular Neutrosophic Cubic Fuzzy Einstein Hybrid Weighted Averaging Operators

Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 180 ◽  
Author(s):  
Aliya Fahmi ◽  
Fazli Amin ◽  
Madad Khan ◽  
Florentin Smarandache
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Multiple Attribute Decision Making ◽  
Aggregation Operators ◽  
Weighted Averaging ◽  
Averaging Operators ◽  
Ordered Weighted Averaging ◽  
Multiple Attribute

In this paper, a new concept of the triangular neutrosophic cubic fuzzy numbers (TNCFNs), their score and accuracy functions are introduced. Based on TNCFNs, some new Einstein aggregation operators, such as the triangular neutrosophic cubic fuzzy Einstein weighted averaging (TNCFEWA), triangular neutrosophic cubic fuzzy Einstein ordered weighted averaging (TNCFEOWA) and triangular neutrosophic cubic fuzzy Einstein hybrid weighted averaging (TNCFEHWA) operators are developed. Furthermore, their application to multiple-attribute decision-making with triangular neutrosophic cubic fuzzy (TNCF) information is discussed. Finally, a practical example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

GENERATION OF WEIGHTING TRIANGLES ASSOCIATED WITH AGGREGATION FUNCTIONS

2000 ◽  
Vol 08 (04) ◽  
pp. 417-451 ◽  
Author(s):  
T. CALVO ◽  
G. MAYOR ◽  
J. TORRENS ◽  
J. SUÑER ◽  
M. MAS ◽  
...  
Keyword(s):  
Aggregation Function ◽  
Weighted Averaging ◽  
Fractal Structures ◽  
Weighted Mean ◽  
Averaging Operators ◽  
Ordered Weighted Averaging ◽  
Aggregation Functions ◽  
Different Types ◽  
Ordered Weighted Averaging Operators

In this work, we present several ways to obtain different types of weighting triangles, due to these types characterize some interesting properties of Extended Ordered Weighted Averaging operators, EOWA, and Extended Quasi-linear Weighted Mean, EQLWM, as well as of their reverse functions. We show that any quantifier determines an EOWA operator which is also an Extended Aggregation Function, EAF, i.e., the weighting triangle generated by a quantifier is always regular. Moreover, we present different results about generation of weighting triangles by means of sequences and fractal structures. Finally, we introduce a degree of orness of a weighting triangle associated with an EOWA operator. After that, we mention some results on each class of triangle, considering each one of these triangles as triangles associated with their corresponding EOWA operator, and we calculate the ornessof some interesting examples.

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