In this paper, we define triangular cubic fuzzy numbers and their operational laws. Originated on these operational laws, approximately aggregation operators, with triangular cubic fuzzy weighted arithmetic averaging operator and weighted geometric averaging operator are suggested. Expected values, score function and accuracy function of triangular cubic fuzzy numbers are defined. Founded on these, an amicable of triangular cubic fuzzy multi-criteria decision making method is proposed. By these aggregation operators, criteria values are aggregated and integrated triangular cubic fuzzy numbers of alternatives are conquered. By relating score function and accuracy function values of integrated fuzzy numbers, a positioning of the entire option set can be accomplished. An example is given to appear the achievability and convenience of the process.
Published in | Engineering Mathematics (Volume 2, Issue 1) |
DOI | 10.11648/j.engmath.20180201.11 |
Page(s) | 1-11 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
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Copyright © The Author(s), 2018. Published by Science Publishing Group |
Triangular Cubic Fuzzy Numbers, Aggregation Operators, Multi-Criteria Decision Making
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APA Style
Aliya Fahmi, Saleem Abdullah, Fazli Amin, Asad Ali, Khaista Rahman. (2018). Expected Values of Aggregation Operators on Cubic Triangular Fuzzy Number and Its Application to Multi-Criteria Decision Making Problems. Engineering Mathematics, 2(1), 1-11. https://doi.org/10.11648/j.engmath.20180201.11
ACS Style
Aliya Fahmi; Saleem Abdullah; Fazli Amin; Asad Ali; Khaista Rahman. Expected Values of Aggregation Operators on Cubic Triangular Fuzzy Number and Its Application to Multi-Criteria Decision Making Problems. Eng. Math. 2018, 2(1), 1-11. doi: 10.11648/j.engmath.20180201.11
AMA Style
Aliya Fahmi, Saleem Abdullah, Fazli Amin, Asad Ali, Khaista Rahman. Expected Values of Aggregation Operators on Cubic Triangular Fuzzy Number and Its Application to Multi-Criteria Decision Making Problems. Eng Math. 2018;2(1):1-11. doi: 10.11648/j.engmath.20180201.11
@article{10.11648/j.engmath.20180201.11, author = {Aliya Fahmi and Saleem Abdullah and Fazli Amin and Asad Ali and Khaista Rahman}, title = {Expected Values of Aggregation Operators on Cubic Triangular Fuzzy Number and Its Application to Multi-Criteria Decision Making Problems}, journal = {Engineering Mathematics}, volume = {2}, number = {1}, pages = {1-11}, doi = {10.11648/j.engmath.20180201.11}, url = {https://doi.org/10.11648/j.engmath.20180201.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.engmath.20180201.11}, abstract = {In this paper, we define triangular cubic fuzzy numbers and their operational laws. Originated on these operational laws, approximately aggregation operators, with triangular cubic fuzzy weighted arithmetic averaging operator and weighted geometric averaging operator are suggested. Expected values, score function and accuracy function of triangular cubic fuzzy numbers are defined. Founded on these, an amicable of triangular cubic fuzzy multi-criteria decision making method is proposed. By these aggregation operators, criteria values are aggregated and integrated triangular cubic fuzzy numbers of alternatives are conquered. By relating score function and accuracy function values of integrated fuzzy numbers, a positioning of the entire option set can be accomplished. An example is given to appear the achievability and convenience of the process.}, year = {2018} }
TY - JOUR T1 - Expected Values of Aggregation Operators on Cubic Triangular Fuzzy Number and Its Application to Multi-Criteria Decision Making Problems AU - Aliya Fahmi AU - Saleem Abdullah AU - Fazli Amin AU - Asad Ali AU - Khaista Rahman Y1 - 2018/05/31 PY - 2018 N1 - https://doi.org/10.11648/j.engmath.20180201.11 DO - 10.11648/j.engmath.20180201.11 T2 - Engineering Mathematics JF - Engineering Mathematics JO - Engineering Mathematics SP - 1 EP - 11 PB - Science Publishing Group SN - 2640-088X UR - https://doi.org/10.11648/j.engmath.20180201.11 AB - In this paper, we define triangular cubic fuzzy numbers and their operational laws. Originated on these operational laws, approximately aggregation operators, with triangular cubic fuzzy weighted arithmetic averaging operator and weighted geometric averaging operator are suggested. Expected values, score function and accuracy function of triangular cubic fuzzy numbers are defined. Founded on these, an amicable of triangular cubic fuzzy multi-criteria decision making method is proposed. By these aggregation operators, criteria values are aggregated and integrated triangular cubic fuzzy numbers of alternatives are conquered. By relating score function and accuracy function values of integrated fuzzy numbers, a positioning of the entire option set can be accomplished. An example is given to appear the achievability and convenience of the process. VL - 2 IS - 1 ER -