@Article{cmes.2022.018267,
AUTHOR = {D. Ajay, J. Aldring, G. Rajchakit, P. Hammachukiattikul, N. Boonsatit},
TITLE = {Sine Trigonometry Operational Laws for Complex Neutrosophic Sets and Their Aggregation Operators in Material Selection},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {130},
YEAR = {2022},
NUMBER = {2},
PAGES = {1033--1076},
URL = {http://www.techscience.com/CMES/v130n2/45965},
ISSN = {1526-1506},
ABSTRACT = {In this paper, sine trigonometry operational laws (ST-OLs) have been extended to neutrosophic sets (NSs) and the
operations and functionality of these laws are studied. Then, extending these ST-OLs to complex neutrosophic sets
(CNSs) forms the core of this work. Some of the mathematical properties are proved based on ST-OLs. Fundamental
operations and the distance measures between complex neutrosophic numbers (CNNs) based on the ST-OLs are
discussed with numerical illustrations. Further the arithmetic and geometric aggregation operators are established
and their properties are verified with numerical data. The general properties of the developed sine trigonometry
weighted averaging/geometric aggregation operators for CNNs (ST-WAAO-CNN & ST-WGAO-CNN) are proved.
A decision making technique based on these operators has been developed with the help of unsupervised criteria
weighting approach called Entropy-ST-OLs-CNDM (complex neutrosophic decision making) method. A case
study for material selection has been chosen to demonstrate the ST-OLs of CNDM method. To check the validity
of the proposed method, entropy based complex neutrosophic CODAS approach with ST-OLs has been executed
numerically and a comparative analysis with the discussion of their outcomes has been conducted. The proposed
approach proves to be salient and effective for decision making with complex information.},
DOI = {10.32604/cmes.2022.018267}
}