caa a22 4500 606160264 CHVBK 20210128100629.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s00521-014-1787-6 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1787-6 Ye Jun Department of Electrical and Information Engineering, Shaoxing University, 508 Huancheng West Road, 312000, Shaoxing, Zhejiang Province, People's Republic of China aut Trapezoidal neutrosophic set and its application to multiple attribute decision-making [Elektronische Daten] [Jun Ye] Based on the combination of trapezoidal fuzzy numbers and a single-valued neutrosophic set, this paper proposes a trapezoidal neutrosophic set, some operational rules, score and accuracy functions for trapezoidal neutrosophic numbers. Then, a trapezoidal neutrosophic number weighted arithmetic averaging (TNNWAA) operator and a trapezoidal neutrosophic number weighted geometric averaging (TNNWGA) operator are proposed to aggregate the trapezoidal neutrosophic information, and their properties are investigated. Furthermore, a multiple attribute decision-making method based on the TNNWAA and TNNWGA operators and the score and accuracy functions of a trapezoidal neutrosophic number is established to deal with the multiple attribute decision-making problems in which the evaluation values of alternatives on the attributes are represented by the form of trapezoidal neutrosophic numbers. Finally, an illustrative example about software selection is given to demonstrate the application and effectiveness of the developed method. The Natural Computing Applications Forum, 2014 Trapezoidal neutrosophic set nationallicence Score function nationallicence Accuracy function nationallicence Trapezoidal neutrosophic number weighted arithmetic averaging (TNNWAA) operator nationallicence Trapezoidal neutrosophic number weighted geometric averaging (TNNWGA) operator nationallicence Multiple attribute decision-making nationallicence Neural Computing and Applications Springer London 26/5(2015-07-01), 1157-1166 0941-0643 26:5<1157 2015 26 521 https://doi.org/10.1007/s00521-014-1787-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1787-6 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Ye Jun Department of Electrical and Information Engineering, Shaoxing University, 508 Huancheng West Road, 312000, Shaoxing, Zhejiang Province, People's Republic of China aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/5(2015-07-01), 1157-1166 0941-0643 26:5<1157 2015 26 521