Indexed by:
Abstract:
Trapezoidal fuzzy neutrosophic decision making plays an important role in decision-making processes with uncertain, indeterminate, and inconsistent information. In this paper, we propose a new multi-attribute decision-making method based on decision-making trial and evaluation laboratory (DEMATEL), fuzzy distance, and linear assignment method (LAM), and we express evaluation values as the trapezoidal fuzzy neutrosophic numbers (TrFNNs). First, attribute weights are obtained using the DEMATEL method and the newfuzzy distance of TrFNNs based on graded mean integration representation is defined. Then, alternatives are ranked using the LAM in operations research. In addition, we make two comparative analyses in the end to illustrate the feasibility and rationality of our method. Finally, an illustrative example about typhoon disaster assessment is presented to show the advantages of the proposed method.
Keyword:
Reprint 's Address:
Email:
Version:
Source :
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
ISSN: 1064-1246
Year: 2020
Issue: 3
Volume: 39
Page: 3413-3439
1 . 7 0 0
JCR@2023
ESI Discipline: COMPUTER SCIENCE;
ESI HC Threshold:149
CAS Journal Grade:4
Cited Count:
WoS CC Cited Count: 10
SCOPUS Cited Count: 11
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1