The Weighted Distance Measure Based Method to Neutrosophic Multiattribute Group Decision Making
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Neutrosophic set (NS) is a generalization of fuzzy set (FS) that is designed for some practical situations in which each element has different truth membership function, indeterminacy membership function, and falsity membership function.
In this paper, we study the multiattribute group decision making (MAGDM) problems under neutrosophic environment with the incompletely known or completely unknown attribute weight.
We first define the single-valued neutrosophic ideal solution (SVNIS) and the weighted distance measure and establish the program models to derive the attribute weights.
Then, we give a practical application in the framework of SVNS; the result shows that our method is reasonable and effective in dealing with decision making (DM) problems.
Furthermore, we extend the method to interval-valued neutrosophic set (IVNS).
American Psychological Association (APA)
Liu, Chun-Feng& Luo, Yuesheng. 2016. The Weighted Distance Measure Based Method to Neutrosophic Multiattribute Group Decision Making. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111984
Modern Language Association (MLA)
Liu, Chun-Feng& Luo, Yuesheng. The Weighted Distance Measure Based Method to Neutrosophic Multiattribute Group Decision Making. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1111984
American Medical Association (AMA)
Liu, Chun-Feng& Luo, Yuesheng. The Weighted Distance Measure Based Method to Neutrosophic Multiattribute Group Decision Making. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1111984
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1111984