A New Model for Deriving the Priority Weights from Hesitant Triangular Fuzzy Preference Relations. (4th February 2019)
- Record Type:
- Journal Article
- Title:
- A New Model for Deriving the Priority Weights from Hesitant Triangular Fuzzy Preference Relations. (4th February 2019)
- Main Title:
- A New Model for Deriving the Priority Weights from Hesitant Triangular Fuzzy Preference Relations
- Authors:
- Liu, Yuan
Shen, Gongtian
Zhao, Zhangyan
Wu, Zhanwen - Other Names:
- Leyva-Lopez Juan C. Guest Editor.
- Abstract:
- Abstract : Fuzzy preference relation is a common tool to express the uncertain preference information of decision maker in the process of decision making. However, the traditional fuzzy preference relation will fail under hesitant fuzzy environment as the membership has a single value. In addition, it is very difficult to obtain the precise membership values. Therefore, a new model of fuzzy preference relation is proposed in this paper. Firstly, the concept of hesitant triangular fuzzy preference relation is defined and its properties are investigated based on the concepts of hesitant fuzzy set, hesitant triangular fuzzy set, fuzzy preference relation, and hesitant fuzzy preference relation. Then, the steps of applying this novel model are offered for the case of determining the weights of failure modes. Finally, an example is used to illustrate the proposed model.
- Is Part Of:
- Mathematical problems in engineering. Volume 2019(2019)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2019(2019)
- Issue Display:
- Volume 2019, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 2019
- Issue:
- 2019
- Issue Sort Value:
- 2019-2019-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-02-04
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2019/8586592 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10301.xml