A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection
Joint Authors
Tian, Xiaoli
Niu, Meiling
Ma, Jiangshui
Xu, Zeshui
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-26, 26 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-12
Country of Publication
Egypt
No. of Pages
26
Main Subjects
Abstract EN
TODIM is a well-known multiple-criteria decision-making (MCDM) which considers the bounded rationality of decision makers (DMs) based on prospect theory (PT).
However, in the classical TODIM, the perceived probability weighting function and the difference of the risk attitudes for gains and losses are not consistent with the original idea of PT.
Moreover, probabilistic hesitant fuzzy information shows its superiority in handling the situation that the DMs hesitate among several possible values with different possibilities.
Hence, a novel TODIM with probabilistic hesitant fuzzy information is proposed in this paper to simulate the perceptions of the DMs in PT.
To show the advantages of the proposed method, a novel TODIM is combined with hesitant fuzzy information.
Finally, a case study is carried out to demonstrate the feasibility of the proposed method, and a series of comparative analyses and the sensitivity analyses are used to show the stability of the proposed method.
American Psychological Association (APA)
Tian, Xiaoli& Niu, Meiling& Ma, Jiangshui& Xu, Zeshui. 2020. A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection. Complexity،Vol. 2020, no. 2020, pp.1-26.
https://search.emarefa.net/detail/BIM-1141074
Modern Language Association (MLA)
Tian, Xiaoli…[et al.]. A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection. Complexity No. 2020 (2020), pp.1-26.
https://search.emarefa.net/detail/BIM-1141074
American Medical Association (AMA)
Tian, Xiaoli& Niu, Meiling& Ma, Jiangshui& Xu, Zeshui. A Novel TODIM with Probabilistic Hesitant Fuzzy Information and Its Application in Green Supplier Selection. Complexity. 2020. Vol. 2020, no. 2020, pp.1-26.
https://search.emarefa.net/detail/BIM-1141074
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141074