A q-rung orthopair fuzzy decision-making framework considering experts trust relationships and psychological behavior: An application to green supplier selection
The selection of an optimal supplier is a critical and open challenge in supply chain management. While experts' assessments significantly influence the supplier selection process, their subjective interactions can introduce unpredictable uncertainty. Existing methods have limitations...
Main Authors: | Garima Bisht, A. K. Pal |
---|---|
Format: | Article |
Language: | English |
Published: |
Growing Science
2024-01-01
|
Series: | Decision Science Letters |
Online Access: | http://www.growingscience.com/dsl/Vol13/dsl_2023_61.pdf |
Similar Items
-
q-Rung orthopair fuzzy hypersoft ordered aggregation operators and their application towards green supplier
by: Salma Khan, et al.
Published: (2023-02-01) -
On q-Rung Orthopair Fuzzy Subgroups
by: Asima Razzaque, et al.
Published: (2022-01-01) -
A novel TODIM based on prospect theory to select green supplier with q-rung orthopair fuzzy set
by: Xiaoli Tian, et al.
Published: (2021-04-01) -
Power equipment supplier evaluation under a q-rung orthopair fuzzy set based decision making model
by: Jiawei Mao, et al.
Published: (2024-11-01) -
Soft Rough q-Rung Orthopair m-Polar Fuzzy Sets and q-Rung Orthopair m-Polar Fuzzy Soft Rough Sets and Their Applications
by: Jingshui Ping, et al.
Published: (2021-01-01)