Sustainable supply chain and business performance: The impact of strategy, network design, information systems, and organizational structure
Technological advancement and the highly competitive nature of business have forced
organizations to use multiple strategies to streamline their business operations. Current …
organizations to use multiple strategies to streamline their business operations. Current …
Picture fuzzy Maclaurin symmetric mean operators and their applications in solving multiattribute decision‐making problems
K Ullah - Mathematical Problems in Engineering, 2021 - Wiley Online Library
To evaluate objects under uncertainty, many fuzzy frameworks have been designed and
investigated so far. Among them, the frame of picture fuzzy set (PFS) is of considerable …
investigated so far. Among them, the frame of picture fuzzy set (PFS) is of considerable …
The q-rung fuzzy LOPCOW-VIKOR model to assess the role of unmanned aerial vehicles for precision agriculture realization in the Agri-Food 4.0 era
Smart agriculture is gaining a lot of attention recently, owing to technological advancement
and promotion of sustainable habits. Unmanned aerial vehicles (UAVs) play a crucial role in …
and promotion of sustainable habits. Unmanned aerial vehicles (UAVs) play a crucial role in …
Sustainable supply chain, digital transformation, and blockchain technology adoption in the tourism sector
M Sarfraz, KF Khawaja, H Han… - Humanities and Social …, 2023 - nature.com
This paper seeks to examine the influence of sustainable supply chain strategy (SSCS) on
sustainable competitive advantage (SCA) by considering the mediating role of blockchain …
sustainable competitive advantage (SCA) by considering the mediating role of blockchain …
Complex T-spherical fuzzy aggregation operators with application to multi-attribute decision making
In this paper, the novel approach of complex T-spherical fuzzy sets (CTSFSs) and their
operational laws are explored and also verified with the help of examples. CTSFS composes …
operational laws are explored and also verified with the help of examples. CTSFS composes …
Some generalized q‐rung orthopair fuzzy Einstein interactive geometric aggregation operators with improved operational laws
The q‐rung orthopair sets (q‐ROFSs) is an extended version of conventional orthopair fuzzy
sets, such as intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). The most …
sets, such as intuitionistic fuzzy sets (IFSs) and Pythagorean fuzzy sets (PFSs). The most …
TOPSIS method based on correlation coefficient under pythagorean fuzzy soft environment and its application towards green supply chain management
RM Zulqarnain, XL **n, I Siddique, W Asghar Khan… - Sustainability, 2021 - mdpi.com
The correlation coefficient between two variables is an important aspect of statistics. The
accuracy of assessments of correlation relies on information from a set of discourses. Data …
accuracy of assessments of correlation relies on information from a set of discourses. Data …
Linear Diophantine fuzzy Einstein aggregation operators for multi‐criteria decision‐making problems
The linear Diophantine fuzzy set (LDFS) has been proved to be an efficient tool in
expressing decision maker (DM) evaluation values in multicriteria decision‐making (MCDM) …
expressing decision maker (DM) evaluation values in multicriteria decision‐making (MCDM) …
Knowledge measure for the q‐rung orthopair fuzzy sets
The q‐rung orthopair fuzzy set (qROFS) defined by Yager is a generalization of Atanassov
intuitionistic fuzzy set and Pythagorean fuzzy sets. In this paper, we define the knowledge …
intuitionistic fuzzy set and Pythagorean fuzzy sets. In this paper, we define the knowledge …
Novel approach for third-party reverse logistic provider selection process under linear Diophantine fuzzy prioritized aggregation operators
Aggregation operators are fundamental concept for information fusion in real-life problems.
Many researchers developed aggregation operators for multi-criteria decision-making …
Many researchers developed aggregation operators for multi-criteria decision-making …