Analysis of risk priorities for renewable energy investment projects using a hybrid IT2 hesitant fuzzy decision-making approach with alpha cuts
The aim of this study is to identify significant risks for the renewable energy investment
projects. In this regard, a novel hybrid multi-criteria decision-making (MCDM) model has …
projects. In this regard, a novel hybrid multi-criteria decision-making (MCDM) model has …
Score-HeDLiSF: A score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions: An application to unbalanced hesitant …
Abstract The Hesitant Fuzzy Linguistic Term Set (HFLTS) is a powerful tool to depict experts'
cognitive complex linguistic information. This paper aims to propose a new score function of …
cognitive complex linguistic information. This paper aims to propose a new score function of …
A novel alpha-level sets based fuzzy DEMATEL method considering experts' hesitant information
Fuzzy DEMATEL method is diffusely employed to analyze the interrelationship among
factors in various fields under uncertain and fuzzy environment. In the extant fuzzy …
factors in various fields under uncertain and fuzzy environment. In the extant fuzzy …
[HTML][HTML] An overview of applications of hesitant fuzzy linguistic term sets in supply chain management: the state of the art and future directions
FR Lima-Junior, MEB Oliveira, CHL Resende - Mathematics, 2023 - mdpi.com
Supply chain management (SCM) encompasses a wide variety of decision-making
problems that affect business and supply chain performance. Since most of these problems …
problems that affect business and supply chain performance. Since most of these problems …
Assessment of renewable energy sources for smart cities' demand satisfaction using multi-hesitant fuzzy linguistic based choquet integral approach
With a sheer commitment to reduce carbon footprint, India refined its strategy towards
meeting energy demands by adopting renewable energy policies in smart cities. In an event …
meeting energy demands by adopting renewable energy policies in smart cities. In an event …
Risk assessment of electric vehicle supply chain based on fuzzy synthetic evaluation
Y Wu, W Jia, L Li, Z Song, C Xu, F Liu - Energy, 2019 - Elsevier
In recent years, electric vehicles have witnessed rapid development. However, with the
characteristic of numerous complexity links, there are many uncertainties exist in the supply …
characteristic of numerous complexity links, there are many uncertainties exist in the supply …
Hesitancy degree-based correlation measures for hesitant fuzzy linguistic term sets and their applications in multiple criteria decision making
The hesitant fuzzy linguistic term set (HFLTS) turns out to be useful in representing people's
hesitant qualitative information. The aim of this paper is to investigate new correlation …
hesitant qualitative information. The aim of this paper is to investigate new correlation …
Multiattribute group decision‐making based on linguistic Pythagorean fuzzy interaction partitioned Bonferroni mean aggregation operators
The partitioned Bonferroni mean (PBM) operator can efficiently aggregate inputs, which are
divided into parts based on their interrelationships. To date, it has not been used to …
divided into parts based on their interrelationships. To date, it has not been used to …
Evaluation of startup companies using multicriteria decision making based on hesitant fuzzy linguistic information envelopment analysis models
Evaluating startup companies is an important management process for technology business
incubators and it is also a typical multicriteria decision‐making (MCDM) problem. There exist …
incubators and it is also a typical multicriteria decision‐making (MCDM) problem. There exist …
Unbalanced double hierarchy linguistic term set: The TOPSIS method for multi-expert qualitative decision making involving green mine selection
The double hierarchy linguistic term set is a linguistic technique to elaborately and
accurately represent complex linguistic information for qualitative decision-making …
accurately represent complex linguistic information for qualitative decision-making …