An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges
MULTIMOORA is a useful multi-criteria decision-making technique. The output of the
MULTIMOORA is a ranking obtained by aggregating the results of the ternary ranking …
MULTIMOORA is a ranking obtained by aggregating the results of the ternary ranking …
Development of prospect theory in decision making with different types of fuzzy sets: A state-of-the-art literature review
Decision making is undertaken by individuals whose perceptions for the objectives are
vague due to the dynamics of decision-making objectives, the complexity of decision-making …
vague due to the dynamics of decision-making objectives, the complexity of decision-making …
Expertise-structure and risk-appetite-integrated two-tiered collective opinion generation framework for large-scale group decision making
ZS Chen, X Zhang, RM Rodríguez… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
The generation of collective preference assessments occupies a critical position in deriving
accurate and reliable alternative rankings in the context of large-scale group decision …
accurate and reliable alternative rankings in the context of large-scale group decision …
The state-of-the-art survey on integrations and applications of the best worst method in decision making: Why, what, what for and what's next?
After the first paper regarding the Best Worst Method (BWM) was published in Omega in
2015 (J. Rezaei, Best-worst multi-criteria decision-making method, Omega 53 (2015) 49 …
2015 (J. Rezaei, Best-worst multi-criteria decision-making method, Omega 53 (2015) 49 …
A unified form of fuzzy C-means and K-means algorithms and its partitional implementation
This paper proposes as an element of novelty the Unified Form (UF) clustering algorithm,
which treats Fuzzy C-Means (FCM) and K-Means (KM) algorithms as a single configurable …
which treats Fuzzy C-Means (FCM) and K-Means (KM) algorithms as a single configurable …
Probabilistic linguistic MULTIMOORA: A multicriteria decision making method based on the probabilistic linguistic expectation function and the improved Borda rule
The probabilistic linguistic term set (PLTS) is a powerful technique in representing linguistic
evaluations of individuals or groups in the process of decision making. The aim of this paper …
evaluations of individuals or groups in the process of decision making. The aim of this paper …
Score function based on concentration degree for probabilistic linguistic term sets: an application to TOPSIS and VIKOR
Probabilistic linguistic term sets (PLTSs) can express the qualitative information of decision
makers more accurately in the complicated linguistic setting. However, the existing …
makers more accurately in the complicated linguistic setting. However, the existing …
Evaluating IoT platforms using integrated probabilistic linguistic MCDM method
Evaluating the Internet-of-Things (IoT) platforms is a crucial step in the development and
deployment process of IoT applications. It is still an open issue. In this article, evaluating the …
deployment process of IoT applications. It is still an open issue. In this article, evaluating the …
A consensus-based probabilistic linguistic gained and lost dominance score method
This paper proposes a comprehensive Multiple Criteria Group Decision Making (MCGDM)
method with probabilistic linguistic information based on a new consensus measure and a …
method with probabilistic linguistic information based on a new consensus measure and a …
Regret-rejoice two-stage multiplicative DEA models-driven cross-efficiency evaluation with probabilistic linguistic information
F Jin, Y Cai, L Zhou, T Ding - Omega, 2023 - Elsevier
As a powerful efficiency evaluation tool, cross-efficiency measurement in data envelopment
analysis (DEA) has been proverbially concerned. However, most of existing studies on cross …
analysis (DEA) has been proverbially concerned. However, most of existing studies on cross …