Explicit methods for attribute weighting in multi-attribute decision-making: a review study
J Pena, G Nápoles, Y Salgueiro - Artificial Intelligence Review, 2020 - Springer
Attribute weighting is a key aspect when modeling multi-attribute decision analysis
problems. Despite the large number of proposals reported in the literature, reaching a …
problems. Despite the large number of proposals reported in the literature, reaching a …
Distance‐based multicriteria group decision‐making approach with probabilistic linguistic term sets
Probabilistic linguistic term sets (PLTSs) are an important expression for hesitant linguistic
preference information under group decision‐making circumstances. This study investigates …
preference information under group decision‐making circumstances. This study investigates …
Entropy based Pythagorean probabilistic hesitant fuzzy decision making technique and its application for fog-haze factor assessment problem
The Pythagorean probabilistic hesitant fuzzy set (PyPHFS) is an effective, generalized and
powerful tool for expressing fuzzy information. It can cover more complex and more hesitant …
powerful tool for expressing fuzzy information. It can cover more complex and more hesitant …
An innovative probabilistic hesitant fuzzy set MCDM perspective for selecting flexible packaging bags after the prohibition on single-use plastics
J Jeon, S Krishnan, T Manirathinam… - Scientific Reports, 2023 - nature.com
The probabilistic hesitant elements (PHFEs) are a beneficial augmentation to the hesitant
fuzzy element (HFE), which is intended to give decision-makers more flexibility in expressing …
fuzzy element (HFE), which is intended to give decision-makers more flexibility in expressing …
Dual hesitant fuzzy soft aggregation operators and their application in decision-making
Soft set theory acts as a fundamental tool for handling the uncertainty in the data by adding a
parameterization factor during the process as compared to fuzzy and intuitionistic fuzzy set …
parameterization factor during the process as compared to fuzzy and intuitionistic fuzzy set …
A novel clustering algorithm in a neutrosophic recommender system for medical diagnosis
Decision-making processes have been extensively used in artificial intelligence and
cognitive sciences to explain and improve individual and social perception. As one of the …
cognitive sciences to explain and improve individual and social perception. As one of the …
Grey relational analysis method for probabilistic linguistic multi-criteria group decision-making based on geometric Bonferroni mean
In practical decision-making problems, probabilistic linguistic term sets (PLTSs) are a very
useful and flexible way to represent the qualitative judgments of experts. The PLTSs also …
useful and flexible way to represent the qualitative judgments of experts. The PLTSs also …
A novel picture fuzzy linguistic aggregation operator and its application to group decision-making
The intuitionistic fuzzy set (IFS) is an effective tool to express uncertain and incomplete
cognitive information with the membership, non-membership, and hesitance degrees. The …
cognitive information with the membership, non-membership, and hesitance degrees. The …
Multi-criteria outranking methods with hesitant probabilistic fuzzy sets
J Li, J Wang - Cognitive Computation, 2017 - Springer
Due to the defects of hesitant fuzzy sets (HFSs) in the actual decision-making process, it is
necessary to add the probabilities corresponding to decision maker's preferences to the …
necessary to add the probabilities corresponding to decision maker's preferences to the …
Algorithm for probabilistic dual hesitant fuzzy multi-criteria decision-making based on aggregation operators with new distance measures
Probabilistic dual hesitant fuzzy set (PDHFS) is an enhanced version of a dual hesitant fuzzy
set (DHFS) in which each membership and non-membership hesitant value is considered …
set (DHFS) in which each membership and non-membership hesitant value is considered …