… hybrid model called spherical fuzzy N-soft expert sets, which is an extension of spherical fuzzy
soft expert sets. … An efficient algorithm is developed to solve multi-attribute group decision-…

… model to its extreme within the soft expert framework. For achieving this, … hybrid model called
dual hesitant fuzzy soft expert sets (DHFSESs) to better handle uncertain situations in group …

… that they neglect multi-expert information. To overcome these … hybrid model called Pythagorean
fuzzy N -soft expert sets (… hybrid model, namely, Pythagorean fuzzy N -soft expert sets (…

… Rough sets are employed to extract learning rules from an expert. Genetic algorithms are …
The group indexing phase constructs a clustering index prediction model based on a …

… of picture fuzzy sets, the goal of this study is to propose a novel hybrid model called picture
fuzzy soft expert sets by combining picture fuzzy sets with soft expert sets for dealing with …

… of a new hybrid model for group decision-making, namely, bipolar soft expert sets as a
natural extension of two existing models (that is, soft expert sets and bipolar soft sets) because …

… hybrid model called m-polar fuzzy soft expert sets is developed by the combination of m-polar
fuzzy sets with soft expert sets; thus, it investigates soft expert sets … set of criteria for group …

… The hierarchical attribute can group related subattributes for easier maintenance. Moreover,
… set the threshold to 10 to check the first 10 recommendations for four different users (expert …

… disciplines are firstly partitioned into groups, and then proposal groups are assigned to
reviewers. … is(7) min u ( Z 1 ) + u ( Z 2 ) , where the weight of each objective is set as the same. …

… paper we propose the Fermatean fuzzy soft expert set model by combining Fermatean fuzzy
sets and soft expert sets. We describe this hybrid model with numerical examples. From a …