Projection based regret theory on three-way decision model in probabilistic interval-valued q-rung orthopair hesitant fuzzy set and its application to medicine company

Hesitant and uncertain linguistics based executive decision making using risk and regret aversion: Methods, implementation and analysis

“…More projection-based regret theory methods were introduced fairly recently, owing to their superior real-life applicability to solve appropriate problems of significant importance. E.g., authors of [31] introduced a sophisticated decision-making framework tailored for uncertain situations in medicine company contexts, where information is often vague and ambiguous. Leveraging Three-way decision (3WD) methods and interval fuzzy information, it introduces the Probabilistic Interval-Valued q-Rung Orthopair Hesitant Fuzzy Set (PIVq-ROHFS) to enhance fault-tolerance and validate decision-maker evaluations.…”

Extension of simple multi-attribute rating technique in uncertainty environment for 5G industry evaluation: Egyptian new administrative capital as a case study

“…For showing the advantage of a neutrosophic set in handling vague and ambiguous information [ 20 ], we present the SMART method in the neutrosophic environment for the first time to evaluate the 5G industry. Despite the important rule of MCDM [ [21] , [22] , [23] , [24] , [25] , [26] ] techniques, the traditional SMART cannot deal perfectly with uncertain data, so we integrated the SMART technique with the neutrosophic numbers. The SMART approach is utilized to collect data and information comprising a variety of aspects and attributes [ 27 ].…”

A novel group decision making method based on CoCoSo and interval-valued Q-rung orthopair fuzzy sets

“…Based on the above models, there are many extension models such as picture fuzzy set 26 , 27 , complex fuzzy set, fuzzy soft set 28 and their extensions 29 – 37 . The current research on IVq-ROFS mainly focuses on the aggregation operators 38 – 40 , information measures 41 – 43 , extended IVq-ROFS 44 – 46 , MADM methods 47 – 49 .…”