Aggregation of Basic Uncertain Information With Two-Step Aggregation Frame

doi:10.1109/TETCI.2023.3332557

Aggregation of Basic Uncertain Information With Two-Step Aggregation Frame

2024-04-01

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DOI：10.1109/TETCI.2023.3332557

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There exist various categories of uncertain information, and their corresponding methods of aggregation may also vary. At present, there exists a dearth of specifically tailored techniques for aggregating basic uncertain information (BUI). The present study introduces a two-step aggregation frame that is applicable to inputs of both real-valued and BUI-valued inputs. In the process of constructing such a frame, several novel notions and definitions are introduced. These comprise of extended aggregation operators with respect to a finite set and to a collection of subsets of the set, some certainty independent BUI aggregation and some certainty dependent BUI aggregation, BUI merging operators and BUI aggregation operators, BUI-valued min operator, and BUI-valued Sugeno integral. Some corresponding deductions, necessary reasoning and numerical examples are presented.

Keywords:

Uncertainty

Merging

Fuzzy sets

IEEE Senior Members

Business

Arithmetic

Weight measurement

Aggregation operator

basic uncertain information

evaluation and decision making

sugeno integral

two-step aggregation

uncertain information

Aggregation of Basic Uncertain Information With Two-Step Aggregation Frame

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