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Aggregation of Basic Uncertain Information With Two-Step Aggregation Frame
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AI
DOI：10.1109/TETCI.2023.3332557.png)
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摘要
En 中文
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.
Keyword:
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
期刊
I
IF:
6.5
论文数:
1.4K
被引数:
4.5K
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