2022
DOI: 10.1016/j.fss.2021.03.009
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Aggregation with dependencies: Capacities and fuzzy integrals

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Cited by 11 publications
(3 citation statements)
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“…Not for large n, which is usual in the MADM, there are schemes for the numerical solving of this problem in real time. Recent studies contrary to our approach to fuzzy measure identification in the interactive MADM environment can be found in [64][65][66][67][68].…”
Section: Associated Probabilities' Identification By Pair Interaction Indexes Of Attributes and Attributes' Importance Valuesmentioning
confidence: 99%
See 1 more Smart Citation
“…Not for large n, which is usual in the MADM, there are schemes for the numerical solving of this problem in real time. Recent studies contrary to our approach to fuzzy measure identification in the interactive MADM environment can be found in [64][65][66][67][68].…”
Section: Associated Probabilities' Identification By Pair Interaction Indexes Of Attributes and Attributes' Importance Valuesmentioning
confidence: 99%
“…PFD and NFD measures reflect as pairs of expert evaluations α disc ij = (p ij , n ij ) from the interval [0,1] 2 . For our goal we selected the more convenient one [64]:…”
Section: Discrimination Q-rung Picture Linguistic Measures In Madmmentioning
confidence: 99%
“…They are defined by means of a capacity, i.e., a normalized fuzzy measure. Aggregating the criteria information by using these functions allows the decision maker to model interaction between criteria and, therefore, overcome biased effects provided by redundancy in the decision data [17], [18]. However, the drawback in such approaches lies in the parameters identification, mainly because the number of capacity coefficients exponentially increases with the number of criteria.…”
Section: Introductionmentioning
confidence: 99%