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Combining numerous input arguments, specially in case most arguments lie in a concentrate region, is a complex issue. This chapter proposes to partition the input domain on the basis of the concentrate region, which can then be tackled based on the sub regions. Furthermore, two bi-variate aggregation functions are proposed, which aim to behave differently in response to the corresponding sub-regions. The bi-variate functions are extended further into multivariate functions in combination with the popular Ordered Weighted Averaging OWA operators. Finally, the proposed aggregation functions are assessed using a case study where the maintainability of the Linux Kernels is evaluated, demonstrating the effectiveness of the proposed functions.
|Title of host publication||Fuzzy Logic|
|Subtitle of host publication||Recent Applications and Developments|
|Editors||Jenny Carter, Tianhua Chen, Francisco Chiclana Parilla, Arjab Singh Khuman|
|Publication status||Accepted/In press - 16 Oct 2020|