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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, Francisco Chiclana, Arjab Singh Khuman, Tianhua Chen|
|Publisher||Springer Nature Switzerland AG|
|Number of pages||23|
|ISBN (Print)||9783030664732, 9783030664763|
|Publication status||Published - 5 May 2021|
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- 1 Editorial work
Springer Nature Switzerland AG (Publisher)
Jennifer Carter (Editor), Francisco Chiclana (Editor), Arjab Singh Khuman (Editor) & Tianhua Chen (Editor)Oct 2019 → Oct 2020
Activity: Publication peer-review and editorial work types › Editorial work