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Abstract
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.
Original language | English |
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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 |
Chapter | 8 |
Pages | 107-129 |
Number of pages | 23 |
Edition | 1 |
ISBN (Electronic) | 9783030664749 |
ISBN (Print) | 9783030664732, 9783030664763 |
DOIs | |
Publication status | Published - 5 May 2021 |
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Springer Nature Switzerland AG (Publisher)
Jennifer Carter (Editor), Francisco Chiclana (Editor), Arjab Singh Khuman (Editor) & Tianhua Chen (Editor)
Oct 2019 → Oct 2020Activity: Publication peer-review and editorial work types › Editorial work