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Description
  • The mean defined by Bonferroni in 1950 (known by the same name) averages all non-identical product pairs of the inputs. Its generalizations to date have been able to capture unique behavior that may be desired in some decision-making contexts such as the ability to model mandatory requirements. In this paper, we propose a composition that averages conjunctions between the respective means of a designated subset-size partition. We investigate the behavior of such a function and note the relationship within a given family as the subset size is changed. We found that the proposed function is able to more intuitively handle multiple mandatory requirements or mandatory input sets.
  • The mean defined by Bonferroni in 1950 (known by the same name) averages all non-identical product pairs of the inputs. Its generalizations to date have been able to capture unique behavior that may be desired in some decision-making contexts such as the ability to model mandatory requirements. In this paper, we propose a composition that averages conjunctions between the respective means of a designated subset-size partition. We investigate the behavior of such a function and note the relationship within a given family as the subset size is changed. We found that the proposed function is able to more intuitively handle multiple mandatory requirements or mandatory input sets. (en)
Title
  • A generalization of the Bonferroni mean based on partitions
  • A generalization of the Bonferroni mean based on partitions (en)
skos:prefLabel
  • A generalization of the Bonferroni mean based on partitions
  • A generalization of the Bonferroni mean based on partitions (en)
skos:notation
  • RIV/67985556:_____/13:00399787!RIV14-GA0-67985556
http://linked.open...avai/riv/aktivita
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  • I, P(GAP402/11/0378)
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  • 58629
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  • RIV/67985556:_____/13:00399787
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  • Aggregation functions; Bonferroni mean; Mandatory criteria; Decision making (en)
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  • [3F167BBB7191]
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  • Hyderabad
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  • Piscataway
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  • Proceedings of the 2013 IEEE International Conference on Fuzzy Systems (FUZZ 2013)
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  • Beliakov, G.
  • James, S.
  • Mesiar, Radko
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issn
  • 1098-7584
number of pages
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  • 10.1109/FUZZ-IEEE.2013.6622348
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  • IEEE
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  • 978-1-4799-0020-6
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