OWA Specificity

Arthur Ramer ()
Additional contact information
Arthur Ramer: University of New South Wales, Knowledge Systems Group, Computer Science

A chapter in The Ordered Weighted Averaging Operators, 1997, pp 98-106 from Springer

Abstract: Abstract A comprehensive model for evaluating specificity of fuzzy sets is presented. It is designed in terms of possibility values, independent of the domain of discourse. For a discrete distribution π = (p1 ≥ p2 ≥ …) two measures are defined exponential logarithmic I(π) =∑(pi - Pi+1)log i Measure Sp(π) is derived from a few intuitively plausible properties of specificity; measure I(π) is dual to nonspecificity in Dempster-Shafer theory. The resulting model has a natural OWA structure, which follows necessarily from the basic assumptions. This leads to an inverse problem, one of developing, within the general OWA framework, the features successfully employed in specificity and uncertainty models. We suggest some directions in the concluding section.

Keywords: Possibility Distribution; Possibility Theory; Ordered Weight Average; Infinite Case; Informal Specificity (search for similar items in EconPapers)
Date: 1997
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4615-6123-1_9

Ordering information: This item can be ordered from
http://www.springer.com/9781461561231

DOI: 10.1007/978-1-4615-6123-1_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().