Show simple item record

dc.contributor.authorCohen, Paul R.
dc.contributor.authorShafer, Glenn R.
dc.contributor.authorShenoy, Prakash P.
dc.date.accessioned2012-09-13T18:00:17Z
dc.date.available2012-09-13T18:00:17Z
dc.date.issued1987-02
dc.identifier.citationCohen, Paul R, Glen Shafer, and Prakash P. Shenoy (1987), "Modifiable combining functions," Artificial Intelligence for Engineering, Design, Analysis and Manufacturing, 1 (1), 47-57. http://dx.doi.org/10.1017/S0890060400000147
dc.identifier.urihttp://hdl.handle.net/1808/10084
dc.description© Cambridge University Press 1987
dc.description.abstractModifiable combining functions are a synthesis of two common approaches to combining evidence. They offer many of the advantages of these approaches and avoid some disadvantages. Because they facilitate the acquisition, representation, explanation, and modification of knowledge about combinations of evidence, they are proposed as a tool for knowledge engineers who build systems that reason under uncertainty, not as a normative theory of evidence.
dc.language.isoen_US
dc.publisherCambridge University Press
dc.titleModifiable combining functions
dc.typeArticle
kusw.kuauthorShenoy, Prakash P.
kusw.kudepartmentSchool of Business
kusw.oastatusfullparticipation
dc.identifier.doi10.1017/S0890060400000147
dc.identifier.orcidhttps://orcid.org/0000-0002-8425-896X
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record