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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.oanotesOn authors personal or departmental web page or institutional repository or PubMed Central. Pre-print to record acceptance for publication. Publisher copyright and source must be acknowledged. Must link to publisher version. Authors version may be deposited immediately on acceptance. Publishers version/PDF may be used on authors personal or departmental web page any time after publication. Publishers version/PDF may be used in an institutional repository or PubMed Central after 12 month embargo. Articles in some journals can be made Open Access on payment of additional charge. If funding agency rules apply, authors may post articles in PubMed Central 12 months after publication or use Cambridge Open Option. Permission (not to be unreasonably withheld) needs to be sought if the author is at a different institution to when the article was originally published.
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


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