Knowledge fusion

Brian John Garner; Dickson Lukose

doi:10.1007/3-540-57454-9_13

Knowledge fusion

Brian John Garner, Dickson Lukose

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

4 Citations (Scopus)

Abstract

The integration of conflicting views of experts remains one of the most serious impediments to expanded use by business and government of Expert Systems. Clark (1990) has suggested separation of the risk component (certainty sets) from Expert System rules for judgemental problem solving, and fuzzy rules extracted through simulation studies [2] have also been proposed. In this paper, a new approach is suggested, based on knowledge fusion, which is achieved through expansion of the goal space to accommodate divergent views.

Original language	English
Title of host publication	Conceptual Structures
Subtitle of host publication	Theory and Implementation - 7th Annual Workshop, Proceedings
Editors	Heather D. Pfeiffer, Timothy E. Nagle
Publisher	Springer
Pages	158-167
Number of pages	10
ISBN (Print)	9783540574545
DOIs	https://doi.org/10.1007/3-540-57454-9_13
Publication status	Published - 1993
Externally published	Yes
Event	Annual Workshop on Conceptual Graphs 1992 - Las Cruces, United States of America Duration: 8 Jul 1992 → 10 Jul 1992 Conference number: 7th https://dblp.org/db/conf/iccs/iccs1992.html (Proceedings)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	754 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	Annual Workshop on Conceptual Graphs 1992
Country/Territory	United States of America
City	Las Cruces
Period	8/07/92 → 10/07/92
Internet address	https://dblp.org/db/conf/iccs/iccs1992.html (Proceedings)

Access to Document

10.1007/3-540-57454-9_13

Cite this

Garner, B. J., & Lukose, D. (1993). Knowledge fusion. In H. D. Pfeiffer, & T. E. Nagle (Eds.), Conceptual Structures: Theory and Implementation - 7th Annual Workshop, Proceedings (pp. 158-167). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 754 LNCS). Springer. https://doi.org/10.1007/3-540-57454-9_13

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title = "Knowledge fusion",

abstract = "The integration of conflicting views of experts remains one of the most serious impediments to expanded use by business and government of Expert Systems. Clark (1990) has suggested separation of the risk component (certainty sets) from Expert System rules for judgemental problem solving, and fuzzy rules extracted through simulation studies [2] have also been proposed. In this paper, a new approach is suggested, based on knowledge fusion, which is achieved through expansion of the goal space to accommodate divergent views.",

author = "Garner, {Brian John} and Dickson Lukose",

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booktitle = "Conceptual Structures",

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Garner, BJ & Lukose, D 1993, Knowledge fusion. in HD Pfeiffer & TE Nagle (eds), Conceptual Structures: Theory and Implementation - 7th Annual Workshop, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 754 LNCS, Springer, pp. 158-167, Annual Workshop on Conceptual Graphs 1992, Las Cruces, New Mexico, United States of America, 8/07/92. https://doi.org/10.1007/3-540-57454-9_13

Knowledge fusion. / Garner, Brian John; Lukose, Dickson.

Conceptual Structures: Theory and Implementation - 7th Annual Workshop, Proceedings. ed. / Heather D. Pfeiffer; Timothy E. Nagle. Springer, 1993. p. 158-167 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 754 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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Knowledge fusion

Abstract

Publication series

Workshop

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