Inference methods based on extended dempster & Shafer's theory for problems with uncertainty/fuzziness

Mitsuru Ishizuka

doi:10.1007/BF03037422

Inference methods based on extended dempster & Shafer's theory for problems with uncertainty/fuzziness

Mitsuru Ishizuka^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

In the reduction of problems with uncertainty, combination relation called COMB becomes important as well as AND/OR relations. Dempster & Shafer's theory provides a rational inference mechanism for the COMB relation. Knowledge often manifests fuzziness as well as uncertainty. To construct expert systems utilizing such knowledge, Dempster & Shafer's theory is extended in two ways to include fuzzy subset and fuzzy certainty.

Original language	English
Pages (from-to)	159-168
Number of pages	10
Journal	New Generation Computing
Volume	1
Issue number	2
DOIs	https://doi.org/10.1007/BF03037422
Publication status	Published - 1983 Jun
Externally published	Yes

ASJC Scopus subject areas

Theoretical Computer Science
Software
Hardware and Architecture
Computer Networks and Communications

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10.1007/BF03037422

Cite this

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abstract = "In the reduction of problems with uncertainty, combination relation called COMB becomes important as well as AND/OR relations. Dempster & Shafer's theory provides a rational inference mechanism for the COMB relation. Knowledge often manifests fuzziness as well as uncertainty. To construct expert systems utilizing such knowledge, Dempster & Shafer's theory is extended in two ways to include fuzzy subset and fuzzy certainty.",

author = "Mitsuru Ishizuka",

year = "1983",

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Inference methods based on extended dempster & Shafer's theory for problems with uncertainty/fuzziness

Abstract

ASJC Scopus subject areas

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