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Autor:
J.F. Baldwin
Publikováno v:
Computers & Mathematics with Applications. 19:105-119
The use of support pairs associated with the facts and rules of a knowledge base of an expert system to capture various aspects of inductive reasoning is discussed. The concept of semantic unification is introduced with reference to fuzzy sets theory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98734fd76e91280371d7c42d5edc63ab
https://doi.org/10.1016/0898-1221(90)90153-b
https://doi.org/10.1016/0898-1221(90)90153-b
Autor:
J.F. Baldwin, Trevor P Martin
Publikováno v:
Proceedings of IEEE 5th International Fuzzy Systems.
Object-oriented programming has been widely adopted as a powerful programming paradigm, enabling software engineers to design systems using structures which map naturally onto the problem domain. Using ideas from logic programming, a class definition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::836b65717f4298536a1815547f6683c2
https://doi.org/10.1109/fuzzy.1996.552374
https://doi.org/10.1109/fuzzy.1996.552374
Publikováno v:
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.
The formalism of support logic provides a framework for deductive inference, with mathematically sound and consistent treatment of uncertainty and evidence which is aggregated through the reasoning process. The authors apply support logic programming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e68fd3d6b4e1e41a51171ae6ec5b5c76
https://doi.org/10.1109/fuzzy.1994.343749
https://doi.org/10.1109/fuzzy.1994.343749
Autor:
J.F. Baldwin, Trevor P Martin
Publikováno v:
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.
Fril is a logic programming language incorporating sophisticated methods for handling fuzzy and probabilistic uncertainty. A knowledge-based interface, the Intelligent Manual, has been written in Fril for use as a front end to technical documentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a67a77588be5b47e5495baf930c5a734
https://doi.org/10.1109/fuzzy.1994.343900
https://doi.org/10.1109/fuzzy.1994.343900
Autor:
Zhou Yiming, J.F. Baldwin
Publikováno v:
[1990] Proceedings. First International Symposium on Uncertainty Modeling and Analysis.
A new type of real-time linguistic fuzzy controller (RTLFC), is proposed which uses support logic programming and evidential reasoning with uncertainty to model the controller and infer the actual control actions. Simplicity and adaptability are emph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dc38049a10d105d862c371ed280d184
https://doi.org/10.1109/isuma.1990.151250
https://doi.org/10.1109/isuma.1990.151250
Autor:
Trevor P Martin, J.F. Baldwin
Publikováno v:
Proceedings of 1995 IEEE International Conference on Fuzzy Systems. The International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium.
When considering large bodies of data, humans generally prefer to work with heuristic (usually fuzzy) rules which summarise patterns in the data. Forming these rules is often a matter of intuition which may be complicated by missing, noisy, or incorr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ebc5d347067b1dd9657b43f3f532c35
https://doi.org/10.1109/fuzzy.1995.409656
https://doi.org/10.1109/fuzzy.1995.409656
Autor:
J.F. Baldwin, Trevor P Martin
Publikováno v:
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
Support logic programming and its practical implementation (Fril) integrates probabilistic and fuzzy uncertainty into logic programming using mass assignments. This paper presents a snapshot of current research, aimed at combining the best aspects of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43520ee57e8c0228aac37d65617c14bc
https://doi.org/10.1109/nafips.2001.944352
https://doi.org/10.1109/nafips.2001.944352