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Fuzzy ontologies and fuzzy integrals
2011 11th International Conference on Intelligent Systems Design and Applications, 2011Fuzzy ontologies extend classical ontologies to allow the representation of imprecise and vague knowledge. Although a relatively important amount of work has been carried out in the last years and they have been successfully used in several applications, several notions from fuzzy logic, such as fuzzy integrals, have not been considered yet in fuzzy ...
Bobillo F, Straccia U
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Fundamenta Informaticae, 1999
Using the embedding method, the fuzzy integral is represented as a parametric Riemann integral. An algorithm which approximates this integral uniformly, is incorporated to design a soft computing tool for solving a fuzzy Fredholm integral equation of the second kind with arbitrary kernel, using a uniformly convergent iterative procedure.
Menahem Friedman +2 more
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Using the embedding method, the fuzzy integral is represented as a parametric Riemann integral. An algorithm which approximates this integral uniformly, is incorporated to design a soft computing tool for solving a fuzzy Fredholm integral equation of the second kind with arbitrary kernel, using a uniformly convergent iterative procedure.
Menahem Friedman +2 more
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Fuzzy integrals—what are they?
International Journal of Intelligent Systems, 2008Summary: We bring an overview of fuzzy integrals, including historical remarks. These integrals can be viewed as an average membership value of fuzzy sets, and they are related to fuzzy measures. The Choquet integral can be traced back to 1925. The Sugeno integral has a predecessor in the Shilkret integral from 1971.
Radko Mesiar, Andrea Mesiarová
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Fuzzy Sets and Systems, 1998
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Congxin Wu +3 more
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Congxin Wu +3 more
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Information Sciences, 1997
This paper presents a new mathematical model for integrating information from multiple sources with respect to fuzzy measures. The proposed methodology is based on the optimality principle of an estimation technique of geostatistics known as block kriging.
Tuan D. Pham, Hong Yan 0001
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This paper presents a new mathematical model for integrating information from multiple sources with respect to fuzzy measures. The proposed methodology is based on the optimality principle of an estimation technique of geostatistics known as block kriging.
Tuan D. Pham, Hong Yan 0001
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Fuzzy Sets and Systems, 1996
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Dan A. Ralescu, Michio Sugeno
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Dan A. Ralescu, Michio Sugeno
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Information Sciences, 1995
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John N. Mordeson, William Newman
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John N. Mordeson, William Newman
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Fuzzy Integrals for Edge Detection
2023This work was partially supported with grant PID2021-123673OB-C31 funded by MCIN/AEI/ 10.13039/501100011033 and by ”ERDF A way of making Europe”, Conseller´ıa d’Innovaci´o, Universitats, Ciencia i Societat Digital from Comunitat Valenciana (APOSTD/2021/227) through the European Social Fund (Investing In Your Future), grant from the Reseach Services of ...
C. Marco-Detchart +8 more
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Fuzzy Sets and Systems, 1996
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