Results 251 to 260 of about 1,583,754 (302)
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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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Soft Computing, 2005
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exaly +3 more sources
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The interpretation of fuzzy integrals and their application to fuzzy systems
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Yasuo Narukawa, Vicenç Torra
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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 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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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
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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