Results 241 to 250 of about 9,260,849 (295)
A Hybrid Approach for IoT Security: Combining Ensemble Learning with Fuzzy Logic. [PDF]
Karakaya A.
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Comfort-Oriented Pothole Traversal Using Multi-Sensor Perception and Fuzzy Control. [PDF]
Yuan C +7 more
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Integrative Multi-Scale Analysis Identifies the Hub Gene TRE1 Associating Trehalose Metabolism With Salinity Tolerance in Rice. [PDF]
Shamloo-Dashtpagerdi R, Tahmasebi S.
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Application of a PSO-FAHP-based evaluation system for office chair design demand analysis. [PDF]
Li M +6 more
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A low light video enhancement using interval valued intuitionistic fuzzy set with HVI space. [PDF]
Manivasagan M, Jagatheswari S.
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The fuzzy saw and fuzzy TOPSIS procedures based on ordered fuzzy numbers
Information Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dariusz Kacprzak
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FUZZY ORDERING OF FUZZY NUMBERS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004In this paper we are interested in determining the fuzzy ordering, from smallest to largest, of any finite set of fuzzy numbers. We investigate two methods: (1) using a weak fuzzy ordering; and (2) using a strong fuzzy ordering. Employing a strong fuzzy ordering we show that any finite set of fuzzy numbers has a unique ranking from smallest to largest.
James J. Buckley, Esfandiar Eslami
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Fuzzy ordering of fuzzy numbers
2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), 2005Fuzzy numbers cannot be easily ordered as ordinary real numbers. Several proposals have addressed this problem, each with some drawbacks and limitations. This paper renounces to the idea of finding a universal ordering method for fuzzy numbers and suggests to compute the degree by which an arbitrary permutation of fuzzy numbers is ordered.
Gerardo Canfora, Luigi Troiano
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International Journal of Intelligent Systems, 2000
Summary: At the heart of many statistical processing algorithms lies the concept of ordering a set of crisp numbers, either according to their own values (``direct'' sorting), or according to the values of a second set of numbers (``indirect'' sorting).
H. B. Mitchell, P. A. Schaefer
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Summary: At the heart of many statistical processing algorithms lies the concept of ordering a set of crisp numbers, either according to their own values (``direct'' sorting), or according to the values of a second set of numbers (``indirect'' sorting).
H. B. Mitchell, P. A. Schaefer
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VSOP fuzzy numbers and their fuzzy ordering
Fuzzy Sets and Systems, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kiyomitsu Horiuchi, Naoyuki Tamura
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