Fuzzy logistic equation by polynomial interpolation
The aim of this paper is to study the fuzzy logistic equation. In this paper, the problem of best approximation is considered for fuzzy function, by interpolation to obtain a polynomials. This problem is solved numerically using the extended Runge-Kutta-like fourth order method which use less functi...
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| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•à®³à¯: | , , , |
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| வடிவமà¯: | Conference or Workshop Item |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
American Institute of Physics Inc.
2016
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| பகà¯à®¤à®¿à®•à®³à¯: | |
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://eprints.utm.my/73202/ http://eprints.utm.my/73202/ |
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| தொகà¯à®ªà¯à®ªà¯: | The aim of this paper is to study the fuzzy logistic equation. In this paper, the problem of best approximation is considered for fuzzy function, by interpolation to obtain a polynomials. This problem is solved numerically using the extended Runge-Kutta-like fourth order method which use less function evaluations. The extended Runge-kutta-like fourth order method will be briefly described. Polynomial operation with degenerate interpolation will eventually involve Vandermonde matrices. Finally, this paper shows that fuzzy logistic equation gives acceptable result. |
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