An Integrated fuzzy Cells-classifier

Giosue' Lo Bosco

An Integrated fuzzy Cells-classifier

Matematica e Informatica

Risultato della ricerca: Conference contribution

Abstract

The term soft-computing has been introduced by Zadeh in 1994. Soft-computing provides an appropriate paradigm to program malleable and smooth concepts. In this paper a genetic algorithm is proposed to fuse the classification results due to different distance functions. The combination is based on the optimization of a vote strategy and it is applied to cells classification.

Lingua originale	English
Titolo della pubblicazione ospite	Fuzzy Logic and Applications, 5th International Workshop, WILF 2003, Naples, Italy, October 9-11, 2003, Revised Selected Papers
Pagine	263-270
Numero di pagine	8
Stato di pubblicazione	Published - 2006

Serie di pubblicazioni

Nome	LECTURE NOTES IN ARTIFICIAL INTELLIGENCE

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
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title = "An Integrated fuzzy Cells-classifier",

abstract = "The term soft-computing has been introduced by Zadeh in 1994. Soft-computing provides an appropriate paradigm to program malleable and smooth concepts. In this paper a genetic algorithm is proposed to fuse the classification results due to different distance functions. The combination is based on the optimization of a vote strategy and it is applied to cells classification.",

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year = "2006",

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isbn = "978-3-540-31019-8; 978-3-540-32683-0",

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N2 - The term soft-computing has been introduced by Zadeh in 1994. Soft-computing provides an appropriate paradigm to program malleable and smooth concepts. In this paper a genetic algorithm is proposed to fuse the classification results due to different distance functions. The combination is based on the optimization of a vote strategy and it is applied to cells classification.

AB - The term soft-computing has been introduced by Zadeh in 1994. Soft-computing provides an appropriate paradigm to program malleable and smooth concepts. In this paper a genetic algorithm is proposed to fuse the classification results due to different distance functions. The combination is based on the optimization of a vote strategy and it is applied to cells classification.

UR - http://hdl.handle.net/10447/47512

M3 - Conference contribution

SN - 978-3-540-31019-8; 978-3-540-32683-0

T3 - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE

SP - 263

EP - 270

BT - Fuzzy Logic and Applications, 5th International Workshop, WILF 2003, Naples, Italy, October 9-11, 2003, Revised Selected Papers

ER -