Fuzzy rules generation method for classification problems using rough sets and genetic algorithms

Marek Sikora

Fuzzy rules generation method for classification problems using rough sets and genetic algorithms

Marek Sikora

Katedra Sieci i Systemów Komputerowych (RAU/RAU9)

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

Abstrakt

A method of constructing a classifier that uses fuzzy reasoning is described in this paper. Rules for this classifier are obtained by means of algorithms relying on a tolerance rough sets model. Got rules are in so called sharp" form, a genetic algorithm is used for fuzzification of these rules. Presented results of experiments show that the proposed method allows getting a smaller rules set with similar (or better) classification abilities.

Język oryginału	angielski
Tytuł publikacji goszczącej	Proceedings of SPIE - The International Society for Optical Engineering
Strony	383-391
Liczba stron	9
Status publikacji	Opublikowano - 2006
Wydarzenie	High-Power Diode Laser Technology and Applications IV - San Jose, CA, Stany Zjednoczone Czas trwania: 23 sty 2006 → 25 sty 2006

Seria publikacji

Nazwa	Proceedings of SPIE - The International Society for Optical Engineering
Tom	6104
ISSN (drukowany)	0277-786X

Konferencja

Konferencja	High-Power Diode Laser Technology and Applications IV
Kraj/Terytorium	Stany Zjednoczone
Miejscowość	San Jose, CA
Okres	23/01/06 → 25/01/06

Obszary tematyczne ASJC Scopus

Materiały elektroniczne, optyczne i magnetyczne
Fizyka materii skondensowanej
Zastosowania informatyki
Matematyka stosowana
Inżynieria elektryczna i elektroniczna

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

@inproceedings{b851a26b3a0647e4b2ba062d1b7c53e3,

title = "Fuzzy rules generation method for classification problems using rough sets and genetic algorithms",

abstract = "A method of constructing a classifier that uses fuzzy reasoning is described in this paper. Rules for this classifier are obtained by means of algorithms relying on a tolerance rough sets model. Got rules are in so called sharp{"} form, a genetic algorithm is used for fuzzification of these rules. Presented results of experiments show that the proposed method allows getting a smaller rules set with similar (or better) classification abilities.",

author = "Marek Sikora",

year = "2006",

language = "English",

isbn = "0819461466",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

pages = "383--391",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "High-Power Diode Laser Technology and Applications IV ; Conference date: 23-01-2006 Through 25-01-2006",

}

Sikora, M 2006, Fuzzy rules generation method for classification problems using rough sets and genetic algorithms. w Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, tom 6104, str. 383-391, High-Power Diode Laser Technology and Applications IV, San Jose, CA, Stany Zjednoczone, 23/01/06.

Fuzzy rules generation method for classification problems using rough sets and genetic algorithms. / Sikora, Marek.
Proceedings of SPIE - The International Society for Optical Engineering. 2006. str. 383-391 (Proceedings of SPIE - The International Society for Optical Engineering; Tom 6104).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Fuzzy rules generation method for classification problems using rough sets and genetic algorithms

AU - Sikora, Marek

PY - 2006

Y1 - 2006

N2 - A method of constructing a classifier that uses fuzzy reasoning is described in this paper. Rules for this classifier are obtained by means of algorithms relying on a tolerance rough sets model. Got rules are in so called sharp" form, a genetic algorithm is used for fuzzification of these rules. Presented results of experiments show that the proposed method allows getting a smaller rules set with similar (or better) classification abilities.

AB - A method of constructing a classifier that uses fuzzy reasoning is described in this paper. Rules for this classifier are obtained by means of algorithms relying on a tolerance rough sets model. Got rules are in so called sharp" form, a genetic algorithm is used for fuzzification of these rules. Presented results of experiments show that the proposed method allows getting a smaller rules set with similar (or better) classification abilities.

UR - https://www.scopus.com/pages/publications/33645969617

M3 - Conference contribution

AN - SCOPUS:33645969617

SN - 0819461466

SN - 9780819461469

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 383

EP - 391

BT - Proceedings of SPIE - The International Society for Optical Engineering

T2 - High-Power Diode Laser Technology and Applications IV

Y2 - 23 January 2006 through 25 January 2006

ER -

Fuzzy rules generation method for classification problems using rough sets and genetic algorithms

Abstrakt

Seria publikacji

Konferencja

Obszary tematyczne ASJC Scopus

Inne pliki i linki

Fingerprint

Cytowanie