Fuzzy decision support system with rough set based rules generation method

Grzegorz Drwal; Marek Sikora

doi:10.1007/978-3-540-25929-9_92

Fuzzy decision support system with rough set based rules generation method

Grzegorz Drwal
, Marek Sikora

Katedra Sieci i Systemów Komputerowych (RAU/RAU9)

Silesian University of Technology

Wyniki badań: Wkład do czasopisma › Artykuł z konferencji › recenzja

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Abstrakt

This paper presents system which tries to combine the advantages of rough sets methods and fuzzy sets methods to get better classification. The fuzzy sets theory supports approximate reasoning and the rough sets theory is responsible for data analyzing and process of automatic fuzzy rules generation. The system was designed as a typical knowledge based system consisting of four main parts: rule extractor, knowledge base, inference engine, user interface and occurs to be useful tool in various decision problems and fuzzy control.

Język oryginału	angielski
Strony (od–do)	727-732
Liczba stron	6
Czasopismo	Lecture Notes in Computer Science
Tom	3066
Identyfikatory DOI	https://doi.org/10.1007/978-3-540-25929-9_92
Status publikacji	Opublikowano - 2004
Wydarzenie	4th International Conference, RSCTC 2004 - Uppsala, Szwecja Czas trwania: 1 cze 2004 → 5 cze 2004

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

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10.1007/978-3-540-25929-9_92

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Cytowanie

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title = "Fuzzy decision support system with rough set based rules generation method",

abstract = "This paper presents system which tries to combine the advantages of rough sets methods and fuzzy sets methods to get better classification. The fuzzy sets theory supports approximate reasoning and the rough sets theory is responsible for data analyzing and process of automatic fuzzy rules generation. The system was designed as a typical knowledge based system consisting of four main parts: rule extractor, knowledge base, inference engine, user interface and occurs to be useful tool in various decision problems and fuzzy control.",

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AU - Sikora, Marek

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AB - This paper presents system which tries to combine the advantages of rough sets methods and fuzzy sets methods to get better classification. The fuzzy sets theory supports approximate reasoning and the rough sets theory is responsible for data analyzing and process of automatic fuzzy rules generation. The system was designed as a typical knowledge based system consisting of four main parts: rule extractor, knowledge base, inference engine, user interface and occurs to be useful tool in various decision problems and fuzzy control.

UR - https://www.scopus.com/pages/publications/9444254124

U2 - 10.1007/978-3-540-25929-9_92

DO - 10.1007/978-3-540-25929-9_92

M3 - Conference article

AN - SCOPUS:9444254124

SN - 0302-9743

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JF - Lecture Notes in Computer Science

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Fuzzy decision support system with rough set based rules generation method

Abstrakt

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