Sparse data in the evolutionary generation of fuzzy models

Daniel Spiegel; Thomas Sudkamp

doi:10.1016/S0165-0114(03)00136-2

Sparse data in the evolutionary generation of fuzzy models

Wright State University

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	363-379
Number of pages	17
Journal	Fuzzy Sets and Systems
Volume	138
Issue number	2
DOIs	https://doi.org/10.1016/S0165-0114(03)00136-2
State	Published - Sep 1 2003

ASJC Scopus Subject Areas

Logic
Artificial Intelligence

Keywords

Approximate reasoning
Fuzzy models
Genetic algorithms

Disciplines

Computer Sciences
Mathematics
Physical Sciences and Mathematics

Access to Document

10.1016/S0165-0114(03)00136-2

Cite this

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title = "Sparse data in the evolutionary generation of fuzzy models",

keywords = "Approximate reasoning, Fuzzy models, Genetic algorithms",

author = "Daniel Spiegel and Thomas Sudkamp",

year = "2003",

month = sep,

day = "1",

doi = "10.1016/S0165-0114(03)00136-2",

language = "English",

volume = "138",

pages = "363--379",

journal = "Fuzzy Sets and Systems",

issn = "0165-0114",

number = "2",

}

TY - JOUR

T1 - Sparse data in the evolutionary generation of fuzzy models

AU - Spiegel, Daniel

AU - Sudkamp, Thomas

PY - 2003/9/1

Y1 - 2003/9/1

KW - Approximate reasoning

KW - Fuzzy models

KW - Genetic algorithms

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U2 - 10.1016/S0165-0114(03)00136-2

DO - 10.1016/S0165-0114(03)00136-2

M3 - Article

AN - SCOPUS:0043092358

SN - 0165-0114

VL - 138

SP - 363

EP - 379

JO - Fuzzy Sets and Systems

JF - Fuzzy Sets and Systems

IS - 2

ER -

Sparse data in the evolutionary generation of fuzzy models

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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Cite this