An efficient algorithm for fuzzy weighted average

Dong Lee Hoon; Daihee Park

doi:10.1016/s0165-0114(96)00027-9

An efficient algorithm for fuzzy weighted average

Dong Lee Hoon, Daihee Park

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

129 Citations (Scopus)

Abstract

In multisensor intelligent systems, the information fusion plays an important role. Several algorithms have been proposed for the purpose of aggregating imprecise sensory information represented by fuzzy numbers. This paper proposes an efficient algorithm to compute fuzzy weighted average, which turned out to be superior to the previous works by reducing the number of comparisons and arithmetic operations to O(n log n).

Original language	English
Pages (from-to)	39-45
Number of pages	7
Journal	Fuzzy Sets and Systems
Volume	87
Issue number	1
DOIs	https://doi.org/10.1016/s0165-0114(96)00027-9
Publication status	Published - 1997

Bibliographical note

Funding Information:
Several approaches for information fusion have been proposed in the literature. Among them are probability theory, Dempster-Shafer theory, neural networks and fuzzy set theory \[2\]. However, since the fusion of information is often made more *Corresponding author. Supported in part by KOSEF ( # 951-0906-093-z). 1 Supported in part by KOSEF (#951-0903-047-z).

Keywords

Computational efficiency
Fuzzy arithmetic
Fuzzy number
Fuzzy weighted average
Multiple criteria evaluation

ASJC Scopus subject areas

Logic
Artificial Intelligence

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10.1016/s0165-0114(96)00027-9

Cite this

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title = "An efficient algorithm for fuzzy weighted average",

abstract = "In multisensor intelligent systems, the information fusion plays an important role. Several algorithms have been proposed for the purpose of aggregating imprecise sensory information represented by fuzzy numbers. This paper proposes an efficient algorithm to compute fuzzy weighted average, which turned out to be superior to the previous works by reducing the number of comparisons and arithmetic operations to O(n log n).",

keywords = "Computational efficiency, Fuzzy arithmetic, Fuzzy number, Fuzzy weighted average, Multiple criteria evaluation",

author = "{Lee Hoon}, Dong and Daihee Park",

note = "Funding Information: Several approaches for information fusion have been proposed in the literature. Among them are probability theory, Dempster-Shafer theory, neural networks and fuzzy set theory \[2\]. However, since the fusion of information is often made more *Corresponding author. Supported in part by KOSEF ( # 951-0906-093-z). 1 Supported in part by KOSEF (#951-0903-047-z).",

year = "1997",

doi = "10.1016/s0165-0114(96)00027-9",

language = "English",

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AU - Lee Hoon, Dong

AU - Park, Daihee

N1 - Funding Information: Several approaches for information fusion have been proposed in the literature. Among them are probability theory, Dempster-Shafer theory, neural networks and fuzzy set theory \[2\]. However, since the fusion of information is often made more *Corresponding author. Supported in part by KOSEF ( # 951-0906-093-z). 1 Supported in part by KOSEF (#951-0903-047-z).

PY - 1997

Y1 - 1997

N2 - In multisensor intelligent systems, the information fusion plays an important role. Several algorithms have been proposed for the purpose of aggregating imprecise sensory information represented by fuzzy numbers. This paper proposes an efficient algorithm to compute fuzzy weighted average, which turned out to be superior to the previous works by reducing the number of comparisons and arithmetic operations to O(n log n).

AB - In multisensor intelligent systems, the information fusion plays an important role. Several algorithms have been proposed for the purpose of aggregating imprecise sensory information represented by fuzzy numbers. This paper proposes an efficient algorithm to compute fuzzy weighted average, which turned out to be superior to the previous works by reducing the number of comparisons and arithmetic operations to O(n log n).

KW - Computational efficiency

KW - Fuzzy arithmetic

KW - Fuzzy number

KW - Fuzzy weighted average

KW - Multiple criteria evaluation

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DO - 10.1016/s0165-0114(96)00027-9

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EP - 45

JO - Fuzzy Sets and Systems

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IS - 1

ER -

An efficient algorithm for fuzzy weighted average

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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