An efficient algorithm for fuzzy weighted average

Dong Hoon Lee, Daihee Park

Research output: Contribution to journalArticle

114 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 languageEnglish
Pages (from-to)39-45
Number of pages7
JournalFuzzy Sets and Systems
Volume87
Issue number1
Publication statusPublished - 1997 Dec 1

Fingerprint

Fuzzy Weighted Average
Information Fusion
Intelligent Systems
Fuzzy numbers
Efficient Algorithms
Information fusion
Intelligent systems

Keywords

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

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Statistics, Probability and Uncertainty
  • Electrical and Electronic Engineering
  • Statistics and Probability

Cite this

An efficient algorithm for fuzzy weighted average. / Lee, Dong Hoon; Park, Daihee.

In: Fuzzy Sets and Systems, Vol. 87, No. 1, 01.12.1997, p. 39-45.

Research output: Contribution to journalArticle

Lee, Dong Hoon ; Park, Daihee. / An efficient algorithm for fuzzy weighted average. In: Fuzzy Sets and Systems. 1997 ; Vol. 87, No. 1. pp. 39-45.
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