Information aggregation in intelligent systems: An application oriented approach

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41 Citations (Scopus)

Abstract

This paper offers a comprehensive study of information aggregation in intelligent systems prompted by common engineering interest. After a motivating introduction we consider aggregation functions and their fundamental properties as a basis for further development. Four main classes of aggregation functions are identified, and important subclasses are described and characterized as prototypes. For practical purposes, we outline two procedures to identify aggregation function that fits best to empirical data. Finally, we briefly recall some applications of aggregation functions in decision making, utility theory, fuzzy inference systems, multisensor data fusion, image processing, and their hardware implementation.

Original languageEnglish
Pages (from-to)3-13
Number of pages11
JournalKnowledge-Based Systems
Volume38
DOIs
Publication statusPublished - Jan 2013

Fingerprint

Intelligent systems
Agglomeration
Sensor data fusion
Data fusion
Fuzzy inference
Image processing
Decision making
Information aggregation
Hardware

Keywords

  • Aggregation function
  • Decision making
  • Fuzzy inference system
  • Image approximation
  • Mean
  • Multisensor data fusion
  • Triangular norm
  • Uninorm

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Management Information Systems
  • Information Systems and Management

Cite this

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