Fuzzy reasoning and applications for intelligent scheduling of robots

Eugene Levner, Leonid Meyzin, Alexander Ptuskin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a problem of scheduling a transportation robot in a production flow line with incomplete knowledge of input data. The input data are modeled by fuzzy numbers. A new numerical algorithm based on operations over the fuzzy numbers is developed.

Original languageEnglish
Title of host publicationFuzzy Logic in Artificial Intelligence
Subtitle of host publicationTowards Intelligent Systems - IJCAI 1995 Workshop, Selected Papers
EditorsTrevor P. Martin, Anca L. Ralescu
PublisherSpringer Verlag
Pages57-68
Number of pages12
ISBN (Print)3540624740, 9783540624745
DOIs
StatePublished - 1997
Externally publishedYes
EventWorkshop on Fuzzy Logic in Artificial Intelligence, IJCAI 1995 - Montreal, Canada
Duration: 19 Aug 199521 Aug 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1188
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceWorkshop on Fuzzy Logic in Artificial Intelligence, IJCAI 1995
Country/TerritoryCanada
CityMontreal
Period19/08/9521/08/95

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1997.

Keywords

  • Fuzzy scheduling
  • Periodic scheduling
  • Transportation robot

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