Fuzzy reasoning and applications for intelligent scheduling of robots

Eugene Levner; Leonid Meyzin; Alexander Ptuskin

doi:10.1007/3-540-62474-0_5

Fuzzy reasoning and applications for intelligent scheduling of robots

Eugene Levner, Leonid Meyzin, Alexander Ptuskin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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 language	English
Title of host publication	Fuzzy Logic in Artificial Intelligence
Subtitle of host publication	Towards Intelligent Systems - IJCAI 1995 Workshop, Selected Papers
Editors	Trevor P. Martin, Anca L. Ralescu
Publisher	Springer Verlag
Pages	57-68
Number of pages	12
ISBN (Print)	3540624740, 9783540624745
DOIs	https://doi.org/10.1007/3-540-62474-0_5
State	Published - 1997
Externally published	Yes
Event	Workshop on Fuzzy Logic in Artificial Intelligence, IJCAI 1995 - Montreal, Canada Duration: 19 Aug 1995 → 21 Aug 1995

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1188
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	Workshop on Fuzzy Logic in Artificial Intelligence, IJCAI 1995
Country/Territory	Canada
City	Montreal
Period	19/08/95 → 21/08/95

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1997.

Keywords

Fuzzy scheduling
Periodic scheduling
Transportation robot

Access to Document

10.1007/3-540-62474-0_5

Cite this

Levner, E., Meyzin, L., & Ptuskin, A. (1997). Fuzzy reasoning and applications for intelligent scheduling of robots. In T. P. Martin, & A. L. Ralescu (Eds.), Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems - IJCAI 1995 Workshop, Selected Papers (pp. 57-68). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1188). Springer Verlag. https://doi.org/10.1007/3-540-62474-0_5

Levner, Eugene ; Meyzin, Leonid ; Ptuskin, Alexander. / Fuzzy reasoning and applications for intelligent scheduling of robots. Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems - IJCAI 1995 Workshop, Selected Papers. editor / Trevor P. Martin ; Anca L. Ralescu. Springer Verlag, 1997. pp. 57-68 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Fuzzy reasoning and applications for intelligent scheduling of robots",

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.",

keywords = "Fuzzy scheduling, Periodic scheduling, Transportation robot",

author = "Eugene Levner and Leonid Meyzin and Alexander Ptuskin",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1997.; Workshop on Fuzzy Logic in Artificial Intelligence, IJCAI 1995 ; Conference date: 19-08-1995 Through 21-08-1995",

year = "1997",

doi = "10.1007/3-540-62474-0_5",

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Levner, E, Meyzin, L & Ptuskin, A 1997, Fuzzy reasoning and applications for intelligent scheduling of robots. in TP Martin & AL Ralescu (eds), Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems - IJCAI 1995 Workshop, Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1188, Springer Verlag, pp. 57-68, Workshop on Fuzzy Logic in Artificial Intelligence, IJCAI 1995, Montreal, Canada, 19/08/95. https://doi.org/10.1007/3-540-62474-0_5

Fuzzy reasoning and applications for intelligent scheduling of robots. / Levner, Eugene; Meyzin, Leonid; Ptuskin, Alexander.
Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems - IJCAI 1995 Workshop, Selected Papers. ed. / Trevor P. Martin; Anca L. Ralescu. Springer Verlag, 1997. p. 57-68 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1188).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fuzzy reasoning and applications for intelligent scheduling of robots

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AU - Meyzin, Leonid

AU - Ptuskin, Alexander

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N2 - 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.

AB - 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.

KW - Fuzzy scheduling

KW - Periodic scheduling

KW - Transportation robot

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BT - Fuzzy Logic in Artificial Intelligence

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Levner E, Meyzin L, Ptuskin A. Fuzzy reasoning and applications for intelligent scheduling of robots. In Martin TP, Ralescu AL, editors, Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems - IJCAI 1995 Workshop, Selected Papers. Springer Verlag. 1997. p. 57-68. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-62474-0_5

Fuzzy reasoning and applications for intelligent scheduling of robots

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