Roman domination problem with uncertain positioning and deployment costs

In a connected simple graph, the weighted Roman domination problem is considered at which the cost of positioning at each vertex is imposed in addition to the costs of potential deployments from a vertex to some of its neighboring vertices. Proper decision in practice is prone to a high degree of in...

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Published inSoft computing (Berlin, Germany) Vol. 24; no. 4; pp. 2637 - 2645
Main Author Ghaffari-Hadigheh, Alireza
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LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2020
Springer Nature B.V
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Abstract In a connected simple graph, the weighted Roman domination problem is considered at which the cost of positioning at each vertex is imposed in addition to the costs of potential deployments from a vertex to some of its neighboring vertices. Proper decision in practice is prone to a high degree of indeterminacy, mostly raised by unpredictable events that do not obey the rules and prerequisites of the probability theory. In this study, we model this problem with such assumptions in the context of the uncertainty theory initiated by Liu (Uncertainty theory. Studies in fuzziness and soft computing, Springer, Berlin, 2007 ). Two different optimization models are presented, and a concrete example is provided for illustrative purposes. Weaknesses of the probability theory and fuzzy theory in dealing with this problem are also mentioned in detail.
AbstractList In a connected simple graph, the weighted Roman domination problem is considered at which the cost of positioning at each vertex is imposed in addition to the costs of potential deployments from a vertex to some of its neighboring vertices. Proper decision in practice is prone to a high degree of indeterminacy, mostly raised by unpredictable events that do not obey the rules and prerequisites of the probability theory. In this study, we model this problem with such assumptions in the context of the uncertainty theory initiated by Liu (Uncertainty theory. Studies in fuzziness and soft computing, Springer, Berlin, 2007). Two different optimization models are presented, and a concrete example is provided for illustrative purposes. Weaknesses of the probability theory and fuzzy theory in dealing with this problem are also mentioned in detail.
In a connected simple graph, the weighted Roman domination problem is considered at which the cost of positioning at each vertex is imposed in addition to the costs of potential deployments from a vertex to some of its neighboring vertices. Proper decision in practice is prone to a high degree of indeterminacy, mostly raised by unpredictable events that do not obey the rules and prerequisites of the probability theory. In this study, we model this problem with such assumptions in the context of the uncertainty theory initiated by Liu (Uncertainty theory. Studies in fuzziness and soft computing, Springer, Berlin, 2007 ). Two different optimization models are presented, and a concrete example is provided for illustrative purposes. Weaknesses of the probability theory and fuzzy theory in dealing with this problem are also mentioned in detail.
Author Ghaffari-Hadigheh, Alireza
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  email: Hadigheha@azaruniv.ac.ir
  organization: Department of Applied Mathematics, Azarbaijan Shahid Madani University
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Cites_doi 10.1007/978-3-540-89484-1
10.1080/00029890.2000.12005243
10.2298/PIM1613051I
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10.1007/978-3-319-26718-0
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– notice: The Author(s) 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Issue 4
Keywords Integer linear programming
Positioning and deployment costs
Uncertain variable
Roman-dominating set problem
Uncertainty theory
Language English
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Snippet In a connected simple graph, the weighted Roman domination problem is considered at which the cost of positioning at each vertex is imposed in addition to the...
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SubjectTerms Apexes
Artificial Intelligence
Computational Intelligence
Construction costs
Control
Disaster recovery
Engineering
Fire stations
Focus
Linear programming
Mathematical Logic and Foundations
Mechatronics
Optimization
Optimization models
Probability theory
Provinces
Robotics
Soft computing
Uncertainty
Wireless networks
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Title Roman domination problem with uncertain positioning and deployment costs
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