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 in | Soft computing (Berlin, Germany) Vol. 24; no. 4; pp. 2637 - 2645 |
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Language | English |
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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. |
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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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Cites_doi | 10.1007/978-3-540-89484-1 10.1080/00029890.2000.12005243 10.2298/PIM1613051I 10.1007/978-3-642-13959-8 10.1016/j.disc.2011.12.021 10.1007/s00500-016-2404-7 10.1007/978-3-319-26718-0 10.1137/070699688 10.1007/978-3-662-44354-5 10.1186/2195-5468-2-5 10.1155/2014/307108 10.1038/scientificamerican1299-136 10.1007/978-3-642-12189-0_40 10.1007/s10479-017-2652-7 10.1007/s10700-017-9276-x 10.37236/2595 |
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Keywords | Integer linear programming Positioning and deployment costs Uncertain variable Roman-dominating set problem Uncertainty theory |
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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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