New concepts of vague graphs
The concept of vague graph was introduced by Ramakrishna (Int J Comput Cognit 7:51–58, 2009 ). Since the vague models give more precision, flexibility, and compatibility to the system as compared to the classical and fuzzy models, in this paper, the concept of energy of fuzzy graph is extended to th...
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Published in | International journal of machine learning and cybernetics Vol. 8; no. 4; pp. 1081 - 1092 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.08.2017
Springer Nature B.V |
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Abstract | The concept of vague graph was introduced by Ramakrishna (Int J Comput Cognit 7:51–58,
2009
). Since the vague models give more precision, flexibility, and compatibility to the system as compared to the classical and fuzzy models, in this paper,
the concept of energy of fuzzy graph is extended to the energy of a vague graph
. It has many applications in
physics
,
chemistry
,
computer science
, and other branches of mathematics. We define
adjacency matrix
,
degree matrix
,
laplacian matrix
,
spectrum
, and
energy of a vague graph
in terms of their adjacency matrix. The
spectrum
of a vague graph appears in physics statistical problems, and combinatorial optimization problems in mathematics. Also, the lower and upper bounds for the energy of a vague graph are also derived. Finally, we give some applications of energy in vague graph and other sciences. |
---|---|
AbstractList | The concept of vague graph was introduced by Ramakrishna (Int J Comput Cognit 7:51–58, 2009). Since the vague models give more precision, flexibility, and compatibility to the system as compared to the classical and fuzzy models, in this paper, the concept of energy of fuzzy graph is extended to the energy of a vague graph. It has many applications in physics, chemistry, computer science, and other branches of mathematics. We define adjacency matrix, degree matrix, laplacian matrix, spectrum, and energy of a vague graph in terms of their adjacency matrix. The spectrum of a vague graph appears in physics statistical problems, and combinatorial optimization problems in mathematics. Also, the lower and upper bounds for the energy of a vague graph are also derived. Finally, we give some applications of energy in vague graph and other sciences. The concept of vague graph was introduced by Ramakrishna (Int J Comput Cognit 7:51–58, 2009 ). Since the vague models give more precision, flexibility, and compatibility to the system as compared to the classical and fuzzy models, in this paper, the concept of energy of fuzzy graph is extended to the energy of a vague graph . It has many applications in physics , chemistry , computer science , and other branches of mathematics. We define adjacency matrix , degree matrix , laplacian matrix , spectrum , and energy of a vague graph in terms of their adjacency matrix. The spectrum of a vague graph appears in physics statistical problems, and combinatorial optimization problems in mathematics. Also, the lower and upper bounds for the energy of a vague graph are also derived. Finally, we give some applications of energy in vague graph and other sciences. |
Author | Borzooei, R. A. Rashmanlou, Hossein |
Author_xml | – sequence: 1 givenname: R. A. surname: Borzooei fullname: Borzooei, R. A. organization: Department of Mathematics, Shahid Beheshti University – sequence: 2 givenname: Hossein surname: Rashmanlou fullname: Rashmanlou, Hossein email: rashmanlou.1987@gmail.com organization: Department of Mathematics, Islamic Azad University, Central Tehran Branch |
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Cites_doi | 10.3233/IFS-120756 10.1007/s13042-014-0313-6 10.1080/18756891.2015.1063243 10.1016/S0020-0255(71)80005-1 10.1007/s00500-015-1600-1 10.1016/j.ins.2014.07.038 10.1016/0167-8655(93)90115-T 10.1201/9781420082241 10.1007/s10910-006-9108-7 10.1007/s00521-011-0772-6 10.1016/j.knosys.2012.08.022 10.12732/ijpam.v98i3.10 10.1007/978-3-642-59448-9_13 10.1007/s12543-013-0140-6 10.1016/S0019-9958(65)90241-X 10.1016/S0898-1221(99)00056-5 10.3233/IFS-141333 10.1016/j.ins.2013.03.049 10.1016/j.ins.2008.02.012 10.1109/21.229476 10.1016/j.ins.2011.07.037 |
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Snippet | The concept of vague graph was introduced by Ramakrishna (Int J Comput Cognit 7:51–58,
2009
). Since the vague models give more precision, flexibility, and... The concept of vague graph was introduced by Ramakrishna (Int J Comput Cognit 7:51–58, 2009). Since the vague models give more precision, flexibility, and... |
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SubjectTerms | Artificial Intelligence Combinatorial analysis Complex Systems Computational Intelligence Control Energy Engineering Fuzzy sets Graphs Mathematical analysis Matrices (mathematics) Mechatronics Original Article Pattern Recognition Robotics Systems Biology Upper bounds |
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