Basic concepts of neutrosophic crisp sets

Authors

  • Entesar A. Soliman University of Al-zawia

DOI:

https://doi.org/10.37376/ljst.v12i1.7057

Keywords:

Fuzzy set, Generalized neutrosophic set, Intuition-istic neutrosophic set, neutrosophic Set, Neutro-sophic crisp set

Abstract

The world around us is characterized by specificity, ambiguity, and contradiction, which led to a lack of our full knowledge of its facts and events. Therefore, we became in need of a new vision and a logical system that fits our incomplete information. In 1965, the American scientist F. Smarandache presented neutrosophic logic as a generalization of fuzzy logic and intuitive fuzzy logic. He added a new component to the degrees of a membership function and a non-membership function, which is the degree of indeterminacy. The crispneutrosophic sets presented by Ahmed Salama is considered a generalization of the classical set theory, as he developed and introduced new concepts in the fields of mathematics, statistics, computer science, and classical information systems. The purpose of this paper is to introduce basic concepts of neutrosophic crisp sets and give some types and operations on neutrosophic crisp sets. Also, we discussed the relationship between neutrosophic crisp sets and others. Finally, we investigate some properties of neutrosophic crisp sets supported by many theorems and illustrative examples. We can use the new of neutrosophic notions in the following applications: database, networks robots, compiler, and codes.

Downloads

Download data is not yet available.

Author Biography

Entesar A. Soliman, University of Al-zawia

Department of Mathematics, Faculty of Science, University of Al-zawia, Libya

References

Alblowi, S. A., Salama, A.A. and MohmedEisa, (2014) ‘New Concepts of Neutrosophic Sets’, International Journal of Mathematics and Computer Applications Research (IJMCAR), 4, 1, pp. 59-66.

Ansari, Biswas, Aggarwal, (2011) ‘Proposal for Applicability of Neu-trosophic Set Theory in Medical AI’, International Journal of Computer Applications (0975 – 8887), 27, 5, pp. 5-11.

Atanassov, K. (1986) ‘Intuitionistic fuzzy sets’, Fuzzy Sets and Sys-tems, 20, pp. 87-96.

Atanassov, K. (1988) ‘Review and new result on intuitionistic fuzzy sets’, preprint IM-MFAIS-1- 88, Sofia.

Bhowmik, M. and Pal, M. (2010) ‘Intuitionistic Neutrosophic Set Relations and Some of its Properties’, Journal of Information and Computing Science, 5(3), pp. 183-192.

Kharal, A. (2013) ‘A NeutrosophicMulticriteria Decision Making Method’, New Mathematics & Natural Computation, Creighton University, USA.

Lupiáñez, F.G. (2008) ‘On neutrosophic topology’, Kybernetes, 37, pp. 797 – 800.

Salama, A. A., Abdelfattah, M. and Alblowi, S. A. (2014) ‘Some Intui-tionistic Topological Notions of Intuitionistic Region’, Possible Application to GIS Topological Rules, International Journal of Enhanced Research in Management & ComputerApplications, 3, 6, pp. 1-13.

Salama, A.A. and Alblowi, S.A. (2012a) ‘Generalized Neutrosophic Set and Generalized Neutrousophic Topological Spaces’, Journal computer Sci. Engineering, 2, 7, pp. 129-132.

Salama, A.A. and Alblowi, S.A. (2012b) “Neutrosophic set and neu-trosophic topological space”, ISOR J. Math. Vol (3), Issue (4), pp31-35.

Salama, A. A. and Broumi, S. (2014) ‘Roughness of Neutrosophic Sets’, Elixir Appl. Math., 74, pp. 26833-26837.

Salama, A. A. and Smarandache, F. (2014) ‘Neutrosophic Crisp Set Theory’, Neutrosophic Sets and Systems, 5, pp. 27-35.

Salama, A. A. and Smarandache, F. (2015) ‘Neutrosophic Crisp Set Theory’, Education Publishing, Columbus.

Salama, A. A. Smarandache, F. and ALblowi, S. A. (2014), ‘New Neu-trosophic Crisp Topological Concepts’, Neutrosophic Sets and Systems, 4, pp. 50-54.

Smarandache, F. (1999) ‘A Unifying Field in Logics’: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probabil-ity. American Research Press, Rehoboth, NM.

Smarandache, F. (2002) ‘Neutrosophy and Neutrosophic Logic”, First International Conference on Neutrosophy, Neutrosophic Logic, Set, Probability, and Statistics University of New Mexico, Gallup, NM 87301, USA.

Smarandache, F. (2005) ‘Neutrosophic set, a generalization of the intuitionistic fuzzy sets’, Inter. J. Pure Appl. Math, 24, pp. 287–297.

Smarandache, F. (2011) ‘An introduction to the Neutrosophy prob-ability applied in Quantum Physics’, International Conference on introduction Neutrosoph Physics, Neutrosophic Logic, Set, Probability, and Statistics University of New Mexico, Gallup, NM 87301, USA2-4 December.

Zadeh, L. (1965) ‘Fuzzy sets’, Inform and Control, 8, pp. 338-353.

Zhang, M., Zhang, L. and Cheng, H. D (2010) ‘A neutrosophic ap-proach to image segmentation based on watershed method’, Signal Processing, 5, pp. 1510-1517.

Downloads

Published

2024-12-24

How to Cite

A. Soliman, E. . (2024). Basic concepts of neutrosophic crisp sets . Libyan Journal of Science &Amp;Technology, 12(1), 187–193. https://doi.org/10.37376/ljst.v12i1.7057

Issue

Section

Articles