Research Article
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Year 2021, Issue: 34, 45 - 63, 30.03.2021

Abstract

References

  • L. A. Zadeh, Fuzzy Sets, Information and Control 8(3) (1965) 338–353.
  • K. T. Atanassov, Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems 20 (1986) 87–96.
  • N. Çağman, S. Enginoğlu, Fuzzy Soft Matrix Theory and Its Application in Decision Making, Iranian Journal of Fuzzy Systems 9(1) (2012) 109–119.
  • E. Aygün, H. Kamacı, Some Generalized Operations in Soft Set Theory and Their Role in Similarity and Decision Making, Journal of Intelligent and Fuzzy Systems 36(6) (2019) 6537–6547.
  • H. Kamacı, Interval-valued Fuzzy Parameterized Intuitionistic Fuzzy Soft Sets and Their Applications, Cumhuriyet Science Journal 40(2) (2019) 317–331.
  • H. Kamacı, Linear Diophantine Fuzzy Algebraic Structures, Journal of Ambient Intelligence and Humanized Computing (2021) In Press. https://doi.org/10.1007/s12652-020-02826-x
  • M. J. Khan, P. Kumam, P. Liu, W. Kumam, S. Ashraf, A Novel Approach to Generalized Intuitionistic Fuzzy Soft Sets and Its Application in Decision Support System, Mathematics 7(8) (2019) 1–21.
  • M. Riaz, R. Hashmi, Linear Diophantine Fuzzy Set and Its Applications towards Multi-attribute Decision Making Problems, Journal of Intelligent and Fuzzy Systems 37 (2019) 5417–5439.
  • M. Riaz, R. Hashmi, MAGDM for Agribusiness in the Environment of Various Cubic m-polar Fuzzy Averaging Aggregation Operators, Journal of Intelligent and Fuzzy Systems 37 (2019) 3671–3691.
  • S. Petchimuthu, H. Garg, H. Kamacı, A.O. Atagün, The Mean Operators and Generalized Products of Fuzzy Soft Matrices and Their Applications in MCGDM, Computational and Applied Mathematics 39(2) (2020) 1–32 Article No: 68.
  • S. Petchimuthu, H. Kamacı, The Adjustable Approaches to Multi-criteria Group Decision Making Based on Inverse Fuzzy Soft Matrices, Scientia Iranica (2020) In Press. doi: 10.24200/sci.2020.54294.3686
  • F. Smarandache, Neutrosophy: Neutrosophic Probability, Set, and Logic: Analytic Synthesis & Synthetic Analysis, Rehoboth: American Research Press, USA, 1998.
  • H. Wang, F. Smarandache, Y. Q. Zhang, R. Sunderraman, Single Valued Neutrosophic Set, Multispace and Multistructure 4 (2010) 410–413.
  • İ. Deli, Y. Şubaş, A Ranking Method of Single Valued Neutrosophic Numbers and Its Applications to Multi-attribute Decision Making Problems, International Journal of Machine Learning and Cybernetics 8 (2017) 1309–1322.
  • F. Karaaslan, Gaussian Single-valued Neutrosophic Numbers and Its Application in Multi-attribute Decision Making, Neutrosophic Sets and Systems 22 (2018) 101–117.
  • S. Naz, M. Akram, F. Smarandache, Certain Notions of Energy in Single-valued Neutrosophic Graphs, Axioms 7(3) (2018) 1–30.
  • H. Garg, Nancy, Multiple Attribute Decision Making Based on Immediate Probabilities Aggregation Operators for Single-valued and Interval Neutrosophic Sets, Journal of Applied Mathematics and Computing 63 (2020) 619–653.
  • N. L. A. M. Kamal, L. Abdullah, I. Abdullah, S. Alkhazaleh, F. Karaaslan, Multi-valued Interval Neutrosophic Soft Set: Formulation and Theory, Neutrosophic Sets and Systems 30 (2019) 149–170.
  • H. Wang, F. Smarandache, Y. Q. Zhang, R. Sunderraman, Interval Neutrosophic Sets and Logic: Theory and Applications in Computing, Hexis: Phoenox, AZ, USA, 2005.
  • M. Abdel-Basset, M. Mohamed, M. Elhoseny, L. H. Son, F. Chiclana, A. E. N. H. Zaied, Cosine Similarity Measures of Bipolar Neutrosophic Set for Diagnosis of Bipolar Disorder Diseases, Artificial Intelligence in Medicine 101 (2019).
  • A. Awang, M. Ali, L. Abdullah, Hesitant Bipolar-valued Neutrosophic set: Formulation, Theory and Application, IEEE Access 7 (2019) 176099–176114.
  • S. T. Tehrim, M. Riaz, A Novel Extension of TOPSIS to MCGDM with Bipolar Neutrosophic Soft Topology, Journal of Intelligent and Fuzzy Systems 37 (2019) 5531–5549.
  • M. Ali, İ. Deli, F. Smarandache, The Theory of Neutrosophic Cubic Sets and Their Applications in Pattern Recognition, Journal of Intelligent and Fuzzy Systems 30 (2016) 1957–1963.
  • M. Gulistan, M. Mohammad, F. Karaaslan, S. Kadry, S. Khan, H. A. Wahab, Neutrosophic Cubic Heronian Mean Operators with Applications in Multiple Attribute Group Decision-making Using Cosine Similarity Functions, International Journal of Distributed Sensor Networks 15(9) (2019) 1–21.
  • Y. B. Jun, F. Smarandache, C. S. Kim, Neutrosophic Cubic Sets, New Mathematics and Natural Computation, 13 (2015) 41–54.
  • H. Kamacı, Neutrosophic Cubic Hamacher Aggregation Operators and Their Applications in Decision Making, Neutrosophic Sets and Systems 33 (2020) 234–255.
  • M. Akram, N. Ishfaq, S. Sayed, F. Smarandache, Decision-making Approach Based on Neutrosophic Rough Information, Algorithms 11(5) (2018) 1–20.
  • İ. Deli, S. Eraslan, N. Çağman, ivnpiv-Neutrosophic Soft Sets and Their Decision Making Based on Similarity Measure, Neural Computing and Applications 29(1) (2018) 187–2003.
  • X. Peng, F. Smarandache, Novel Neutrosophic Dombi Bonferroni Mean Operators with Mobile Cloud Computing Industry Evaluation, Expert Sytems 36 (2019) 1–22.
  • M. Ali, F. Smarandache, Complex Neutrosophic Set, Neural Computing and Applications 28 (2017) 1817–1834.
  • A. Al-Quran, S. Alkhazaleh, Relations between The Complex Neutrosophic Sets with Their Applications in Decision Making, Axioms 7 (2018) 1–15.
  • Z. Pawlak, Rough sets, International Journal of Computer and Information Sciences 11 (1982) 341–356.
  • D. Dubios, H. Prade, Rough Fuzzy Sets and Fuzzy Rough Sets, International Journal of General Systems 17 (1990) 191–208.
  • K. V. Thomas, L. S. Nair, Rough Intuitionistic Fuzzy Sets in a Lattice, International Mathematical Forum 6 (2011) 1327–1335.
  • S. Broumi, F. Smarandache, M. Dhar, Rough Neutrosophic Sets, Italian Journal of Pure and Applied Mathematics 32 (2014) 493–502.
  • K. Mondal, S. Pramanik, Rough Neutrosophic Multi-attribute Decision Making Based on Rough Accuracy Score Functions, Neutrosophic Sets and Systems 8 (2015) 14–21.
  • A. E. Samuel, R. Narmadhagnanam, Rough Neutrosophic Sets in Medical Diagnosis, International Journal of Pure and Applied Mathematics 120 (2018) 79–87.
  • M. Abdel-Basset, M. Mohamed, The Role of Single Valued Neutrosophic Sets and Rough Sets in Smart City: Imperfect and Incomplete Information Systems, Measurement 124 (2018) 47–55.
  • R. Cahtterjee, P. Majumdar, S. K. Samanta, On Some Similarity Measures and Entropy on Quadripartitioned Single Valued Neutrosophic Sets, Journal of Intelligent and Fuzzy Systems 30 (2016) 2475–2485.
  • N. D. Belnap, A Useful Four-Valued Logic, Modern Uses of Multiple-Valued Logic, Springer Netherlands (1977) 5–37.
  • M. Mohan, M. Krishnaswamy, Axiomatic Characterizations of Quadripartitioned Single Valued Neutrosophic Rough Sets, Journal of New Theory (30) (2020) 86–99.
  • K. Sinha, P. Majumdar, Bipolar Quadripartitioned Single Valued Neutrosophic Rough Set, Neutrosophic Sets and Systems 38 (2020) 244–257.
  • S. Roy, J.-G. Lee, A. Pal, S. K. Samanta, Similarity Measures of Quadripartitioned Single Valued Bipolar Neutrosophic Sets and Its Application in Multi-criteria Decision Making Problems, Symmetry 12(6) (2020) 1–16.

Rough Approximations of Complex Quadripartitioned Single Valued Neutrosophic Sets

Year 2021, Issue: 34, 45 - 63, 30.03.2021

Abstract

The quadripartitioned single valued neutrosophic set consisting of the real-valued amplitude terms: truth-membership grade, contradiction-membership grade, ignorance-membership grade and falsity-membership grade, cannot handle complex-valued information. In this paper, the ranges of grades of truth-membership, contradiction-membership, ignorance-membership and falsity-membership are extended from the interval [0,1] to unit circle in the complex plane, and thus the notion of complex quadripartitioned single valued neutrosophic set is proposed. Further, some fundamental operations and relations on the complex quadripartitioned single valued neutrosophic sets are studied. Secondly, the rough approximations of complex quadripartitioned single valued neutrosophic sets are derived, and then their related remarkable properties are discussed. Finally, a formulation is proposed to measure rough degree of complex quadripartitioned single valued neutrosophic sets in the approximate space.

References

  • L. A. Zadeh, Fuzzy Sets, Information and Control 8(3) (1965) 338–353.
  • K. T. Atanassov, Intuitionistic Fuzzy Sets, Fuzzy Sets and Systems 20 (1986) 87–96.
  • N. Çağman, S. Enginoğlu, Fuzzy Soft Matrix Theory and Its Application in Decision Making, Iranian Journal of Fuzzy Systems 9(1) (2012) 109–119.
  • E. Aygün, H. Kamacı, Some Generalized Operations in Soft Set Theory and Their Role in Similarity and Decision Making, Journal of Intelligent and Fuzzy Systems 36(6) (2019) 6537–6547.
  • H. Kamacı, Interval-valued Fuzzy Parameterized Intuitionistic Fuzzy Soft Sets and Their Applications, Cumhuriyet Science Journal 40(2) (2019) 317–331.
  • H. Kamacı, Linear Diophantine Fuzzy Algebraic Structures, Journal of Ambient Intelligence and Humanized Computing (2021) In Press. https://doi.org/10.1007/s12652-020-02826-x
  • M. J. Khan, P. Kumam, P. Liu, W. Kumam, S. Ashraf, A Novel Approach to Generalized Intuitionistic Fuzzy Soft Sets and Its Application in Decision Support System, Mathematics 7(8) (2019) 1–21.
  • M. Riaz, R. Hashmi, Linear Diophantine Fuzzy Set and Its Applications towards Multi-attribute Decision Making Problems, Journal of Intelligent and Fuzzy Systems 37 (2019) 5417–5439.
  • M. Riaz, R. Hashmi, MAGDM for Agribusiness in the Environment of Various Cubic m-polar Fuzzy Averaging Aggregation Operators, Journal of Intelligent and Fuzzy Systems 37 (2019) 3671–3691.
  • S. Petchimuthu, H. Garg, H. Kamacı, A.O. Atagün, The Mean Operators and Generalized Products of Fuzzy Soft Matrices and Their Applications in MCGDM, Computational and Applied Mathematics 39(2) (2020) 1–32 Article No: 68.
  • S. Petchimuthu, H. Kamacı, The Adjustable Approaches to Multi-criteria Group Decision Making Based on Inverse Fuzzy Soft Matrices, Scientia Iranica (2020) In Press. doi: 10.24200/sci.2020.54294.3686
  • F. Smarandache, Neutrosophy: Neutrosophic Probability, Set, and Logic: Analytic Synthesis & Synthetic Analysis, Rehoboth: American Research Press, USA, 1998.
  • H. Wang, F. Smarandache, Y. Q. Zhang, R. Sunderraman, Single Valued Neutrosophic Set, Multispace and Multistructure 4 (2010) 410–413.
  • İ. Deli, Y. Şubaş, A Ranking Method of Single Valued Neutrosophic Numbers and Its Applications to Multi-attribute Decision Making Problems, International Journal of Machine Learning and Cybernetics 8 (2017) 1309–1322.
  • F. Karaaslan, Gaussian Single-valued Neutrosophic Numbers and Its Application in Multi-attribute Decision Making, Neutrosophic Sets and Systems 22 (2018) 101–117.
  • S. Naz, M. Akram, F. Smarandache, Certain Notions of Energy in Single-valued Neutrosophic Graphs, Axioms 7(3) (2018) 1–30.
  • H. Garg, Nancy, Multiple Attribute Decision Making Based on Immediate Probabilities Aggregation Operators for Single-valued and Interval Neutrosophic Sets, Journal of Applied Mathematics and Computing 63 (2020) 619–653.
  • N. L. A. M. Kamal, L. Abdullah, I. Abdullah, S. Alkhazaleh, F. Karaaslan, Multi-valued Interval Neutrosophic Soft Set: Formulation and Theory, Neutrosophic Sets and Systems 30 (2019) 149–170.
  • H. Wang, F. Smarandache, Y. Q. Zhang, R. Sunderraman, Interval Neutrosophic Sets and Logic: Theory and Applications in Computing, Hexis: Phoenox, AZ, USA, 2005.
  • M. Abdel-Basset, M. Mohamed, M. Elhoseny, L. H. Son, F. Chiclana, A. E. N. H. Zaied, Cosine Similarity Measures of Bipolar Neutrosophic Set for Diagnosis of Bipolar Disorder Diseases, Artificial Intelligence in Medicine 101 (2019).
  • A. Awang, M. Ali, L. Abdullah, Hesitant Bipolar-valued Neutrosophic set: Formulation, Theory and Application, IEEE Access 7 (2019) 176099–176114.
  • S. T. Tehrim, M. Riaz, A Novel Extension of TOPSIS to MCGDM with Bipolar Neutrosophic Soft Topology, Journal of Intelligent and Fuzzy Systems 37 (2019) 5531–5549.
  • M. Ali, İ. Deli, F. Smarandache, The Theory of Neutrosophic Cubic Sets and Their Applications in Pattern Recognition, Journal of Intelligent and Fuzzy Systems 30 (2016) 1957–1963.
  • M. Gulistan, M. Mohammad, F. Karaaslan, S. Kadry, S. Khan, H. A. Wahab, Neutrosophic Cubic Heronian Mean Operators with Applications in Multiple Attribute Group Decision-making Using Cosine Similarity Functions, International Journal of Distributed Sensor Networks 15(9) (2019) 1–21.
  • Y. B. Jun, F. Smarandache, C. S. Kim, Neutrosophic Cubic Sets, New Mathematics and Natural Computation, 13 (2015) 41–54.
  • H. Kamacı, Neutrosophic Cubic Hamacher Aggregation Operators and Their Applications in Decision Making, Neutrosophic Sets and Systems 33 (2020) 234–255.
  • M. Akram, N. Ishfaq, S. Sayed, F. Smarandache, Decision-making Approach Based on Neutrosophic Rough Information, Algorithms 11(5) (2018) 1–20.
  • İ. Deli, S. Eraslan, N. Çağman, ivnpiv-Neutrosophic Soft Sets and Their Decision Making Based on Similarity Measure, Neural Computing and Applications 29(1) (2018) 187–2003.
  • X. Peng, F. Smarandache, Novel Neutrosophic Dombi Bonferroni Mean Operators with Mobile Cloud Computing Industry Evaluation, Expert Sytems 36 (2019) 1–22.
  • M. Ali, F. Smarandache, Complex Neutrosophic Set, Neural Computing and Applications 28 (2017) 1817–1834.
  • A. Al-Quran, S. Alkhazaleh, Relations between The Complex Neutrosophic Sets with Their Applications in Decision Making, Axioms 7 (2018) 1–15.
  • Z. Pawlak, Rough sets, International Journal of Computer and Information Sciences 11 (1982) 341–356.
  • D. Dubios, H. Prade, Rough Fuzzy Sets and Fuzzy Rough Sets, International Journal of General Systems 17 (1990) 191–208.
  • K. V. Thomas, L. S. Nair, Rough Intuitionistic Fuzzy Sets in a Lattice, International Mathematical Forum 6 (2011) 1327–1335.
  • S. Broumi, F. Smarandache, M. Dhar, Rough Neutrosophic Sets, Italian Journal of Pure and Applied Mathematics 32 (2014) 493–502.
  • K. Mondal, S. Pramanik, Rough Neutrosophic Multi-attribute Decision Making Based on Rough Accuracy Score Functions, Neutrosophic Sets and Systems 8 (2015) 14–21.
  • A. E. Samuel, R. Narmadhagnanam, Rough Neutrosophic Sets in Medical Diagnosis, International Journal of Pure and Applied Mathematics 120 (2018) 79–87.
  • M. Abdel-Basset, M. Mohamed, The Role of Single Valued Neutrosophic Sets and Rough Sets in Smart City: Imperfect and Incomplete Information Systems, Measurement 124 (2018) 47–55.
  • R. Cahtterjee, P. Majumdar, S. K. Samanta, On Some Similarity Measures and Entropy on Quadripartitioned Single Valued Neutrosophic Sets, Journal of Intelligent and Fuzzy Systems 30 (2016) 2475–2485.
  • N. D. Belnap, A Useful Four-Valued Logic, Modern Uses of Multiple-Valued Logic, Springer Netherlands (1977) 5–37.
  • M. Mohan, M. Krishnaswamy, Axiomatic Characterizations of Quadripartitioned Single Valued Neutrosophic Rough Sets, Journal of New Theory (30) (2020) 86–99.
  • K. Sinha, P. Majumdar, Bipolar Quadripartitioned Single Valued Neutrosophic Rough Set, Neutrosophic Sets and Systems 38 (2020) 244–257.
  • S. Roy, J.-G. Lee, A. Pal, S. K. Samanta, Similarity Measures of Quadripartitioned Single Valued Bipolar Neutrosophic Sets and Its Application in Multi-criteria Decision Making Problems, Symmetry 12(6) (2020) 1–16.
There are 43 citations in total.

Details

Primary Language English
Subjects Mathematical Sciences
Journal Section Research Article
Authors

Hüseyin Kamacı 0000-0002-0429-6713

Publication Date March 30, 2021
Submission Date January 27, 2021
Published in Issue Year 2021 Issue: 34

Cite

APA Kamacı, H. (2021). Rough Approximations of Complex Quadripartitioned Single Valued Neutrosophic Sets. Journal of New Theory(34), 45-63.
AMA Kamacı H. Rough Approximations of Complex Quadripartitioned Single Valued Neutrosophic Sets. JNT. March 2021;(34):45-63.
Chicago Kamacı, Hüseyin. “Rough Approximations of Complex Quadripartitioned Single Valued Neutrosophic Sets”. Journal of New Theory, no. 34 (March 2021): 45-63.
EndNote Kamacı H (March 1, 2021) Rough Approximations of Complex Quadripartitioned Single Valued Neutrosophic Sets. Journal of New Theory 34 45–63.
IEEE H. Kamacı, “Rough Approximations of Complex Quadripartitioned Single Valued Neutrosophic Sets”, JNT, no. 34, pp. 45–63, March 2021.
ISNAD Kamacı, Hüseyin. “Rough Approximations of Complex Quadripartitioned Single Valued Neutrosophic Sets”. Journal of New Theory 34 (March 2021), 45-63.
JAMA Kamacı H. Rough Approximations of Complex Quadripartitioned Single Valued Neutrosophic Sets. JNT. 2021;:45–63.
MLA Kamacı, Hüseyin. “Rough Approximations of Complex Quadripartitioned Single Valued Neutrosophic Sets”. Journal of New Theory, no. 34, 2021, pp. 45-63.
Vancouver Kamacı H. Rough Approximations of Complex Quadripartitioned Single Valued Neutrosophic Sets. JNT. 2021(34):45-63.


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