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2000
Volume 1, Issue 2
  • ISSN: 2666-2949
  • E-ISSN: 2666-2957

Abstract

This article deals with a new decision-making process under a neutrosophic fuzzy environment. First of all, we develop various types of neutrosophic set by means of neutrosophic cones. In fact, this set has been developed from the general equation of second degree in the field of classical geometry. Considering the neutrosophic components “true membership”, the “falsity membership” and the “indeterminacy” as the three variables of three-dimensional rectangular axes we develop various types of cones like structures of the traditional neutrosophic set and hence a new defuzzification method.

Fuzzy set has some limitations in its domain [0,1] to describe real-life decision-making problems. The problem of difficulties lies in the variation of lower and upper bound and also the single valued logic (membership function only) systems. In reality, three valued logics (membership function, non-membership function and indeterminacy) have been established in the name of Neutrosophic logic/sets, and two valued logics (membership and non-membership functions) have developed in the name of Intuitionistic fuzzy logic/sets. In three valued logic system, the concepts of negation are now a growing subject of any group decision making problems. However, to draw a clear estimation of a neutrosophic decision has not yet been studied by modern researchers.

Various kinds of new establishments of the Neutrosophic set have been studied from the algebraic point of view, along with some polynomial structures. We have seen that; no finite geometric structures have been developed yet to qualify the real-world problems.

We consider the three components of a neutrosophic set as the variables of three-dimensional geometry. Since, the decisions are compact and constructive, we may consider the convex neutrosophic cone for analyzing single/ multiple group decision making problems.

Various definitions are made over the cone- fundamentals using non-standard neutrosophic set in the domain [−1,1] x [−1,1] x [−1,1]. Then, we studied the constructions of several expressions/functions of neutrosophic cones, such as reciprocal cone, and enveloping cone a novel thinking process. Then using some examples, we have developed a new ranking method along with their geometric structures exclusively.

In this changing world, the nature of decision-making behaviors is also changing rapidly. So, the need of establishing new concepts is an emerging area of research. However, more attention is required in discussing such vital issues in near future. The proposed approach may be applied to the decision-making problems of global issues also.

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2022-09-01
2024-11-22
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References

  1. SmarandacheF. A Unifying Field in Logics: Neutrosophic Logic, Neutrosophy, Neutrosophic Set, Neutrosophic Probability.RehobothAmerican Research Press2003
    [Google Scholar]
  2. SmarandacheF. n-Valued refined neutrosophic logic and its applications in physics.Prog. Phys.20134143146
    [Google Scholar]
  3. SmarandacheF. Neutrosophic Theory and Applications.Hanoi, VietnamLe Quy Don Technical University, Faculty of Information Technology2016
    [Google Scholar]
  4. KhaledH. SmarandacheF. EssaA. A neutrosophic binomial factorial theorem with their refrains.Neutrosophic Sets Syst.201614711
    [Google Scholar]
  5. KhaledH. YounusA. MohammadA. The rectangle neutrosophic fuzzy matrices.J. Educ. Fac.20191530153024
    [Google Scholar]
  6. SmarandacheF. AbobalaM. n-refined neutrosophic vector spaces.Int. J. Neutrosophic Sci.20207475410.54216/IJNS.070104
    [Google Scholar]
  7. AbobalaM. AH-subspaces in neutrosophic vector spaces.Int. J. Neutrosophic Sci.20206808610.54216/IJNS.060204
    [Google Scholar]
  8. AbobalaM. On some neutrosophic algebraic equations.J. New Theory2020332632
    [Google Scholar]
  9. AbobalaM. On refined neutrosophic matrices and their applications in refined neutrosophic algebraic equations.J. Math.vol. 2022, p. 2071887, 2021.
    [Google Scholar]
  10. AbobalaM. Neutrosophic real inner product spaces.Neutrosophic Sets Syst.202143225246
    [Google Scholar]
  11. AbobalaM. On some algebraic properties of n-refined neutrosophic elements and n-refined neutrosophic linear equations.Math. Probl. Eng.202120215573072
    [Google Scholar]
  12. AbobalaM. On some special substructures of refined neutrosophic rings.Int. J. Neutrosophic Sci.20205596610.54216/IJNS.050105
    [Google Scholar]
  13. AbobalaM. On the representation of neutrosophic matrices by neutrosophic linear transformations.J. Math.202120215591576
    [Google Scholar]
  14. AbobalaM. HatipA. An algebraic approach to neutrosophic euclidean geometry.Neutrosophic Sets Syst.202143114123
    [Google Scholar]
  15. AbobalaM. HatipA. OlgunN. BroumiS. SalamaA. KhaledE.H. The algebraic creativity in the neutrosophic square matrices.Neutrosophic Sets Syst.202140111
    [Google Scholar]
  16. AliR. Neutrosophic matrices and their properties.Hal- Archives2021
    [Google Scholar]
  17. AliR. A short note on the solution of n-refined neutrosophic linear diophantine equations.Int. J. Neutrosophic Sci.2021154351
    [Google Scholar]
  18. AswadM. A study of neutrosophic differential equation by using a neutrosophic thick function.Neutrosophic Knowledge202011423
    [Google Scholar]
  19. AswadM. A study of the integration of neutrosophic thick function.Int. J. Neutrosophic Sci.2020697105
    [Google Scholar]
  20. AswadF.M. A study of neutrosophic Bi matrix.Neutrosophic Knowledge20212110
    [Google Scholar]
  21. OlgunN. HatipA. The effect of the neutrosophic logic on the decision making. In: Quadruple Neutrosophic Theory and Applications.BelgiumEU, Pons Editions Brussels2020238253
    [Google Scholar]
  22. OlgunN. HatipA. BalM. AbobalaM. A novel approach to necessary and sufficient conditions for the diagonalization of refined neutrosophic matrices.Int. J. Neutrosophic Sci.202116727910.54216/IJNS.160202
    [Google Scholar]
  23. IbrahimM.A. AgboolaA.A.A. BadmusB.S. AkinleyeS.A. On refined neutrosophic vector spaces II.Int. J. Neutrosophic Sci.202092236
    [Google Scholar]
  24. SankariH. AbobalaM. Neutrosophic linear diophantine equations with two variables.Neutrosophic Sets Syst.2020382230
    [Google Scholar]
  25. SankariH. AbobalaM. Solving three conjectures about neutrosophic quadruple vector spaces.Neutrosophic Sets Syst.2020387077
    [Google Scholar]
  26. ZeinaM.B. Erlang service queueing model with neutrosophic parameters.Int. J. Neutrosophic Sci.2020610611210.54216/IJNS.060202
    [Google Scholar]
  27. ZeinaM.B. Neutrosophic event-based queueing model.Int. J. Neutrosophic Sci.20206485510.54216/IJNS.060103
    [Google Scholar]
  28. IbrahimM. AbobalaM. An introduction to refined neutrosophic number theory.Neutrosophic Sets Syst.2021454053
    [Google Scholar]
  29. BiswasP. PramanikS. GiriB.C. Cosine similarity measure based multi-attribute decision making with trapezoidal fuzzy neutrosophic numbers.Neutrosophic Sets and System201484656
    [Google Scholar]
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