Abstract
In this paper, we define the new concept of interval-valued triangular linguistic neutrosophic fuzzy set and operational laws. We discuss the IVTLNFWAA operator of IVTLNFS, and then the score function of IVTLNFS is introduced. We define the hamming distance of IVTLNFS. We define the triangular linguistic neutrosophic cubic fuzzy number and operational laws. We also discuss the triangular linguistic neutrosophic cubic fuzzy number, such as the TLNCFWAA operator. We define the score function and accuracy of TLNCFNs. We also discuss the hamming distance of TLNCFNs. We discuss some basic properties of the proposed operator, including idempotency and commutativity. The new concept of the triangular linguistic neutrosophic cubic fuzzy TOPSIS method is introduced. Furthermore, we extend the MCDM method based on the triangular linguistic neutrosophic cubic fuzzy TOPSIS method. Finally, an illustrative example is given to verify and demonstrate the practicality and effectiveness of the proposed method.
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Acknowledgements
The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University, Abha 61413, Saudi Arabia for funding this work through research groups program under grant number G.R.P-20/42. This study is not supported by any source or any organizations.
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Appendices
Appendix A
Proof
Since \( \overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{j} = \overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b} , \) then TLNCFWAA \( (\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{1} ,\,\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{2} , \ldots ,\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{n} ) = \)\( \left\{ {\begin{array}{*{20}c} {s_{{\mathop \prod \limits_{j = 1}^{n} \theta_{j}^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} }} ,[\mathop \prod \limits_{j = 1}^{n} r_{j}^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} ,\,\mathop \prod \limits_{j = 1}^{n} s_{j}^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} ,\,\mathop \prod \limits_{j = 1}^{n} t_{j}^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} ],} \\ {\langle [1 - \mathop \prod \limits_{j = 1}^{n} (1 - F_{{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{n}_{j} }}^{ - } )^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} ,\,1 - \mathop \prod \limits_{j = 1}^{n} (1 - F_{{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{n}_{j} }}^{ + } )^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} ],} \\ {1 - \mathop \prod \limits_{j = 1}^{n} (1 - F_{{n_{j} }} )^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} \rangle ,} \\ {\langle [\mathop \prod \limits_{j = 1}^{n} (G_{{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{n}_{j} }}^{ - } )^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} ,\,\mathop \prod \limits_{j = 1}^{n} (G_{{n_{j} }}^{ + } )^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} ],\,\mathop \prod \limits_{j = 1}^{n} G_{{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{n}_{j} }}^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} \rangle ,} \\ {\langle [\mathop \prod \limits_{j = 1}^{n} (I_{{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{n}_{j} }}^{ - } )^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} ,\,\mathop \prod \limits_{j = 1}^{n} (I_{{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{n}_{j} }}^{ + } )^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} ],\,\mathop \prod \limits_{j = 1}^{n} I_{{\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{n}_{j} }}^{{\mathop \sum \limits_{j = 1}^{n} w_{j} }} \rangle } \\ \end{array} } \right\} \) \( = \left\{ {\begin{array}{*{20}c} {s_{{\theta_{j} }} ,[r_{j} ,\,s_{j} ,\,t_{j} ];} \\ {\langle [F_{j}^{ - } ,\,F_{j}^{ + } ],\,F_{j} \rangle ,} \\ {\langle [G_{j}^{ - } ,\,G_{j}^{ + } ],\,G_{j} \rangle ,} \\ {\langle [I_{j}^{ - } ,\,I_{j}^{ + } ],\,I_{j} \rangle } \\ \end{array} } \right\} = \overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b} . \)□
Appendix B
Proof
Let TLNCFWAA \( (\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{1} ,\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{2} , \ldots ,\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{n} ) = \mathop \sum \limits_{j = 1}^{n} w_{j} \overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{j} , \) TLNCFWAA \( (\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{1}^{ * } ,\,\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{2}^{ * } , \ldots ,\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{n}^{ * } ) = \mathop \sum \limits_{j = 1}^{n} w_{j} \overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{j}^{ * } . \)□
Since \( \overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{j} \le \overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{j}^{ * } \) for all \( j, \) then we have TLNCFWAA \( (\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{1} ,\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{2} , \ldots ,\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{n} ) \le \) TLNCFWAA \( (\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{1}^{ * } ,\,\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{2}^{ * } , \ldots ,\overset{\lower0.5em\hbox{$\smash{\scriptscriptstyle\frown}$}}{b}_{n}^{ * } ) \).
Reviewer #1: No. What I meant was, the paper needs a theorem to prove that the solutions of original fuzzy models and embedded to interval form are the same. Otherwise it is rejected.
Response: We have added Theorem 2.6 and written below
Theorem 2.6
Every fuzzy set (FS) can be extended to an IVFS.
Proof
Let \( X \) be any universe of discourse and \( A \subseteq X. \) Then, an FS in \( A \) is a mapping \( \mu_{A} \;\;:\;\;A \to [0,\,1]. \)□
The value \( \mu_{A} (a) \) is said to be a degree of membership of \( a \) in \( A. \)
Define a multi-interval \( S \) of \( [0,\,1] \) such that \( S = [\mu_{A} (a),\,\mu_{A} (a) + c],\forall a \in A \)where \( c \) is a rational number such that \( 0 \le \mu_{A} (a) \le \mu_{A} (a) + c \le 1. \)
Now, we have an IVFS \( \mu_{A} (a) \) in \( A \) defined by \( \mu_{A} (a) = [\mu_{A} (a),\,\mu_{A} (a) + c],\forall a \in A \)
It completes the proof.□
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Aslam, M., Fahmi, A., Almahdi, F.A.A. et al. Extension of TOPSIS method for group decision-making under triangular linguistic neutrosophic cubic sets. Soft Comput 25, 3359–3376 (2021). https://doi.org/10.1007/s00500-020-05427-0
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DOI: https://doi.org/10.1007/s00500-020-05427-0