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International Journal of Neutrosophic Science
Volume 23 , Issue 4, PP: 88-103 , 2024 | Cite this article as | XML | Html |PDF

Title

Group decision-making based on distance measures settings for single-valued neutrosophic fuzzy soft expert environment

  Faisal Al-Sharqi 1 * ,   Ashraf Al-Quran 2 ,   Agaeb Mahal Alanzi 3 ,   Hamiden Abd El- Wahed Khalifa 4 ,   Rawan A. shlaka 5 ,   Ali Mohammad A. Bany Awad 6 ,   Heba Ghareb Gomaa 7

1  Department of Mathematics, Faculty of Education for Pure Sciences, University Of Anbar, Ramadi, Anbar, Iraq
    (faisal.ghazi@uoanbar.edu.iq)

2  Department of Basic Sciences, Preparatory Year, King Faisal University, Al-Ahsa 31982, Saudi Arabia; Department of mathematics and statistics, College of Science, King Faisal University, Al-Ahsa 31982, Saudi Arabia
    (aalquran@kfu.edu.sa)

3  Department of Mathematics, College of Science, Qassim University, Buraydah, 51452, Saudi Arabia
    (ag.alanazi@qu.edu.sa)

4  Department of Mathematics, College of Science, Qassim University, Buraydah, 51452, Saudi Arabia; Department of Operations and Management Research, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza 12613, Egypt
    (Ha.Ahmed@qu.edu.sa)

5  College of Pharmacy, National University of Science and Technology, Dhi Qar, Iraq
    (rawan-a.shlaka@nust.edu.iq)

6  Deanship of Development and Quality Assurance, King Faisal University, Al-Ahsa 31982, Saudi Arabia
    (abanyawad@kfu.edu.sa)

7  Department of Mathematics and Statistics, Institute for Management Information Systems, Suiz, Egypt
    (dr.heba@suezmis.edu.eg)

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Doi   :   https://doi.org/10.54216/IJNS.230407

Received: July 23, 2023 Revised: November 14, 2023 Accepted: February 29, 2024

Abstract :

A soft expert set is a concept that combines elements of soft sets and expert systems. It aims to incorporate expert knowledge and uncertainty-handling capabilities into the analysis and decision-making processes. On the other hand, the idea of single neutrosophic sets (SVNSs) and fuzzy sets (FSs) are imported models for handling the uncertainty data. In this work, the authors combine the critical features of FSs and SVNSs under expert systems in one model. Accordingly, this model worked to provide decision-makers with more flexibility in the process of interpreting uncertain information. From a scientific point of view, the process of evaluating this high-performance SVNFSES disappears. Therefore, in this paper, we initiated a new approach known as single-valued neutrosophic fuzzy soft expert sets (SVNFSESs) as a new development in a fuzzy soft computing environment. We investigate some fundamental operations on SVNFSESS along with their basic properties. Also, we investigate AND and OR operations between two SVNFSESS as well as several numerical examples to clarify the above fundamental operations. Finally, we have given distance measures (DM) between two SVNFSESs to construct a new algorithm that is used to demonstrate the effectiveness of the method in handling some real-life applications.

Keywords :

Neutrosophic sets; neutrosophic soft sets; Single-valued neutrosophic soft sets; expert soft set; optimization; Decision Making.

References :

[1] F. Smarandache, Neutrosophic probability, set, and logic, American Research Press: Rehoboth, IL, USA, 1998.

[2] L.A. Zadeh,Fuzzy sets, Information and Control, vol 8, pp. 338–353.1965.

[3] D. Molodtsov, Soft set theory, first results, Computers and Mathematics with Applications, vol. 37, no.4- 5, pp. 19-31, 1999.

[4] Y. Al-Qudah and F. Al-Sharqi, Algorithm for decision-making based on similarity measures ofpossibility interval-valued neutrosophic soft setting settings. Int. J. Neutrosophic Sci., vol. 22, no. 3, pp. 69-83, 2023.

[5] Z. bin M. Rodzi et al., “Integrated Single-Valued Neutrosophic Normalized Weighted Bonferroni Mean (SVNNWBM)-DEMATEL for Analyzing the Key Barriers to Halal Certification Adoption in Malaysia,” Int. J. Neutrosophic Sci., vol. 21, no. 3, pp. 106–114, 2023.

[6] Deli, I. (2017). Interval-valued neutrosophic soft sets and its decision making. International Journal of Machine Learning and Cybernetics, 8, 665-676.

[7] F. Al-Sharqi, A. G. Ahmad, A. Al Quran, Mapping on interval complex neutrosophic soft sets, International Journal of Neutrosophic Science, vol.19(4), pp.77-85, 2022.

[8] Binu, R., & Isaac, P. (2019, September). Weighted Similarity Measure and Decision Making in Clinical Application of Neutrosophic Soft Set. In 2019 International Conference on Data Science and Engineering (ICDSE) (pp. 61-65). IEEE.

[9] Broumi, S., Sahin, R., & Smarandache, F. (2014). Generalized interval neutrosophic soft set and its decision making problem. Journal of new results in science, 3(7), 29-47.

[10] Quek, S. G., Garg, H., Selvachandran, G., Palanikumar, M., Arulmozhi, K., & Smarandache, F. (2023). VIKOR and TOPSIS framework with a truthful-distance measure for the (t, s)-regulated interval-valued neutrosophic soft set. Soft Computing, 1-27.

[11] Mohammad Aljanabi. (2023). Navigating the Landscape: A Comprehensive Bibliometric Analysis of Decision-Making Research in Civil Engineering. Mesopotamian Journal of Civil Engineering, 2023.

[12] Ashraf Al-Quran, Faisal Al-Sharqi, Zahari Md. Rodzi, Mona Aladil, Rawan A. shlaka, Mamika Ujianita Romdhini, Mohammad K. Tahat, Obadah Said Solaiman. (2023). The Algebraic Structures of QComplex Neutrosophic Soft Sets Associated with Groups and Subgroups. International Journal of Neutrosophic Science, 22 ( 1 ), 60-76.

[13] Al-Hijjawi, S., & Alkhazaleh, S. (2023). Possibility Neutrosophic Hypersoft Set (PNHSS). Neutrosophic Sets and Systems, 53(1), 7.

[14] F. Al-Sharqi, A. Al-Quran, M. U. Romdhini, Decision-making techniques based on similarity measures of possibility interval fuzzy soft environment, Iraqi Journal for Computer Science and Mathematics, vol. 4, pp.18–29, 2023.

[15] Zail, S. H., Abed, M. M., & Faisal, A. S. (2022). Neutrosophic BCK-algebra and -BCK-algebra. International Journal of Neutrosophic Science, 19(3), 8-15.

[16] Alkhazaleh, S., & Salleh, A. R. (2011). Soft Expert Sets. Adv. Decis. Sci., 2011, 757868-1.

[17] F. Al-Sharqi, M. U. Romdhini, A. Al-Quran, Group decision-making based on aggregation operator and score function of Q-neutrosophic soft matrix, Journal of Intelligent and Fuzzy Systems, vol. 45, pp.305–321, 2023.

[18] A. Al-Quran, F. Al-Sharqi, K. Ullah, M. U. Romdhini, M. Balti and M. Alomai, Bipolar fuzzy hypersoft set and its application in decision making, International Journal of Neutrosophic Science, vol. 20, no. 4, pp. 65-77, 2023.

[19] Sahin, M., Alkhazaleh, S., & Ulucay, V. (2015). Neutrosophic soft expert sets. Applied mathematics, 6(1), 116.

[20] F. Al-Sharqi, A.G. Ahmad, A. Al-Quran, Interval-valued neutrosophic soft expert set from real space to complex space, Computer Modeling in Engineering and Sciences, vol. 132(1), pp. 267–293, 2022.

[21] Uluc¸ay, V., S¸ ahin, M., & Hassan, N. (2018). Generalized neutrosophic soft expert set for multiple-criteria decision-making. Symmetry, 10(10), 437.

[22] Pramanik, S., Dey, P. P., & Giri, B. C. (2015). TOPSIS for single valued neutrosophic soft expert set based multi-attribute decision making problems. Neutrosophic Sets and Systems, 10, 88-95.

[23] F. Al-Sharqi, Y. Al-Qudah and N. Alotaibi, Decision-making techniques based on similarity measures of possibility neutrosophic soft expert sets. Neutrosophic Sets and Systems, 55(1) (2023), 358-382.

[24] Doshi, R., & Hiran, K. K. (2023). Decision Making and IoT: Bibliometric Analysis for Scopus Database. Babylonian Journal of Internet of Things, 2023, 13–22.

[25] Abed, M. M., Al-Jumaili, A. F., Al-sharqi, F. G. Some mathematical structures in a topological group. Journal of Algebra and Applied Mathematics. 2018, 16(2), 99-117.

[26] Al-Quran, A., Hassan, N., & Alkhazaleh, S. (2019). Fuzzy parameterized complex neutrosophic soft expert set for decision under uncertainty. Symmetry, 11(3), 382.

[27] Jamiatun Nadwa Ismail et al. The Integrated Novel Framework: Linguistic Variables in Pythagorean Neutrosophic Set with DEMATEL for Enhanced Decision Support. Int. J. Neutrosophic Sci., vol. 21, no. 2, pp. 129-141, 2023.

[28] M Palanikumar, K Arulmozhi, A Iampan, S Broumi, Medical diagnosis decision making using type- II generalized Pythagorean neutrosophic interval valued soft sets.International Journal of Neutrosophic Science (IJNS) 20 (1), 2023.

[29] M. U. Romdhini, F. Al-Sharqi, A. Nawawi, A. Al-Quran and H. Rashmanlou, Signless Laplacian Energyof Interval-Valued Fuzzy Graph and its Applications, Sains Malaysiana 52(7), 2127-2137, 2023

[30] F. Al-Sharqi, A. Al-Quran and Z. M. Rodzi, Multi-Attribute Group Decision-Making Based on Aggregation Operator and Score Function of Bipolar Neutrosophic Hypersoft Environment, Neutrosophic Sets and Systems, 61(1), 465-492, 2023.

[31] A. Al-Quran, F. Al-Sharqi, A. U. Rahman and Z. M. Rodzi, The q-rung orthopair fuzzy-valued neutrosophic sets: Axiomatic properties, aggregation operators and applications. AIMS Mathematics, 9(2), 5038-5070, 2024.

Cite this Article as :
Style #
MLA Faisal Al-Sharqi, Ashraf Al-Quran, Agaeb Mahal Alanzi, Hamiden Abd El- Wahed Khalifa, Rawan A. shlaka, Ali Mohammad A. Bany Awad, Heba Ghareb Gomaa. "Group decision-making based on distance measures settings for single-valued neutrosophic fuzzy soft expert environment." International Journal of Neutrosophic Science, Vol. 23, No. 4, 2024 ,PP. 88-103 (Doi   :  https://doi.org/10.54216/IJNS.230407)
APA Faisal Al-Sharqi, Ashraf Al-Quran, Agaeb Mahal Alanzi, Hamiden Abd El- Wahed Khalifa, Rawan A. shlaka, Ali Mohammad A. Bany Awad, Heba Ghareb Gomaa. (2024). Group decision-making based on distance measures settings for single-valued neutrosophic fuzzy soft expert environment. Journal of International Journal of Neutrosophic Science, 23 ( 4 ), 88-103 (Doi   :  https://doi.org/10.54216/IJNS.230407)
Chicago Faisal Al-Sharqi, Ashraf Al-Quran, Agaeb Mahal Alanzi, Hamiden Abd El- Wahed Khalifa, Rawan A. shlaka, Ali Mohammad A. Bany Awad, Heba Ghareb Gomaa. "Group decision-making based on distance measures settings for single-valued neutrosophic fuzzy soft expert environment." Journal of International Journal of Neutrosophic Science, 23 no. 4 (2024): 88-103 (Doi   :  https://doi.org/10.54216/IJNS.230407)
Harvard Faisal Al-Sharqi, Ashraf Al-Quran, Agaeb Mahal Alanzi, Hamiden Abd El- Wahed Khalifa, Rawan A. shlaka, Ali Mohammad A. Bany Awad, Heba Ghareb Gomaa. (2024). Group decision-making based on distance measures settings for single-valued neutrosophic fuzzy soft expert environment. Journal of International Journal of Neutrosophic Science, 23 ( 4 ), 88-103 (Doi   :  https://doi.org/10.54216/IJNS.230407)
Vancouver Faisal Al-Sharqi, Ashraf Al-Quran, Agaeb Mahal Alanzi, Hamiden Abd El- Wahed Khalifa, Rawan A. shlaka, Ali Mohammad A. Bany Awad, Heba Ghareb Gomaa. Group decision-making based on distance measures settings for single-valued neutrosophic fuzzy soft expert environment. Journal of International Journal of Neutrosophic Science, (2024); 23 ( 4 ): 88-103 (Doi   :  https://doi.org/10.54216/IJNS.230407)
IEEE Faisal Al-Sharqi, Ashraf Al-Quran, Agaeb Mahal Alanzi, Hamiden Abd El- Wahed Khalifa, Rawan A. shlaka, Ali Mohammad A. Bany Awad, Heba Ghareb Gomaa, Group decision-making based on distance measures settings for single-valued neutrosophic fuzzy soft expert environment, Journal of International Journal of Neutrosophic Science, Vol. 23 , No. 4 , (2024) : 88-103 (Doi   :  https://doi.org/10.54216/IJNS.230407)
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