Volume 25 , Issue 1 , PP: 453-462, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Franklin A. Molina-Borja 1 , Wendy Maribel-Molina 2 * , Wilmer L. Toul Ayala 3 , Freddy X. Guamangate-Chiguano 4 , Sanjar Mirzaliev 5
Doi: https://doi.org/10.54216/IJNS.250140
This article explores the innovative application of multi-criteria methods and neutrosophic logic in the analysis of productive factors, highlighting how these approaches can offer a more nuanced and comprehensive view of industrial and business dynamics ̣ Multicriteria methods allow different aspects to be evaluated simultaneously, considering complex variables that affect productivity and efficiency in various sectors ̣ On the other hand, neutrosophic logic introduces a theoretical framework that manages the uncertainty and imprecision inherent in many business decisions, offering tools to better interpret and manage the variabilities and ambiguities that influence productive results ̣ This integrative approach not only seeks to improve accuracy in the evaluation of critical factors such as cost, quality and time, but also to promote more informed and strategic decision making in competitive and changing environments ̣ By combining rigorous analysis with interpretive flexibility, the door is opened to new methodologies that can effectively adapt to the complexities of the globalized market and the dynamic demands of consumers ̣ This article examines case studies and practical examples to illustrate how these methods can be successfully applied in the optimization of production processes and in the formulation of business strategies that seek not only to remain competitive, but also to anticipate and proactively respond to emerging challenges ̣
Neutrosophic Logic, Neutrosophic Multicriteria, Productive Factors ̣
[1] Lobna Osman, Multi-criteria decision-making model for industrial arc welding robots, International Journal of Wireless and Ad Hoc Communication, Vol ̣ 4, no ̣ 1, (2022): 19-30 (Doi: https://doi ̣org/10 ̣54216/IJWAC ̣040102 )
[2] Praveen, G. Pandian, D. F., C. "IntelliCare: Integrating IoT and Machine Learning for Remote Patient Monitoring in Healthcare: A Comprehensive Framework," Journal of Journal of Cognitive Human-Computer Interaction, vol. 7, no. 2, pp. 50-59, 2024. DOI: https://doi.org/10.54216/JCHCI.070205
[3] Smarandache, F ̣ (2021) Probabilistics and biostatistics are generalizations of probabilistic and multivariate statistics ̣ Neutrosophic Sets and Systems, 43, 280-289 ̣
[4] Smarandache, F ̣ (2022) ̣ Practical applications of IndetermSoft Set and IndetermHyperSoft Set and Introduction to TreeSoft Set as an extension of MultiSoft Set ̣ Neutrosophic Computing and Machine Learning, 25, 1-8 ̣
[5] Md, ZA, NA, N ̣ Hakimi, M ̣ Ahmad, G ̣ Al-Sharqi, F ̣ Al-Quran, AM, A ̣ (2024) ̣ A DEMATEL analysis of the complex barriers hindering the adoption of digitalization technology in the Malaysian agricultural sector ̣ Journal of Journal of Intelligent Systems and the Internet of Things, 13 (1), 21-30.
[6] Phani, S ̣ Sandeep, K ̣ Raghavendra, N ̣ Sharma, A ̣ Pandey, J ̣ Chouhan, V ̣ (2024) ̣ Outlier management and its impact on diabetes prediction: a conjoint voting study ̣ Journal of Journal of Intelligent Systems and the Internet of Things, 12 (1), 08-19 ̣ Smarandache, F ̣, Ricardo, JE, Caballero, EG, Leyva Vázquez, MY, & Hernández, NB (2020) ̣ Delphi method to evaluate scientific research proposals in a neutrosophic environment ̣ Neutrosophic sets and systems, 34 ̣
[7] Praveena, N ̣, Begum, S ̣G ̣, Rajkumar, A ̣, Nagarajan, D ̣, and Said, B ̣ (2022) ̣ Nonagonal neutrosophic number and its application in the optimization technique ̣ International Journal of Neutrosophic Sciences (IJNS), 19(2) ̣
[8] Kang, B ̣-G ̣ and Nam, Y ̣ (2024) “ Quantum Intelligence in Beyond 5G Networks: Current Progress, and Open Avenues ”, Sustainable Machine Intelligence Journal , 7, pp ̣ (4):1–10 ̣ doi:10 ̣61356/SMIJ ̣2024 ̣77104 ̣
[9] A ̣, MRMendoza-Poma, MA, FA, M ̣ (2024) ̣ Technological Tools before and after COVID-19 in Ecuador ̣ Journal of Fusion: Practice and Applications, 16(1), 244-252 ̣ DOI: https://doi ̣org/10 ̣54216/FPA ̣160117
[10] I ̣, CJ, F ̣ Portilla, ̣ (2024) ̣ Integrative analysis of diesel-kerosene mixtures on engine performance and emissions ̣ Journal of Fusion: Practice and Applications, 16 (1), 264-274 ̣ DOI: https://doi ̣org/10 ̣54216/FPA ̣160119
[11] Aziz, A. Mirzaliev, S. Maqsudjon, Y. "Enhancing Malware Detection in Cybersecurity through Optimized Machine Learning Technique," Journal of International Journal of Advances in Applied Computational Intelligence, vol. 4, no. 2, pp. 26-32, 2023. DOI: https://doi.org/10.54216/IJAACI.040203 ̣
[12] Bera, T ̣, & Mahapatra, N ̣K ̣ (2020) ̣ An approach to solve the linear programming problem using single valued trapezoidal neutrosophic number ̣ International Journal of Neutrosophic Science, 3(2), 54-66 ̣
[13] Praveena, N ̣, Begum, S ̣G ̣, Rajkumar, A ̣, Nagarajan, D ̣, & Said, B ̣ (2022) ̣ Nonagonal Neutrosophic Number and its Application in Optimization Technique ̣ International Journal of Neutrosophic Science (IJNS), 19(2) ̣
[14] Dey, S ̣, & Ray, G ̣ C ̣ (2023) ̣ Properties of Redefined Neutrosophic Composite Relation ̣ Neutrosophic Systems With Applications , 7 , 1-12 ̣ https://doi ̣org/10 ̣61356/j ̣nswa ̣2023 ̣27
[15] Pandiselvi, M ̣, & Jeyaraman, M ̣ (2024) ̣ Fixed Point Results in Complex Valued Neutrosophic b-Metric Spaces with Application ̣ Neutrosophic Systems With Applications , 17 , 21-33 ̣ https://doi ̣org/10 ̣61356/j ̣nswa ̣2024 ̣17244
[16] Z., A. Almajed, R. "Improving Network Security using Tunicate Swarm Algorithm with Stacked Deep Learning Model on IoT Environment," Journal of International Journal of Wireless and Ad Hoc Communication, vol. 8, no. 2, pp. 67-80, 2024. DOI: https://doi.org/10.54216/IJWAC.080207
[17] Deli, I., & Şubaş, Y. (2017). 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(4), 1309-1322.
[18] Rong, Y., Liu, Y., & Pei, Z. (2020). Generalized single-valued neutrosophic power aggregation operators based on Archimedean copula and co-copula and their application to multi-attribute decision-making. Ieee Access, 8, 35496-35519.