Academic literature on the topic 'Neutrosophic linguistic variable'

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Journal articles on the topic "Neutrosophic linguistic variable"

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Ye, Jun, Zebo Fang, and Wenhua Cui. "Vector Similarity Measures of Q-Linguistic Neutrosophic Variable Sets and Their Multi-Attribute Decision Making Method." Symmetry 10, no. 10 (2018): 531. http://dx.doi.org/10.3390/sym10100531.

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Since language is used for thinking and expressing habits of humans in real life, the linguistic evaluation for an objective thing is expressed easily in linguistic terms/values. However, existing linguistic concepts cannot describe linguistic arguments regarding an evaluated object in two-dimensional universal sets (TDUSs). To describe linguistic neutrosophic arguments in decision making problems regarding TDUSs, this study proposes a Q-linguistic neutrosophic variable set (Q-LNVS) for the first time, which depicts its truth, indeterminacy, and falsity linguistic values independently correspo
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Fan, Feng, and Hu. "Linguistic Neutrosophic Numbers Einstein Operator and Its Application in Decision Making." Mathematics 7, no. 5 (2019): 389. http://dx.doi.org/10.3390/math7050389.

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Linguistic neutrosophic numbers (LNNs) include single-value neutrosophic numbers and linguistic variable numbers, which have been proposed by Fang and Ye. In this paper, we define the linguistic neutrosophic number Einstein sum, linguistic neutrosophic number Einstein product, and linguistic neutrosophic number Einstein exponentiation operations based on the Einstein operation. Then, we analyze some of the relationships between these operations. For LNN aggregation problems, we put forward two kinds of LNN aggregation operators, one is the LNN Einstein weighted average operator and the other i
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Al-Quran, Ashraf, Hazwani Hashim, and Lazim Abdullah. "A Hybrid Approach of Interval Neutrosophic Vague Sets and DEMATEL with New Linguistic Variable." Symmetry 12, no. 2 (2020): 275. http://dx.doi.org/10.3390/sym12020275.

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Nowadays, real world problems are complicated because they deal with uncertainty and incomplete information. Obviously, such problems cannot be solved by a single technique because of the multiple perspectives that may arise. Currently, the combination of DEMATEL and the neutrosophic environment are still new and not fully explored. Previous studies of DEMATEL and this neutrosophic environment have been carried out based on numerical values to represent a new scale. Until now, little importance has been placed on the development of a linguistic variable for DEMATEL. It is important to develop
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Rahim, Nuraini, Lazim Abdullah, and Binyamin Yusoff. "A Border Approximation Area Approach Considering Bipolar Neutrosophic Linguistic Variable for Sustainable Energy Selection." Sustainability 12, no. 10 (2020): 3971. http://dx.doi.org/10.3390/su12103971.

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In the last few decades, the computational methods under Multi-Criteria Decision-Making (MCDM) have experienced significant growth in research interests from various scientific communities. Multi-Attributive Border Approximation area Comparison (MABAC) is one of the MCDM methods where its computation procedures are based on distances and areas, and able to express a complex decision systematically. Previous literature have suggested the combination of MABAC with fuzzy sets, in which this combination is used to solve problems that are characterized by uncertain and incomplete information. Diffe
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Ismail, Jamiatun Nadwa, Zahari Rodzi, Faisal Al Al-Sharqi, Hazwani Hashim, and Nor Hashimah Sulaiman. "The Integrated Novel Framework: Linguistic Variables in Pythagorean Neutrosophic Set with DEMATEL for Enhanced Decision Support." International Journal of Neutrosophic Science 21, no. 2 (2023): 129–41. http://dx.doi.org/10.54216/ijns.210212.

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This study proposes a methodology that integrates the Pythagorean Neutrosophic Set (PNS) with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach. This integration is intended to effectively handle the challenges of uncertainty and linguistic vagueness that are commonly encountered in multi-criteria decision-making scenarios. The PNS-DEMATEL framework comprises eight distinct steps, wherein the fundamental divergence lies in the creation of a linguistic variable within the PNS-DEMATEL framework. The linguistic variable has been formulated utilizing the PNS methodology, there
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Sharma, M. K., Nitesh Dhiman, Shubham Kumar, Laxmi Rathour, and Vishnu Narayan Mishra. "Neutrosophic Monte Carlo Simulation Approach for Decision Making In Medical Diagnostic Process Under Uncertain Environment." International Journal of Neutrosophic Science 22, no. 1 (2023): 08–16. http://dx.doi.org/10.54216/ijns.220101.

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This work emphasis on the basic notions regarding the Neutrosophic Fuzzy Sets (NFSs) with operations and their applicability in medical diagnostic process. In this manuscript, we developed neutrosophic fuzzy set-based Monte Carlo simulation technique for the decision making in medical diagnostic processin fuzzy environment. In this work, we managed the waiting time and idle time of the doctor during the treatment process of the patients. The various parameters are stated as linguistic variable in the form of NFSs. The developed neutrosophic Monte Carlo simulation technique (NMCST) is extended
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Abdullah, Lazim, and Nur Liyana Amalini Mohd Kamal. "Bipolar Neutrosophic Set-DEMATEL and Its Application to Criteria of Sustainable Urban Transport." International Journal of Applied Mathematics, Computational Science and Systems Engineering 7 (July 7, 2025): 145–53. https://doi.org/10.37394/232026.2025.7.11.

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The Decision-Making Trial and Evaluation Laboratory (DEMATEL) is a widely used decision-making method that employs arithmetic operations and inverse matrices to establish causal relationships among criteria. Previous studies have explored its integration with various indeterminacy-based sets to address multi-criteria decision-making (MCDM) problems characterized by truth, indeterminacy, and falsity information. Unlike single-valued neutrosophic DEMATEL, which directly utilizes three-tuple memberships, this study introduces the bipolar neutrosophic DEMATEL approach. By incorporating positive an
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Razak, Samsiah Abdul, Zahari Md Rodzi, Faisal Al-Sharqi, and Nazirah Ramli. "Revolutionizing Decision-Making in E-Commerce and IT Procurement: An IVPNS-COBRA Linguistic Variable Framework for Enhanced Multi-Criteria Analysis." International Journal of Economic Sciences 14, no. 1 (2025): 1–31. https://doi.org/10.31181/ijes1412025176.

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Real-world challenges in e-commerce strategy selection and IT supplier evaluation are inherently complex due to uncertainty and incomplete information, necessitating a multi-faceted approach for effective decision-making. Traditional single methods often fail to address these complexities adequately. To overcome this limitation, this research introduces an advanced methodology by integrating the Interval-Valued Pythagorean Neutrosophic Set (IVPNS) with the Comprehensive Distance-Based Ranking (COBRA) approach, enhancing the handling of indeterminate information related to truth, falsity, and u
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Mohammad Kamari, Mohammad Shafiq, Zahari Md. Rodzi, and Nor Hanimah Kamis. "Pythagorean Neutrosophic Method Based on the Removal Effects of Criteria (PNMEREC): An Innovative Approach for Establishing Objective Weights in Multi-Criteria Decision-Making Challenges." Malaysian Journal of Fundamental and Applied Sciences 21, no. 1 (2025): 1678–96. https://doi.org/10.11113/mjfas.v21n1.3600.

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In the realm of multi-criteria decision-making (MCDM), the significance of criteria weights cannot be overstated. As a result, researchers have innovated and introduced various approaches aimed at precisely determining these weightings. This paper proposes a novel methodology that combines the Pythagorean neutrosophic set (PNS) with Method Based on the Removal Effects of Criteria (MEREC). This integrated method, PNMEREC seeks to offer a thorough and dependable method for evaluating criteria and establishing weightage in MCDM scenarios. PNS provides a more detailed way of handling uncertainty t
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Gulistan, Muhammad, Hafiz Wahab, Florentin Smarandache, Salma Khan, and Sayed Shah. "Some Linguistic Neutrosophic Cubic Mean Operators and Entropy with Applications in a Corporation to Choose an Area Supervisor." Symmetry 10, no. 10 (2018): 428. http://dx.doi.org/10.3390/sym10100428.

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In this paper, we combined entropy with linguisti neutrosophic cubic numbers and used it in daily life problems related to a corporation that is going to choose an area supervisor, which is the main target of our proposed model. For this, we first develop the theory of linguistic neutrosophic cubic numbers, which explains the indeterminate and incomplete information by truth, indeterminacy and falsity linguistic variables (LVs) for the past, present, as well as for the future time very effectively. After giving the definitions, we initiate some basic operations and properties of linguistic neu
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Book chapters on the topic "Neutrosophic linguistic variable"

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Irvanizam, Irvanizam, and Nawar Nabila Zi. "Improved MABAC Method for Multicriteria Group Decision Making With Trapezoidal Fuzzy Neutrosophic Numbers." In Handbook of Research on Advances and Applications of Fuzzy Sets and Logic. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7979-4.ch030.

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Many prestigious researchers have been exploring the issues of imprecision, inconsistency, and uncertain information in decision making, which are still challenges in developing a decision support system that is more feasible and efficient. This chapter proposes a new multicriteria group decision-making (MCGDM) strategy to overcome those issues. This strategy integrates the original MABAC method with trapezoidal fuzzy neutrosophic numbers (TrFNNs). First, the proposed method converts independent judgments from experts in the form of linguistic variables into TrFNNs and aggregates them using so
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