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Relevant bibliographies by topics / Interval neutrosophic linguistic information

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Academic literature on the topic 'Interval neutrosophic linguistic information'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Interval neutrosophic linguistic information"

1

Zhai, Shanshan, Luran Zhao, and Dongxiao Hou. "Bonferroni Mean Operator of Interval Linguistic Neutrosophic Uncertain Linguistic Number and its Application in Multi-Attribute Group Decision-Making." HyperSoft Set Methods in Engineering 1 (April 22, 2024): 119–40. http://dx.doi.org/10.61356/j.hsse.2024.1239.

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This paper proposes the concept of interval linguistic neutrosophic uncertain linguistic number (IL-NULN). As a new and effective way of NS expression, ILNULN combines interval linguistic neutrosophic numbers and uncertain linguistic numbers, which can better handle uncertain and inconsistent information. In the ILNULN, the first part “uncertain linguistic number” reflects the attitude of the decision maker (DM) towards the evaluation object, and the second part “interval linguistic neutrosophic number” reflects the subjective linguistic judgment of the DM on the given uncertain linguistic num

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Zhai, Shanshan, and Qianwen Sun. "A VIKOR Method Based on the Relative Closeness on Interval Linguistic Neutrosophic Uncertain Linguistic Numbers." Plithogenic Logic and Computation 1 (April 29, 2024): 73–92. http://dx.doi.org/10.61356/j.plc.2024.1238.

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In actual multi-attribute group decision-making problems, due to the complexity and uncertainty of objective things and the ambiguity of human thinking, decision-makers find it hard to give accurate evaluation information by crisp numbers. Even the weights of attribute values and decision-makers are ambiguous. At this time, we are more inclined to adopt the intuitive form of linguistic variables such as "excellent", "good" or "bad" to describe attribute values and weights. So in this paper, based on a neutrosophic set (NS), we further propose interval linguistic neutrosophic uncertain linguist

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Khan, Qaisar, Rashad A. R. Bantan, and Mohammed Elgarhy. "Applications of Hesitant Interval Neutrosophic Linguistic Schweizer-Sklar Power Aggregation Operators to MADM." Journal of Function Spaces 2022 (March 19, 2022): 1–30. http://dx.doi.org/10.1155/2022/1654820.

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Hesitant interval neutrosophic linguistic sets (HINLSs) are one of the core generalization of various sets, such as neutrosophic set (NS), interval neutrosophic set (INS), and interval neutrosophic linguistic set (INLS). HINLS can represent the uncertainty, inconsistency, and reluctance of assessment specialists by expressing qualitative and quantitative information. The goal of this article is to introduce a novel MADM technique that can account for changes in the semantic environment as well as negative consequences of experts’ excessive evaluation values. First, several innovative operation

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Ye, Jun, and Wenhua Cui. "Operations and Aggregation Methods of Single-Valued Linguistic Neutrosophic Interval Linguistic Numbers and Their Decision Making Method." Information 9, no. 8 (2018): 196. http://dx.doi.org/10.3390/info9080196.

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To comprehensively describe uncertain/interval linguistic arguments and confident linguistic arguments in the decision making process by a linguistic form, this study first presents the concept of a single-valued linguistic neutrosophic interval linguistic number (SVLN-ILN), which is comprehensively composed of its uncertain/interval linguistic number (determinate linguistic argument part) and its single-valued linguistic neutrosophic number (confident linguistic argument part), and its basic operations. Then, the score function of SVLN-ILN based on the attitude index and confident degree/leve

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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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.., A., D. .., and Broumi Said. "Neutrosophic approach to Dynamic Programming on group Decision Making problems." International Journal of Neutrosophic Science 19, no. 2 (2022): 57–65. http://dx.doi.org/10.54216/ijns.190205.

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In this article, complicated group decision-making situations where the preference data is represented by linguistic variables are addressed using the dynamic programming approach. Making conclusions clear through accurate figures is difficult for decision-makers due to the complexity and ambiguity of reality. Neutrosophic is used to encode the linguistic variables because they cannot be directly computed. Neutrosophic sets are used to manage indeterminacy in a practical situation. The relationships between single and interval Neutrosophic sets are then measured using novel distance and simila

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Chen, Huakun, Jingping Shi, Yongxi Lyu, and Qianlei Jia. "A Decision-Making Model with Cloud Model, Z-Numbers, and Interval-Valued Linguistic Neutrosophic Sets." Entropy 26, no. 11 (2024): 892. http://dx.doi.org/10.3390/e26110892.

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Interval-valued linguistic neutrosophic sets (IVLNSs), Z-numbers, and the trapezium cloud model are powerful tools for expressing uncertainty and randomness. This paper aims to combine these methodologies. First, we review relevant concepts and operators, introducing a novel combination of IVLNSs and Z-numbers, which establishes a new form of expression. Subsequently, we propose the Z-interval-valued linguistic neutrosophic set-trapezium–trapezium cloud (Z-IVLNS-TTC) model, designed to minimize information loss and distortion during quantification. A novel method for calculating the objective

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Zhang, Kai, Jing Zheng, and Ying-Ming Wang. "Heterogeneous multi-attribute case retrieval method based on group decision making using incomplete weight information." Journal of Intelligent & Fuzzy Systems 40, no. 6 (2021): 10797–809. http://dx.doi.org/10.3233/jifs-201817.

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Case-based reasoning (CBR) is one of the most popular methods used in emergency decision making (EDM). Case retrieval plays a key role in EDM processes based on CBR and usually functions by retrieving similar historical cases using similarity measurements. Decision makers (DMs), thus, choose the most appropriate historical cases. Although uncertainty and fuzziness are present in the EDM process, in-depth research on these issues is still lacking. In this study, a heterogeneous multi-attribute case retrieval method based on group decision making (GDM) with incomplete weight information is devel

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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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Türkan, Yusuf Sait, Ecenur Alioğulları, and Duygu Tüylü. "Optimizing Location Selection for International Education Fairs: An Interval-Valued Neutrosophic Fuzzy Technique for Order of Preference by Similarity to Ideal Solution Approach." Sustainability 16, no. 23 (2024): 10227. http://dx.doi.org/10.3390/su162310227.

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The exponential growth in global student mobility has resulted in a corresponding increase in demand for international student fairs. Education fairs serve as pivotal platforms for the acquisition of information and the formulation of decisions pertaining to academic pursuits, with a considerable number of students ultimately enrolling in undergraduate, graduate, and language programs abroad. By reaching a large number of students at international education fairs, students from underdeveloped or developing countries benefit from educational opportunities in developed countries, providing signi

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Book chapters on the topic "Interval neutrosophic linguistic information"

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Broumi, Said, Deivanayagampillai Nagarajan, Malayalan Lathamaheswari, Mohamed Talea, Assia Bakali, and Florentin Smarandache. "Bellman-Ford Algorithm Under Trapezoidal Interval Valued Neutrosophic Environment." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36368-0_15.

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Mondal, Bappa, Suvankar Biswas, Arindam Garai, and Tapan Kumar Roy. "Posynomial Geometric Programming in EOQ Model with Interval Neutrosophic Number." In Recent Advances in Intelligent Information Systems and Applied Mathematics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34152-7_34.

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Wu, Jiani, Lidong Wang, and Lanlan Li. "2-Dimensional Interval Neutrosophic Linguistic Numbers and Their Utilization in Group Decision Making." In Neural Computing for Advanced Applications. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7670-6_20.

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Xu, Zeshui. "Uncertain Linguistic MADM Method with Interval Weight Information." In Uncertain Multi-Attribute Decision Making. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45640-8_12.

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Nguyen, Phan-Anh-Huy, and Khoa Pham. "Evaluating and Choosing the Online Marketing Channels by Interval-Valued Neutrosophic TOPSIS Approach." In Information Systems Research in Vietnam, Volume 3. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9835-3_4.

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Malhotra, Tanya, Anjana Gupta, and Anjali Singh. "Methodology for Interval-Valued Matrix Games with 2-Tuple Fuzzy Linguistic Information." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40616-5_12.

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Joshi, Dheeraj Kumar, Kamlesh Bisht, and Sanjay Kumar. "Interval-Valued Intuitionistic Uncertain Linguistic Information-Based TOPSIS Method for Multi-criteria Group Decision-Making Problems." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7386-1_27.

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Duraj, Agnieszka, and Piotr S. Szczepaniak. "Linguistic Summaries Using Interval-Valued Fuzzy Representation of Imprecise Information - An Innovative Tool for Detecting Outliers." In Computational Science – ICCS 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77980-1_38.

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Said, Broumi, and Florentin Smarandache. "Multi-Attribute Decision Making Based on Interval Neutrosophic Trapezoid Linguistic Aggregation Operators." In Handbook of Research on Generalized and Hybrid Set Structures and Applications for Soft Computing. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9798-0.ch017.

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Multi-attribute decision making (MADM) play an important role in many applications, due to the efficiency to handle indeterminate and inconsistent information, interval neutrosophic sets is widely used to model indeterminate information. In this paper, a new MADM method based on interval neutrosophic trapezoid linguistic weighted arithmetic averaging aggregation (INTrLWAA) operator and interval neutrosophic trapezoid linguistic weighted geometric aggregation (INTrLWGA) operatoris presented. A numerical example is presented to demonstrate the application and efficiency of the proposed method.

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Gomathi Nayagam, V. Lakshmana, Daniel P., and Bharanidharan R. "Interval Valued Neutrosophic Information System and Its Applications to Decision Making." In Advances in Chemical and Materials Engineering. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-3204-7.ch017.

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Smarandache introduced neutrosophic sets, interval-valued / n-valued refined neutrosophic sets due to their utility in various research fields. Multi criteria decision making problem in which evaluations of the alternatives based on criteria are given in the form of single-valued / interval-valued neutrosophic triplets (SVNT / IVNT) is an important area in neutrosophic research. Nayagam, et al have developed total ordering method to rank SVNT / IVNT. Few dominance-based ranking techniques have also been developed in the recent years to identify the best alternative in an information system. In

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Conference papers on the topic "Interval neutrosophic linguistic information"

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He, Sang-sang, Jian-qiang Wang, Jun-hua Hu, et al. "Linguistic interval neutrosophic sets in multi-criteria group decision-making." In 2021 33rd Chinese Control and Decision Conference (CCDC). IEEE, 2021. http://dx.doi.org/10.1109/ccdc52312.2021.9602300.

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Wang, Xingang, and Xin Wang. "An Extended VIKOR Method for the Multiple Attribute Decision Making Problems Based on Interval Neutrosophic Set." In 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2019. http://dx.doi.org/10.1109/iaeac47372.2019.8997691.

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Liu, Wei, and Shang-hong Yang. "A novel method for multi-attribute group decision making with interval- valued intuitionistic uncertain linguistic information based on topsis." In 2014 International Conference on Management Science and Engineering (ICMSE). IEEE, 2014. http://dx.doi.org/10.1109/icmse.2014.6930228.

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Kondratenko, Nataliia R. "Applications Type-2 Membership Functions in Fuzzy Logic Systems Under Conditions of Uncertainty Input Data." In 16th IC Measurement and Control in Complex Systems. VNTU, 2022. http://dx.doi.org/10.31649/mccs2022.02.

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This work proposes fuzzy logics system with use of math apparatus of type-2 interval fuzzy sets. The present paper formulates the task of developing a formal approach, which would enable analyzing fuzzy systems in terms of their capability to describe uncertainties of input information using interval membership functions. In contrast with the type-1 fuzzy sets-based systems, which result in membership value in the form of a single digit, the type-2 fuzzy sets allow to obtain an interval of values of the final linguistic variable. This interval is the result of the uncertainties, which are pres

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Poleshchuk, O. "Z-Regression for Аnalysis and Reliable Prediction of Qualitative Characteristics". У International scientific and practical conference “Smart cities and sustainable development of regions” (SMARTGREENS 2024). Crossref, 2025. https://doi.org/10.63550/iceip.2025.1.1.014.

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A regression model under Z-information has developed in the paper. The initial information for constructing the model is linguistic Z-numbers, defined on the unit segment. For a Z-number, an interval type-2 fuzzy number is defined, using aggregating characteristics of reliability (second component of Z-number). To do this, the aggregating segment of reliability and its middle are use. In the paper was made a choice in favor of transforming Z-numbers into type-2 fuzzy numbers, since Z-numbers are closer in structure to them than to type-1 fuzzy numbers, which, however, are most often used to tr

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Karkoub, Mansour, and Tzu Sung Wu. "Delayed Output Feedback Control for Nonlinear Systems With Fuzzy Observers." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-85423.

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In this paper, the design problem of delayed output feedback control scheme using two-layer interval fuzzy observers for a class of nonlinear systems with state and output delays is investigated. The Takagi-Sugeno type fuzzy linear model with an on-line update law is used to approximate the nonlinear system. Based on the fuzzy model, a two-layer interval fuzzy observer is used to reconstruct the system states according to equal interval output time delay slices. Subsequently, a delayed output feedback adaptive fuzzy controller is developed to override the nonlinearities, time delays, and exter

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