Relevant bibliographies by topics / Interval valued neutrosophic soft

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Academic literature on the topic 'Interval valued neutrosophic soft'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Interval valued neutrosophic soft"

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Murtaza, Ghulam, Mujahid Abbas, and Muhammad Ali. "Fixed points of interval valued neutrosophic soft mappings." Filomat 33, no. 2 (2019): 463–74. http://dx.doi.org/10.2298/fil1902463m.

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In this paper, we introduce some new notions such as interval valued neutrosophic soft points, interval valued neutrosophic soft mappings, interval valued neutrosophic soft Hausdorff topological spaces, and interval valued neutrosophic soft compact topological spaces. Cantor?s intersection theorem is proved for interval valued neutrosophic soft sets. The aim of this paper is to establish the existence of fixed points of interval valued neutrosophic soft mappings on interval valued neutrosophic soft compact topological spaces. Some examples are provided to support the concepts and the results p
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Broumi, Said, and Flornetin Smarandache. "Interval-Valued Neutrosophic Soft Rough Sets." International Journal of Computational Mathematics 2015 (January 19, 2015): 1–13. http://dx.doi.org/10.1155/2015/232919.

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We first defined interval-valued neutrosophic soft rough sets (IVN-soft rough sets for short) which combine interval-valued neutrosophic soft set and rough sets and studied some of its basic properties. This concept is an extension of interval-valued intuitionistic fuzzy soft rough sets (IVIF-soft rough sets).
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Aiyared, Aiyared, G. Manikandan, T. T. Raman, K. Arulmozhi, and Aiyared Iampan. "Type-II q-rung neutrosophic interval valued soft sets." International Journal of Neutrosophic Science 23, no. 3 (2024): 318–28. http://dx.doi.org/10.54216/ijns.230326.

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In this study, the theory of the Type-II q-rung neutrosophic interval valued soft set (Type-II q-rung NIVS) is introduced. We also define a few operations based on the Type-II q-rung NIVS set. Type-II q-rung NIVS sets are formed by extending neutrosophic interval valued soft (NIVS) sets and q-rung fuzzy soft sets. Type-II q-rung NIVS sets and their similarity measures. An illustrative example illustrates how they can be used to successfully address uncertainty-related problems.
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Palanikumar, M., Aiyared Iampan, Said Broumi, Lejo J. Manavalan, and K. Sundareswari. "Multi-criteria group decision making method in Pythagorean interval-valued neutrosophic fuzzy soft soft using VIKOR approach." International Journal of Neutrosophic Science 22, no. 1 (2023): 104–13. http://dx.doi.org/10.54216/ijns.220108.

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In contrast to the Pythagorean interval valued fuzzy soft set and the neutrosophic interval valued fuzzy soft set, the Pythagorean neutrosophic interval valued fuzzy soft set is a generalization of these sets. We discuss aggregating PyNIVFS decision matrixes by using aggregated operations. The VIKOR method, which is an extension of neutrosophic fuzzy soft sets, is a powerful method for evaluating multi-criteria group decision making. The score function in this approach is based on the aggregation of the VIKOR method to a PyNIVFSpositive and negative solution. Optimal alternatives are introduce
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Saeed, Maha Mohammed, Sami Ullah Khan, Fatima Suriyya, Arif Mehmood, and Jamil J. Hamja. "Interval-Valued Complex Neutrosophic Sets and Complex Neutrosophic Soft Topological Spaces." International Journal of Analysis and Applications 23 (June 9, 2025): 132. https://doi.org/10.28924/2291-8639-23-2025-132.

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Network performance is the evaluation and assessment of collective network statistics, to define the quality of services offered by the computer network. It is a qualitative and quantitative technique that measures and defines the performance level for a network. Networking provides a link between different factors (bandwidth, number of devices, network traffic and latency) for performing multiple tasks. These factors affect the network speed and quality. Some errors occur due to network traffic and latency can produce uncertain results. These results provide low quality and speed in the netwo
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Al-Qudah, Yousef Al, Faisal Al Al-Sharqi, Muthanna Mishlish, and Maha M. Rasheed. "Hybrid integrated decision-making algorithm based on AO of possibility interval-valued neutrosophic soft settings." International Journal of Neutrosophic Science 22, no. 3 (2023): 84–98. http://dx.doi.org/10.54216/ijns.220306.

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The idea of interval-valued neutrosophic soft sets (IVNSSs) is a new generalization of the neutrosophic soft sets to the neutrosophic sets when the authors combine the critical features of IVNS and soft sets (SSs) 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 highperformance IVNSS disappears. Therefore, in this paper, we initiated a new approach known as possibility interval-valued neutrosophic soft sets (PIVNSSs) as a new develop
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M., M., Sadeq Damrah, Mutaz M. Abbas Ali, Abdallah Al Al-Husban, and M. Palanikumar. "Type-I extension Diophantine neutrosophic interval valued soft set in real life applications for a decision making." International Journal of Neutrosophic Science 24, no. 4 (2024): 151–64. http://dx.doi.org/10.54216/ijns.240411.

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We describe certain operations and present the theory of the Type-I extension Diophantine neutrosophic interval valued soft set. Additionally, we go over an algorithm that uses the Type-I soft set model to address the decision-making problem. We present a similarity measure between two Type-I extension Diophantine neutrosophic interval valued soft sets and talk about how it might be used in practical applications. A few exemplary cases are provided to demonstrate their practical application in solving uncertain problems.
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Al-Qudah, Yousef Al, and Faisal Al Al-Sharqi. "Algorithm for decision-making based on similarity measures of possibility interval-valued neutrosophic soft setting settings." International Journal of Neutrosophic Science 22, no. 3 (2023): 69–83. http://dx.doi.org/10.54216/ijns.220305.

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hand the idea of interval-valued neutrosophic soft sets (IVNSSs) is a new generalization of the neutrosophic soft sets to the neutrosophic sets when the authors combine the critical features of IVNS and soft sets (SSs) 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 highperformance IVNSS disappears. Therefore, in this paper, we initiated a new approach known as possibility interval-valued neutrosophic soft sets (PIVNSSs) as a new de
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Al-Sharqi, Faisal Al, Ashraf Al Al-Quran, Noor Kareem Assi Halaf, Mona Aladil, and Maha M. Rasheed. "Algorithm for possibility interval-valued neutrosophic soft decision-making based on distance measures settings." International Journal of Neutrosophic Science 22, no. 3 (2023): 53–68. http://dx.doi.org/10.54216/ijns.220304.

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Soft set(SS) is one of the soft computing techniques that plays an important role in addressing the hiddenness and uncertainty associated with uncertain data. In other hand the idea of interval-valued neutrosophic soft sets (IVNSSs) is a new generalization of the neutrosophic soft sets to the neutrosophic sets when the authors combine the critical features of IVNS and soft sets (SSs) 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 h
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Naveed, Hamza, and Saalam Ali. "Multi-Criteria Decision-Making Approach Based on Correlation Coefficient for Multi-Polar Interval-Valued Neutrosophic Soft Set." Neutrosophic Systems with Applications 24 (December 1, 2024): 18–33. https://doi.org/10.61356/j.nswa.2024.24417.

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The correlation coefficient between two factors is crucial in statistical computation, indicating the extent and evolution of the appropriate link. The precision of applicability evaluations frequently relies on the thoroughness and caliber of data obtained from a certain dataset. Statistical research sometimes entails data marked by intrinsic trade-offs and uncertainty. This study seeks to present m-polar interval-valued neutrosophic soft sets (mPIVNSSs) through the integration of m-polar fuzzy sets with interval-valued neutrosophic soft sets. The suggested mPIVNSS structure is a significantl
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Book chapters on the topic "Interval valued neutrosophic soft"

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Mukherjee, Anjan. "Interval-Valued Neutrosophic Soft Sets." In Generalized Rough Sets. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2458-7_7.

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Jayasudha, J., and S. Raghavi. "Introduction to Interval-Valued Neutrosophic Hyper-Soft Expert Set." In Springer Proceedings in Mathematics & Statistics. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-1505-6_4.

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Palanikumar, M., V. Sreelatha Devi, Chiranjibe Jana, and Gerhard Wilhelm Weber. "Multi-Criteria Group Decision-Making q-Rung Neutrosophic Interval-Valued Soft Set TOPSIS Aggregating Operator for the Selection of Diagnostic Health Imaging." In Fuzzy Optimization, Decision-making and Operations Research. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35668-1_22.

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Akram, Muhammad. "Interval-Valued Neutrosophic Graph Structures." In Infosys Science Foundation Series. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3522-8_5.

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Akram, Muhammad. "Graphs Under Interval-Valued Neutrosophic Environment." In Infosys Science Foundation Series. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3522-8_4.

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Anand, M. Clement Joe, and Janani Bharatraj. "Interval-Valued Neutrosophic Numbers with WASPAS." In Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00045-5_17.

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Broumi, Said, Assia Bakali, Mohamed Talea, Florentin Smarandache, and Prem Kumar Singh. "Properties of Interval-Valued Neutrosophic Graphs." In Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00045-5_8.

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Karaaslan, Faruk, Khizar Hayat, and Chiranjibe Jana. "The Determinant and Adjoint of an Interval-Valued Neutrosophic Matrix." In Neutrosophic Operational Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57197-9_7.

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Karaşan, Ali, and Cengiz Kahraman. "Interval-Valued Neutrosophic Extension of EDAS Method." In Advances in Fuzzy Logic and Technology 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66824-6_31.

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Deli, İrfan. "Linear and Nonlinear Programming Methods of Two-Person Interval-Valued Neutrosophic Games." In Neutrosophic Operational Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57197-9_20.

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Conference papers on the topic "Interval valued neutrosophic soft"

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Arunadevi.S, D.Jayanthi, M.Thirumalaimuthukumaran, and M. Mohan Kumar. "An approach for solving transportation problem using possibility interval valued intuitionistic fuzzy soft sets." In 2025 3rd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). IEEE, 2025. https://doi.org/10.1109/icaeca63854.2025.11012625.

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Jagadeeswari, L., and V. J. Sudhakar. "Self-centered bipolar interval valued neutrosophic graph." In INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS, COMPUTING AND COMMUNICATION TECHNOLOGIES: (ICAMCCT 2021). AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0070993.

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Mathew, Ligin P., and Lovelymol Sebastian. "An introduction to single valued neutrosophic fuzzy numbers, trapezoidal single valued neutrosophic fuzzy numbers and triangular single valued neutrosophic fuzzy numbers." In 2nd INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCES-MODELLING, COMPUTING AND SOFT COMPUTING (CSMCS 2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0154003.

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Alkhazaleh, Shawkat. "n-valued refined neutrosophic soft set theory." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7738004.

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Bolturk, Eda, and Ali Karasan. "Interval valued neutrosophic CODAS method for renewable energy selection." In Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018). WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/9789813273238_0130.

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Sinika, S., and G. Ramesh. "Effectiveness of new interval arithmetic operations in interval-valued neutrosophic assignment problem." In 3RD INTERNATIONAL CONFERENCE ON MATHEMATICAL TECHNIQUES AND APPLICATIONS (e-ICMTA-2022). AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0164620.

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Deli, Irfan, Yusuf Subas, Florentin Smarandache, and Mumtaz Ali. "Interval valued bipolar fuzzy weighted neutrosophic sets and their application." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7738002.

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Broumi, Said, Mohamed Talea, Florentin Smarandache, and Assia Bakali. "Decision-making method based on the interval valued neutrosophic graph." In 2016 Future Technologies Conference (FTC). IEEE, 2016. http://dx.doi.org/10.1109/ftc.2016.7821588.

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Selvachandran, Ganeshsree, and Abdul Razak Salleh. "Interval-valued complex fuzzy soft sets." In THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES: Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society. Author(s), 2017. http://dx.doi.org/10.1063/1.4980958.

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Broumi, Said, Mohamed Talea, Assia Bakali, and Florentin Smarandache. "Application of Dijkstra algorithm for solving interval valued neutrosophic shortest path problem." In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2016. http://dx.doi.org/10.1109/ssci.2016.7850151.

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