Relevant bibliographies by topics / Pythagorean Fuzzy

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Pythagorean Fuzzy'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Pythagorean Fuzzy"

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Dughman, Hawwa M. S., Amnnah A. A. Rasheed, and Khadeejah A. A. Alqamoudi. "Pythagorean M-Fuzzy subgroups under a T-norm." International Science and Technology Journal 32, no. 1 (2023): 1–17. https://doi.org/10.62341/hakp0275.

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This study explores the structural properties of Pythagorean M- fuzzy groups, building upon prior works by several researchers. It introduces the Pythagorean M-Fuzzy subgroup as a generalization of intuitionistic fuzzy subgroups, along with Pythagorean M-Fuzzy cosets and Pythagorean M-Fuzz normal subgroups. The study also discusses the impact of group homomorphisms on Pythagorean M- Fuzzy subgroups under a T-norm. Keywords: Pythagorean fuzzy set, Pythagorean fuzzy subgroup, M-fuzzy subgroup, Pythagorean M-fuzzy subgroup
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BHUNIA, SUPRIYA, and GANESH GHORAI. "An Approach to Lagrange’s Theorem in Pythagorean Fuzzy Subgroups." Kragujevac Journal of Mathematics 48, no. 6 (2024): 893–906. http://dx.doi.org/10.46793/kgjmat2406.893b.

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The Pythagorean fuzzy environment is a modern way of depicting uncertainty. The concept of Pythagorean fuzzy semi-level subgroups of any group is described in this paper. The Pythagorean fuzzy order of an element in a Pythagorean fuzzy subgroup is introduced and established various algebraic attributes. The relation between the Pythagorean fuzzy order of an element of a group and the order of that group is established. The Pythagorean fuzzy normalizer and Pythagorean fuzzy centralizer of Pythagorean fuzzy subgroups are discussed. Further, the concept of Pythagorean fuzzy quotient group and the
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Preethi, N., and G. K. Revathi. "A view on Pythagorean fuzzy digital feeble topological spaces, nets and prefilters." Journal of Interdisciplinary Mathematics 28, no. 4 (2025): 1607–22. https://doi.org/10.47974/jim-2155.

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The conceptualization of Pythagorean fuzzy digital feeble topological space (PFDFTS) is acquainted by applying new operations # , * with illustrations and its properties are analyzed. Adjacent to this, the concepts of Pythagorean fuzzy digital Point, Pythagorean fuzzy digital feeble continuous, Pythagorean fuzzy digital feeble neighbourhood, Qu - Pythagorean fuzzy digital feeble neighbourhood, Q u - Pythagorean fuzzy digital feeble continuous, Pythagorean fuzzy digital feeble net, Pythagorean fuzzy digital feeble prefilters are also examined with its properties.
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Çıtak, Filiz. "Some Algebraic Properties of Pythagorean Fuzzy Bi-ideals." Sinop Üniversitesi Fen Bilimleri Dergisi 10, no. 1 (2025): 42–59. https://doi.org/10.33484/sinopfbd.1524118.

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Fuzzy sets have a significant place in solving problems involving uncertainty. There are many studies on fuzzy sets in decision-making, engineering, algebra, etc. In this study, we discuss the behavior of Pythagorean fuzzy sets, which are a kind of generalization of fuzzy sets in algebra. First, we define the Pythagorean fuzzy product and examine some of its properties. Then, we investigate the relationship between the Pythagorean fuzzy ideal and the Pythagorean fuzzy product. Then, we define Pythagorean fuzzy bi-ideal. We give the theorem that characterizes bi-ideals in terms of fuzzy bi-idea
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Bachadach, Idris, A. Talhaoui, S. Melliani, and Sofyane Achik. "Pythagorean fuzzy nil radical of Pythagorean fuzzy ideal." Boletim da Sociedade Paranaense de Matemática 42 (May 21, 2024): 1–14. http://dx.doi.org/10.5269/bspm.65957.

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In this work, we introduce the Pythagorean fuzzy nil radical of a Pythagorean fuzzy ideal of a commutative ring, we further provide the notion of Pythagorean fuzzy semiprime ideal, and we study some related properties. Finally, we give the relation between Pythagorean fuzzy semiprime ideals and the Pythagorean fuzzy nil radical of a commutative ring.
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Razaq, Abdul, Ghaliah Alhamzi, Asima Razzaque, and Harish Garg. "A Comprehensive Study on Pythagorean Fuzzy Normal Subgroups and Pythagorean Fuzzy Isomorphisms." Symmetry 14, no. 10 (2022): 2084. http://dx.doi.org/10.3390/sym14102084.

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The Pythagorean fuzzy set is an extension of the intuitionistic fuzzy set used to handle uncertain circumstances in various decisions making problems. Group theory is a mathematical technique for dealing with problems of symmetry. This study deals with Pythagorean fuzzy group theory. In this article, we characterize the notion of a Pythagorean fuzzy subgroup and examine various algebraic properties of this concept. An extensive study on Pythagorean fuzzy cosets of a Pythagorean fuzzy subgroup, Pythagorean fuzzy normal subgroups of a group and Pythagorean fuzzy normal subgroup of a Pythagorean
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Shareef, Ayesha, Uzma Ahmad, Saba Siddique, and Mohammed M. Ali Al-Shamiri. "Pythagorean fuzzy incidence graphs with application in illegal wildlife trade." AIMS Mathematics 8, no. 9 (2023): 21793–827. http://dx.doi.org/10.3934/math.20231112.

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<abstract><p>Chemical engineers can model numerous interactions in a process using incidence graphs. They are used to methodically map out a whole network of interconnected processes and controllers to describe each component's impact on the others. It makes it easier to visualize potential process paths or a series of impacts. A Pythagorean fuzzy set is an effective tool to overcome ambiguity and vagueness. In this paper, we introduce the concept of Pythagorean fuzzy incidence graphs. We discuss the incidence path and characterize the strongest incidence path in Pythagorean fuzzy
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A, Nasreen, and Latha S. Nair. "Quotient of ideals of a Pythagorean fuzzy lattice." International Journal of Engineering and Computer Science 14, no. 06 (2025): 27409–18. https://doi.org/10.18535/ijecs.v14i06.5172.

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In this paper, we defined operations on Pythagorean fuzzy ideals and the Pythagorean fuzzy ideal of a Pythagorean fuzzy lattice is introduced. Certain characterizations of these are provided. The residuals of Pythagorean fuzzy ideals are defined, and it is demonstrated that these residuals also form Pythagorean fuzzy ideals. Furthermore, it is shown that they are the largest Pythagorean fuzzy ideal of P .
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T. Anitha. "Characterization of Pythagorean Fuzzy Bi-Interior Ideal and Bi-Quasi-Ideal in Γ-Semirings". Communications on Applied Nonlinear Analysis 32, № 4s (2024): 150–67. https://doi.org/10.52783/cana.v32.2746.

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In this paper, we introduce the Pythagorean fuzzy bi-interior-ideals and Pythagorean fuzzy bi-quasi-ideals in Γ - semiring. More over we prove the every Pythagorean fuzzy left and right ideals are Pythagorean fuzzy bi-interior -ideal in Γ - semiring. Also we study the notion of Pythagorean fuzzy bi-quasi-ideal in Γ - semiring and characterize Pythagorean fuzzy bi-quasi-ideal in Γ - semiring.
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Hameed, M. Shazib, Salman Mukhtar, Haq Nawaz Khan, Shahbaz Ali, M. Haris Mateen, and Muhammad Gulzar. "Pythagorean Fuzzy N-Soft Groups." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 2 (2021): 1030–38. https://doi.org/10.11591/ijeecs.v21i2.pp1030-1038.

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We elaborate in this paper a new structure Pythagorean fuzzy N-soft groups which is the generalization of intuitionistic fuzzy soft group initiated by Karaaslan in 2013. In Pythagorean fuzzy N-soft sets concepts of fuzzy sets, soft sets, N-soft sets, fuzzy soft sets, intuitionistic fuzzy sets, intuitionistic fuzzy soft sets, Pythagorean fuzzy sets, Pythagorean fuzzy soft sets are generalized. We also talk about some elementary basic concepts and operations on Pythagorean fuzzy N-soft sets with the assistance of illusions. We additionally define three different sorts of complements for Pythagor
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Dissertations / Theses on the topic "Pythagorean Fuzzy"

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Yen, Ting Fang, and 顏婷芳. "Applying Pythagorean Fuzzy Method to Improve Decision-Making Difficulties- A Case study of Young Adult and Elder." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/ss4ebb.

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碩士<br>長庚大學<br>工商管理學系<br>105<br>The phenomenons of decision making difficulties are prevalent among lots of groups, especially young adults and elders. Many previous papers have focused on explorating the reasons, but lack of a tool for proving the situation of difficulties. In this study, we took the career decision making difficulties of young adults and the financial decision making difficulties of elders as the examples, combined the Median Ranking Method and revised two kinds of the score functions, and developed a new tool which named Pythagorean Fuzzy Assignment Method. Lastly, we compar
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Lo, Chien Chang, and 羅健彰. "Using Pythagorean fuzzy ELECTRE Method to Investigate the Way of Raising Financial Resources about Long-Term Care." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/qtm2yh.

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Books on the topic "Pythagorean Fuzzy"

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Garg, Harish, ed. Pythagorean Fuzzy Sets. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1989-2.

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Garg, Harish. Pythagorean Fuzzy Sets: Theory and Applications. Springer, 2022.

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Garg, Harish. Pythagorean Fuzzy Sets: Theory and Applications. Springer Singapore Pte. Limited, 2021.

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Book chapters on the topic "Pythagorean Fuzzy"

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Mahmood, Tahir, and Zeeshan Ali. "Schweizer–Sklar Muirhead Mean Aggregation Operators Based on Pythagorean Fuzzy Sets and Their Application in Multi-criteria Decision-Making." In Pythagorean Fuzzy Sets. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1989-2_10.

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Mishra, Arunodaya Raj, Pratibha Rani, and Sitesh Bharti. "Assessment of Agriculture Crop Selection Using Pythagorean Fuzzy CRITIC–VIKOR Decision-Making Framework." In Pythagorean Fuzzy Sets. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1989-2_7.

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Yang, Yi, and Zhen-Song Chen. "Isomorphic Operators and Ranking Methods for Pythagorean and Intuitionistic Fuzzy Sets." In Pythagorean Fuzzy Sets. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1989-2_5.

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Sharaf, Iman Mohamad. "A Novel Pythagorean Fuzzy MULTIMOORA Applied to the Evaluation of Energy Storage Technologies." In Pythagorean Fuzzy Sets. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1989-2_12.

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Wang, Jun, Xiaopu Shang, Wuhuan Xu, Chunliang Ji, and Xue Feng. "Extensions of Linguistic Pythagorean Fuzzy Sets and Their Applications in Multi-attribute Group Decision-Making." In Pythagorean Fuzzy Sets. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1989-2_15.

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Ejegwa, P. A., and C. Jana. "Some New Weighted Correlation Coefficients Between Pythagorean Fuzzy Sets and Their Applications." In Pythagorean Fuzzy Sets. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1989-2_2.

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Sarkar, Arun, and Animesh Biswas. "Maclaurin Symmetric Mean-Based Archimedean Aggregation Operators for Aggregating Hesitant Pythagorean Fuzzy Elements and Their Applications to Multicriteria Decision Making." In Pythagorean Fuzzy Sets. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1989-2_14.

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Türkarslan, Ezgi, Murat Olgun, Mehmet Ünver, and Şeyhmus Yardimci. "Some Trigonometric Similarity Measures Based on the Choquet Integral for Pythagorean Fuzzy Sets and Applications to Pattern Recognition." In Pythagorean Fuzzy Sets. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1989-2_4.

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Naeem, Khalid, and Muhammad Riaz. "Pythagorean Fuzzy Soft Sets-Based MADM." In Pythagorean Fuzzy Sets. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1989-2_16.

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Gul, Muhammet, and Melih Yucesan. "A Risk Prioritization Method Based on Interval-Valued Pythagorean Fuzzy TOPSIS and Its Application for Prioritization of the Risks Emerged at Hospitals During the Covid-19 Pandemic." In Pythagorean Fuzzy Sets. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1989-2_6.

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Conference papers on the topic "Pythagorean Fuzzy"

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Lalitha, K., V. Sivasankari, and S. Sarguna. "Bipolar Pythagorean Fuzzy Matrix and Its Application." In 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, 2025. https://doi.org/10.1109/icaect63952.2025.10958830.

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Thakur, Palvinder, Neeraj Gandotra, Sidhant Thakur, Aryan Panwar, and Namita Saini. "Optimizing Urban Planning and Development Using Pythagorean Fuzzy Sets in MCDM." In 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON). IEEE, 2024. https://doi.org/10.1109/delcon64804.2024.10866752.

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Zhou, Hongyu, Yiming Yang, Yinghua Chen, Yanqin Ge, He Wang, and Huizhi Hou. "A Pythagorean fuzzy set-based approach for evaluating power grid physical assets." In Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), edited by Lvqing Yang. SPIE, 2024. http://dx.doi.org/10.1117/12.3038233.

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Kashyap, Sahil, Neeraj Gandotra, Namita Saini, and Sonia. "Advancements in Pythagorean Fuzzy Sets for Multi-Criteria Decision Making: A Review from 2016 to 2023." In 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON). IEEE, 2024. https://doi.org/10.1109/delcon64804.2024.10867006.

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Terna, Anum Manasseh, Paul Augustine Ejegwa, and Yuming Feng. "An Enhanced Pythagorean Fuzzy Distance Method with Application in the Selection of Renewable Energy Source via MCDA." In 2024 International Conference on New Trends in Computational Intelligence (NTCI). IEEE, 2024. https://doi.org/10.1109/ntci64025.2024.10776528.

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Bai, Haoyu. "Utilizing Pythagorean Fuzzy Set Integrated with QFD, KANO, Cumulative Prospect and TOPSIS to Evaluate the Design of Intelligent Hotel Services." In Conference Proceedings of The 12th International Symposium on Project Management, China. Aussino Academic Publishing House (AAPH), 2024. http://dx.doi.org/10.52202/076061-0140.

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Yager, Ronald R. "Pythagorean fuzzy subsets." In 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS). IEEE, 2013. http://dx.doi.org/10.1109/ifsa-nafips.2013.6608375.

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Athira, T. M., Sunil Jacob John, and P. Rajish Kumar. "Incomplete pythagorean fuzzy soft sets." In PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS RESEARCH (ICAMR - 2019). AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0017218.

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Dhanapackiam, M., and M. Trinita Pricilla. "Interval valued Pythagorean fuzzy nanosets." In CONTEMPORARY INNOVATIONS IN ENGINEERING AND MANAGEMENT. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0150677.

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Reformat, Marek Z., and Ronald R. Yager. "Composition-based Users' matching processes with pythagorean fuzzy sets." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015747.

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