Relevant bibliographies by topics / Complex fuzzy sets

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Complex fuzzy sets'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Complex fuzzy sets"

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Ramot, D., R. Milo, M. Friedman, and A. Kandel. "Complex fuzzy sets." IEEE Transactions on Fuzzy Systems 10, no. 2 (2002): 171–86. http://dx.doi.org/10.1109/91.995119.

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P., Thirunavukarasu, and Suresh R. "Parameterized Soft Complex Fuzzy Sets." Journal of Progressive Research in Mathematics 4, no. 2 (2015): 303–8. https://doi.org/10.5281/zenodo.3980480.

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In this paper, we presents a new concept of parameterized soft complex fuzzy set (pscf-set) which is generalized from the innovative concept of a complex fuzzy set by adding phase term to the definition of fuzzy set. Various operators with examples of pscf-set provided in this paper. We then define a pscf-set aggregation operator.
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Dai, Songsong. "Linguistic Complex Fuzzy Sets." Axioms 12, no. 4 (2023): 328. http://dx.doi.org/10.3390/axioms12040328.

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Complex fuzzy sets (CFSs) are a suitable tool to manage spatial directional information which includes distance and direction. However, spatial directional information is given by linguistic values. It is very awkward for the CFS to describe this type of spatial directional information. To overcome this limitation, we first propose a novel concept called a linguistic complex fuzzy set (LCFS) to serve as an extension of the CFS. Then we put forward some basic operational laws for LCFSs. After that, we define three operators for LCFSs: the linguistic complex fuzzy weighted averaging (LCFWA) oper
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Dey, Asit, and Madhumangal Pal. "Multi-Fuzzy Complex Numbers and Multi-Fuzzy Complex Sets." International Journal of Fuzzy System Applications 4, no. 2 (2015): 15–27. http://dx.doi.org/10.4018/ijfsa.2015040102.

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This paper presents a method to construct more general fuzzy complex numbers and sets from ordinary fuzzy complex numbers by introduced the ordered sequences of membership functions. It is concluded that multi-fuzzy complex set is an extension of Buckley fuzzy complex set. Also, two types of multi-fuzzy complex numbers based on the forms and are investigated.
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Mu, Beining. "Fuzzy Julia Sets and Fuzzy Superior Julia Sets." Highlights in Science, Engineering and Technology 72 (December 15, 2023): 375–80. http://dx.doi.org/10.54097/5c5hp748.

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This article examine the past study of fuzzy Mandelbrot set and fuzzy superior Mandelbrot set, then give the definition of fuzzy Julia sets and fuzzy superior Julia sets with the idea of utilizing membership functions to represent the escape velocity of Julia sets or superior Julia sets of each complex number in the definition of fuzzy Mandelbrot set and fuzzy superior Mandelbrot set inherited while the membership functions are selected to distinguish complex numbers with different escape velocity and same orbit. Then some examples of fuzzy Julia sets and fuzzy superior Julia sets are presente
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Alkouri, Abd Ulazeez, Mo'men Bany Amer, and Ibrahim Jawarneh. "Complex Bipolar Multi-Fuzzy Sets." Uncertainty 1, no. 1 (2024): 1–10. http://dx.doi.org/10.31559/uncertainty2024.1.1.1.

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Convey human being's information to a mathematical formula and vice versa by a proper tool, is considered a first step to solve the problem of assigning a membership degree (suitable value) of an object to a set by decision-makers. Different information with its periodic circumstances highlighted the need for an extra variable to be built into the mathematical tools. This extra variable adds a significant role to represent a special type of information that has the same data but with a different meaning in different time/levels/phases. However, the idea of extending the range of membership deg
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Pishtiwan O. Sabir. "Notes on Extension of Fuzzy Complex Sets." Tikrit Journal of Pure Science 22, no. 9 (2023): 88–93. http://dx.doi.org/10.25130/tjps.v22i9.880.

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The aim of this paper is to modify and improve the corresponding weakness results of multi-fuzzy complex numbers as an extension of fuzzy complex numbers, next we introduce and study the generalized multi-fuzzy complex numbers and get some results. Lastly, we discuss the derivative of functions mapping complex numbers into as an extension of fuzzy complex derivatives.
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Thirunavukarasu, Ashok Kumar, Suresh, and Lilly Merline. "EXTENDED THEORETICAL CONCEPT OF COMPLEX FUZZY SETS BY COMPLEX FUZZY SOFT HYPERGROUP, COMPLEX FUZZY SOFT HYPERRING." International Journal of Research -GRANTHAALAYAH 4, no. 7(SE) (2016): 62–69. http://dx.doi.org/10.29121/granthaalayah.v4.i7(se).2016.2629.

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In this paper, we develop the initial theory of complex fuzzy soft hypergroup by introducing the novel concept of complex fuzzy soft hypergroup, complex fuzzy soft hyperring. Consequently, a major part of this work is dedicated to extend the theory of complex fuzzy soft set, complex fuzzy hypergroup. Complex fuzzy soft quasihypergroup, complex fuzzy soft semihypergroup and complex fuzzy soft subhypergroup also discussed in this paper.
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Hu, Bo, Lvqing Bi, Songsong Dai, and Sizhao Li. "Distances of complex fuzzy sets and continuity of complex fuzzy operations." Journal of Intelligent & Fuzzy Systems 35, no. 2 (2018): 2247–55. http://dx.doi.org/10.3233/jifs-172264.

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Tamir, Dan E., and Abraham Kandel. "Axiomatic Theory of Complex Fuzzy Logic and Complex Fuzzy Classes." International Journal of Computers Communications & Control 6, no. 3 (2011): 562. http://dx.doi.org/10.15837/ijccc.2011.3.2135.

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Complex fuzzy sets, classes, and logic have an important role in applications, such as prediction of periodic events and advanced control systems, where several fuzzy variables interact with each other in a multifaceted way that cannot be represented effectively via simple fuzzy operations such as union, intersection, complement, negation, conjunction and disjunction. The initial formulation of these terms stems from the definition of complex fuzzy grade of membership. The problem, however, with these definitions are twofold: 1) the complex fuzzy membership is limited to polar representation w
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Dissertations / Theses on the topic "Complex fuzzy sets"

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McCulloch, Josie C. "Novel methods of measuring the similarity and distance between complex fuzzy sets." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/33401/.

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This thesis develops measures that enable comparisons of subjective information that is represented through fuzzy sets. Many applications rely on information that is subjective and imprecise due to varying contexts and so fuzzy sets were developed as a method of modelling uncertain data. However, making relative comparisons between data-driven fuzzy sets can be challenging. For example, when data sets are ambiguous or contradictory, then the fuzzy set models often become non-normal or non-convex, making them difficult to compare. This thesis presents methods of comparing data that may be repre
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Kim, Sungshin. "A neuro-fuzzy approach to optimization and control of complex nonlinear processes." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/14820.

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Marijana, Gorjanac Ranitović. "Neke klase planarnih mreža i intervalno-vrednosni rasplinuti skupovi." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2015. https://www.cris.uns.ac.rs/record.jsf?recordId=93345&source=NDLTD&language=en.

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U radu je ispitan sledeći problem: <em>Pod kojim&nbsp;uslovima se može rekonstruisati&nbsp; (sintetisati)&nbsp;intervalno-vrednosni rasplinuti skup iz&nbsp; poznate&nbsp;familije nivo skupova.</em>U tu svrhu su proučena svojstva mreža&nbsp;intervala za svaki od četiri izabrana mrežna&nbsp;uređenja: poredak po komponentama, neprecizni&nbsp;poredak (skupovna inkluzija), strogi &nbsp;i leksikografski&nbsp;poredak.&nbsp;Definisane su i-između i ili-između ravne&nbsp;mreže&nbsp;&nbsp; i ispitana njihova svojstva potrebna za&nbsp;re&scaron;avanje postavljenog problema sinteze za&nbsp;intervalno-vred
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Chiang, Tai-Wei, and 江泰緯. "Intelligent Neuro-Fuzzy Computing with Complex Fuzzy Sets and ARIMA Models." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/25481675924809065134.

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博士<br>國立中央大學<br>資訊管理學系<br>102<br>Ever since the initiate of the theory of complex fuzzy sets (CFSs), a new vision has dawned upon fuzzy systems and their variants. Although there has been considerable development made in determining the properties of CFSs, the research on complex fuzzy system designs and applications of this concept is found rarely. In this dissertation, we present a novel self-organizing complex neuro-fuzzy intelligent approach using CFSs for the applications of system modeling. The proposed approach integrates a complex neuro-fuzzy system (CNFS) using CFSs and auto-regressiv
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Wu, Tsunghan, and 吳宗翰. "A Computational Intelligence Based Approach with Complex Fuzzy Sets to Adaptive Image Noise Processing." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/31489838362263949733.

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碩士<br>國立中央大學<br>資訊管理研究所<br>98<br>In this thesis, we propose two novel adaptive filters, complex neuro-fuzzy system (CNFS) and self-organizing complex neuro-fuzzy system (SOCNFS), and apply them to the problem of adaptive image noise cancelling (AINC). Complex fuzzy sets (CFS) and Takagi-Sugeno (T-S) fuzzy If-Then rules are used to shape the structure of both the CNFS and SOCNFS. A CFS is the fuzzy set whose membership is complex-valued state within the unit disk in complex plane. We devise a hybrid optimization method to adapt the adaptive filters for the AINC problem. The hybrid learning meth
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Books on the topic "Complex fuzzy sets"

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Esipov, Yuriy, Besik Meshi, Mustafa Dzhilyadzhi, and Aleksandr Hazov. Scientific and applied tasks of technosphere safety. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1882552.

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The monograph sets and solves the following tasks in a complex: systematization of types of safety; formalization of the structure and models of accidents; unification of the concepts of "safety" and "risk", primarily in relation to technical systems "protection - object - subject - environment"; as well as the tasks of combining and (or) generalization of algorithms for calculating safety indicators and the risk of systems based on probabilistic and possibilistic (fuzzy) measures of occurrence of accidents and the establishment of application boundaries for "objective" and (or) "subjective" i
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(Editor), Weiling Chiang, and Jonathan Lee (Editor), eds. Fuzzy Logic for the Applications to Complex Systems: Proceedings of the International Joint Conference of Cfsa/Ifis/Soft '95 on Fuzzy Theory and Applications Taipei, Taiwan, 7-9 December 1995. World Scientific Pub Co Inc, 1995.

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Book chapters on the topic "Complex fuzzy sets"

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Zhao, Zhi-qing, and Sheng-quan Ma. "Fuzzy Complex-Valued Fuzzy Measure Base on Fuzzy Complex Sets." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28592-9_21.

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Yazdanbakhsh, Omolbanin, and Scott Dick. "Time-Series Forecasting via Complex Fuzzy Logic." In Frontiers of Higher Order Fuzzy Sets. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-3442-9_8.

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Akram, Muhammad, and Maria Shabir. "Complex T-Spherical Fuzzy N-Soft Sets." In Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85577-2_95.

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Csajbók, Zoltán Ernő. "Some Roughness Features of Fuzzy Sets." In Computational Intelligence and Mathematics for Tackling Complex Problems 2. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88817-6_26.

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Tamir, Dan E., Naphtali D. Rishe, and Abraham Kandel. "Complex Fuzzy Sets and Complex Fuzzy Logic an Overview of Theory and Applications." In Fifty Years of Fuzzy Logic and its Applications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19683-1_31.

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Močkoř, Jiří. "Closure Operators on AMV-Valued Fuzzy Sets." In Computational Intelligence and Mathematics for Tackling Complex Problems 5. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-46979-4_8.

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Krídlo, Ondrej, and Manuel Ojeda-Aciego. "Sugeno Integral for Atanassov Intuitionistic Fuzzy Sets." In Computational Intelligence and Mathematics for Tackling Complex Problems 4. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07707-4_9.

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Debnath, Somen. "Interval Complex q-Rung Orthopair Fuzzy Aggregation Operators and Their Applications in Cite Selection of Electric Vehicle." In q-Rung Orthopair Fuzzy Sets. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1449-2_15.

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Selvachandran, Ganeshsree, Omar Awad Mashaan, and Abdul Ghafur Ahmad. "Algebraic and Graphical Interpretation of Complex Fuzzy Annulus (an Extension of Complex Fuzzy Sets)." In Communications in Computer and Information Science. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2777-2_19.

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Khan, Mohsin, Sadaf Umar, and Said Broumi. "Laplacian Energy of a Complex Neutrosophic Graph." In Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00045-5_9.

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Conference papers on the topic "Complex fuzzy sets"

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Priya, Apathi Hari, and Abdul Rahman. "Complex Fuzzy Sets Based Rank Data Processing and Generation." In 2024 First International Conference on Data, Computation and Communication (ICDCC). IEEE, 2024. https://doi.org/10.1109/icdcc62744.2024.10961061.

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de Oliveira, Wesley R. "Study of a Condition Monitoring Method Based on the Concept of Complex Fuzzy Sets." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711633.

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Patterson, Frank, and Daniel Schrage. "Comparison of Probabilistic and Fuzzy Multi-Attribute Decision Making Methods for Capturing Uncertainty in Concept Selection." In Vertical Flight Society 71st Annual Forum & Technology Display. The Vertical Flight Society, 2015. http://dx.doi.org/10.4050/f-0071-2015-10118.

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An evolving set of modern conceptual design methods seek to explore the feasibility of a new generation of systems, with new capabilities, to accomplish missions that conventional vehicles cannot be empirically redesigned to perform. These methods attempt to provide a more complete understanding of a concept's design space, and can accurately forecast a design's feasibility in the face of huge uncertainties at the conceptual stage. Modern Multi-Attribute Decision Making (MADM) techniques are evolving to help designers narrow large sets of potential concept architectures while accounting for th
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Tonetti, Lorenzo G., and Ruy de Sousa. "Computational Intelligence Applied to the Mathematical Modeling of the Esterification of Fatty Acids with Sugars." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.190968.

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The mathematical modeling of enzymatic reactors for esterification of fatty acids with sugars in the production of biosurfactants has been a useful tool for studying and optimizing the process. In particular, artificial neural networks and fuzzy systems emerge as promising methods for developing models for those processes. In this work, regarding artificial neural networks application, coupling of networks to reactor mass balances was considered in hybrid models to infer reactant concentrations over time. Computationally, an algorithm was constructed incorporating material balances, neural rea
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Alkouri, Abdulazeez (Moh'd Jumah) S., and Abdul Razak Salleh. "Complex intuitionistic fuzzy sets." In INTERNATIONAL CONFERENCE ON FUNDAMENTAL AND APPLIED SCIENCES 2012: (ICFAS2012). AIP, 2012. http://dx.doi.org/10.1063/1.4757515.

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Selvachandran, Ganeshsree, Nisren A. Hafeed, and Abdul Razak Salleh. "Complex fuzzy soft expert 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/10.1063/1.4980969.

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Greenfield, Sarah, and Francisco Chiclana. "Fuzzy in 3-D: Contrasting complex fuzzy sets with type-2 fuzzy sets." In 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS). IEEE, 2013. http://dx.doi.org/10.1109/ifsa-nafips.2013.6608578.

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Al-Qudah, Yousef, and Nasruddin Hassan. "Fuzzy parameterized complex multi-fuzzy soft expert sets." In THE 2018 UKM FST POSTGRADUATE COLLOQUIUM: Proceedings of the Universiti Kebangsaan Malaysia, Faculty of Science and Technology 2018 Postgraduate Colloquium. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5111229.

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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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Moses, D., O. Degani, H. N. Teodorescu, M. Friedman, and A. Kandel. "Linguistic coordinate transformations for complex fuzzy sets." In Proceedings of 8th International Fuzzy Systems Conference. IEEE, 1999. http://dx.doi.org/10.1109/fuzzy.1999.790097.

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Reports on the topic "Complex fuzzy sets"

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Raso-Domínguez, Xavier, Diana Vazquez Espinosa, Gift Dembetembe, and Philippe Gugler. The Equality Cookbook: Swiss Companies’ Recipes for Gender Parity. Cantonal and University Library Fribourg, 2025. https://doi.org/10.51363/unifr.ewp.r7xxx6.

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Corporations are under increasing pressure to align with SDG 5 (Gender Equality), ensuring equal opportunities for women and men in leadership, pay, and career growth. While studies on gender equality are growing, limited research explores the evolutionary paths leading to gender parity. This paper employs Time-Series fuzzy-set qualitative comparative analysis (TS/fsQCA) to examine the distinct and evolving paths that lead to gender parity within Swiss companies between 2020 and 2023. By analysing configurations of variables, including board independence, changes in women’s representation in m
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