Relevant bibliographies by topics / Fuzzy analysis

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

Academic literature on the topic 'Fuzzy analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Fuzzy analysis"

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Ma, Zhen Ming. "Some Types of Generalized Fuzzyn-Fold Filters in Residuated Lattices." Abstract and Applied Analysis 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/736872.

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Fuzzy filters and their generalized types have been extensively studied in the literature. In this paper, a one-to-one correspondence between the set of all generalized fuzzy filters and the set of all generalized fuzzy congruences is established, a quotient residuated lattice with respect to generalized fuzzy filter is induced, and several types of generalized fuzzyn-fold filters such as generalized fuzzyn-fold positive implicative (fantastic and Boolean) filters are introduced; examples and results are provided to demonstrate the relations among these filters.
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Ameer, Eskandar, Hassen Aydi, and Muhammad Arshad. "On Fuzzy Fixed Points and an Application to Ordinary Fuzzy Differential Equations." Journal of Function Spaces 2020 (November 12, 2020): 1–12. http://dx.doi.org/10.1155/2020/8835751.

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The aim of this paper is to obtain the common fuzz fixed points of α -fuzzy mappings satisfying generalized almost Y , Λ -contraction in complete metric spaces. Our results are extensions and improvements of the several well-known recent and classical results in literature. We give an example for supporting these results. As an application, we apply our obtained results to study the existence of a solution for a second order nonlinear boundary value problem.
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Ameen, Zanyar A., Tareq M. Al-shami, A. A. Azzam, and Abdelwaheb Mhemdi. "A Novel Fuzzy Structure: Infra-Fuzzy Topological Spaces." Journal of Function Spaces 2022 (April 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/9778069.

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Obtaining a weaker condition that preserves some inspired topological properties is always desirable. As a result, we introduce the concept of infra-fuzzy topology, which is a subset family that degrades the concept of fuzzy topology by omitting the condition of closedness under arbitrary unions. Fundamental properties of infra-fuzzy topological spaces are investigated, including infra-fuzzy open and infra-fuzzy closed sets, infra-fuzzy interior and infra-fuzzy closure operators, and the infra-fuzzy boundary of a fuzzy set. It is not possible to expect the latter concepts to have properties id
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Byrne, Peter. "Fuzzy analysis." Journal of Property Valuation and Investment 13, no. 3 (1995): 22–41. http://dx.doi.org/10.1108/14635789510088591.

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Madhuri, V., Omar Bazighifan, Ali Hasan Ali, and A. El-Mesady. "On Fuzzy F ∗ -Simply Connected Spaces in Fuzzy F ∗ -Homotopy." Journal of Function Spaces 2022 (April 28, 2022): 1–6. http://dx.doi.org/10.1155/2022/9926963.

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In this paper, the notions of fuzzy F ∗ -simply connected spaces and fuzzy F ∗ -structure homeomorphisms are introduced, and further fuzzy F ∗ -structure homeomorphism between fuzzy F ∗ -path-connected spaces are studied. Also, it is shown that every fuzzy F ∗ -structure subspace of fuzzy F ∗ -simply connected space is fuzzy F ∗ -simply connected subspace. Further, the concepts of fuzzy F ∗ -contractible spaces and fuzzy F ∗ -retracts are introduced, and it is proved that every fuzzy F ∗ -contractible space is fuzzy F ∗ -simply connected.
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Pedrycz, Witold. "From fuzzy data analysis and fuzzy regression to granular fuzzy data analysis." Fuzzy Sets and Systems 274 (September 2015): 12–17. http://dx.doi.org/10.1016/j.fss.2014.04.017.

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Papageorgiou, Nikolaos S. "Fuzzy topology and fuzzy multifunctions." Journal of Mathematical Analysis and Applications 109, no. 2 (1985): 397–425. http://dx.doi.org/10.1016/0022-247x(85)90159-3.

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Prevot, M. "Fuzzy goals under fuzzy constraints." Journal of Mathematical Analysis and Applications 118, no. 1 (1986): 180–93. http://dx.doi.org/10.1016/0022-247x(86)90302-1.

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Al-shami, Tareq M., Hariwan Z. Ibrahim, A. A. Azzam, and Ahmed I. EL-Maghrabi. "SR-Fuzzy Sets and Their Weighted Aggregated Operators in Application to Decision-Making." Journal of Function Spaces 2022 (March 11, 2022): 1–14. http://dx.doi.org/10.1155/2022/3653225.

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An intuitionistic fuzzy set is one of the efficient generalizations of a fuzzy set for dealing with vagueness/uncertainties in information. Under this environment, in this manuscript, we familiarize a new type of extensions of fuzzy sets called square-root fuzzy sets (briefly, SR-Fuzzy sets) and contrast SR-Fuzzy sets with intuitionistic fuzzy sets and Pythagorean fuzzy sets. We discover the essential set of operations for the SR-Fuzzy sets along with their several properties. In addition, we define a score function for the ranking of SR-Fuzzy sets. To study multiattribute decision-making prob
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Bhunia, Supriya, Ganesh Ghorai, Marwan Amin Kutbi, Muhammad Gulzar, and Md Ashraful Alam. "On the Algebraic Characteristics of Fuzzy Sub e-Groups." Journal of Function Spaces 2021 (October 20, 2021): 1–7. http://dx.doi.org/10.1155/2021/5253346.

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Fuzzy set is a modern tool for depicting uncertainty. This paper introduces the concept of fuzzy sub e-group as an extension of fuzzy subgroup. The concepts of identity and inverse are generalized in fuzzy sub e-groups. Every fuzzy subgroup is proven to be a fuzzy sub e-group, but the converse is not true. Various properties of fuzzy sub e-groups are established. Moreover, the concepts of proper fuzzy sub e-group and super fuzzy sub e-group are discussed. Further, the concepts of fuzzy e-coset and normal fuzzy sub e-group are presented. Finally, we describe the effect of e-group homomorphism o
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Dissertations / Theses on the topic "Fuzzy analysis"

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Karim, Ehsanul, Sri Phani Venkata Siva Krishna Madani, and Feng Yun. "Fuzzy Clustering Analysis." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2165.

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The Objective of this thesis is to talk about the usage of Fuzzy Logic in pattern recognition. There are different fuzzy approaches to recognize the pattern and the structure in data. The fuzzy approach that we choose to process the data is completely depends on the type of data. Pattern reorganization as we know involves various mathematical transforms so as to render the pattern or structure with the desired properties such as the identification of a probabilistic model which provides the explaination of the process generating the data clarity seen and so on and so forth. With this basic sch
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Drobics, Mario. "Data analysis using fuzzy expressions /." Linz : Trauner, 2005. http://aleph.unisg.ch/hsgscan/hm00166742.pdf.

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Chan, Chee Seng. "Fuzzy qualitative human motion analysis." Thesis, University of Portsmouth, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494009.

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Human motion analysis is a very important task for computer vision with a spectrum of potential applications. This thesis presents a novel approach to the problem of human motion understanding. The main contribution of the thesis is that fuzzy qualitative description has been developed for studying human motion from image sequences.
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Yamazaki, Tsukasa. "An improved algorithm for a self-organising controllerd its experimental analysis." Thesis, Queen Mary, University of London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320959.

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Reynolds, Robert. "Gene Expression Data Analysis Using Fuzzy Logic." Fogler Library, University of Maine, 2001. http://www.library.umaine.edu/theses/pdf/REynoldsR2001.pdf.

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Conroy, Justin Anderson. "Analysis of adaptive neuro-fuzzy network structures." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/19684.

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Popoola, Ademola Olayemi. "Fuzzy-wavelet method for time series analysis." Thesis, University of Surrey, 2006. http://epubs.surrey.ac.uk/804949/.

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Merilan, Jean Elizabeth 1962. "The Use of Fuzzy Analysis in Epidemiology." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/565573.

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De, Maio Carmen. "Fuzzy concept analysis for semantic knowledge extraction." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/1307.

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2010 - 2011<br>Availability of controlled vocabularies, ontologies, and so on is enabling feature to provide some added values in terms of knowledge management. Nevertheless, the design, maintenance and construction of domain ontologies are a human intensive and time consuming task. The Knowledge Extraction consists of automatic techniques aimed to identify and to define relevant concepts and relations of the domain of interest by analyzing structured (relational databases, XML) and unstructured (text, documents, images) sources. Specifically, methodology for knowledge extraction defined in t
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Glodeanu, Cynthia Vera. "Conceptual Factors and Fuzzy Data." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-103775.

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With the growing number of large data sets, the necessity of complexity reduction applies today more than ever before. Moreover, some data may also be vague or uncertain. Thus, whenever we have an instrument for data analysis, the questions of how to apply complexity reduction methods and how to treat fuzzy data arise rather naturally. In this thesis, we discuss these issues for the very successful data analysis tool Formal Concept Analysis. In fact, we propose different methods for complexity reduction based on qualitative analyses, and we elaborate on various methods for handling fuzzy data.
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Books on the topic "Fuzzy analysis"

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Bandemer, Hans. Fuzzy data analysis. Kluwer Academic Publishers, 1992.

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Bandemer, Hans, and Wolfgang Näther. Fuzzy Data Analysis. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2506-2.

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1949-, Fedrizzi Mario, and Kacprzyk Janusz, eds. Fuzzy regression analysis. Omnitech Press, 1992.

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1939-, Bezdek James C., International Fuzzy Systems Association, and FIP-84 (1984 :. Kauai), eds. Analysis of fuzzy information. CRC Press, 1987.

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1939-, Bezdek James C., ed. Analysis of fuzzy information. CRC Press, 1987.

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1939-, Bezdek James C., ed. Analysis of fuzzy information. CRC Press, 1987.

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S, Farinwata Shehu, Filev Dimitar P. 1959-, and Langari Reza, eds. Fuzzy control: Synthesis and analysis. Wiley, 2000.

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Rabetge, Christian. Fuzzy Sets in der Netzplantechnik. Deutscher Universitäts-Verlag, 1991.

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Ishikawa, Akira, and Terry L. Wilson. Analysis and Evaluation of Fuzzy Systems. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0635-1.

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Cho, Yeol Je, Themistocles M. Rassias, and Reza Saadati. Fuzzy Operator Theory in Mathematical Analysis. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93501-0.

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Book chapters on the topic "Fuzzy analysis"

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Bede, Barnabas. "Fuzzy Analysis." In Mathematics of Fuzzy Sets and Fuzzy Logic. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35221-8_8.

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Zimmermann, H. J. "Fuzzy Analysis." In Fuzzy Set Theory—and Its Applications. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-015-8702-0_7.

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Zimmermann, H. J. "Fuzzy Analysis." In Fuzzy Set Theory—and Its Applications. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0646-0_7.

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Zimmermann, H. J. "Fuzzy Analysis." In Fuzzy Set Theory — and Its Applications. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7949-0_7.

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Zimmermann, H. J. "Fuzzy Analysis." In Fuzzy Set Theory — and Its Applications. Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-015-7153-1_7.

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Bandemer, Hans, and Wolfgang NÄther. "Fuzzy data." In Fuzzy Data Analysis. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2506-2_4.

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Berthold, Michael. "Fuzzy Logic." In Intelligent Data Analysis. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03969-4_8.

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Bandemer, Hans, and Wolfgang NÄther. "Qualitative analysis." In Fuzzy Data Analysis. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2506-2_5.

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Bandemer, Hans, and Wolfgang NÄther. "Quantitative analysis." In Fuzzy Data Analysis. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2506-2_6.

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Mordeson, John N., Sunil Mathew, and G. Gayathri. "Nonstandard Analysis." In Fuzzy Graph Theory. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-23108-7_2.

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Conference papers on the topic "Fuzzy analysis"

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Nakamura, Tsuyoshi, and Takuya Miura. "Analysis of the Acoustic Characteristics of Takarazuka Revue Member Names." In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2024. http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10611782.

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Jefferson, Chris, Han Liu, and Mihaela Cocea. "Fuzzy approach for sentiment analysis." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015577.

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Ida, Masaaki. "Textual information and correspondence analysis in curriculum analysis." In 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2009. http://dx.doi.org/10.1109/fuzzy.2009.5277328.

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Massouros, Ch G., and G. G. Massouros. "On 2-element fuzzy and mimic fuzzy hypergroups." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756632.

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She, Wei, and Yangdong Ye. "Fault diagnosis via fuzzy time analysis." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6250796.

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Granville, N. W. "Fuzzy analysis of fuzzy images." In IEE Colloquium Intelligent Methods in Healthcare and Medical Applications. IEE, 1998. http://dx.doi.org/10.1049/ic:19981034.

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Molina-Lozano, Heron, Edgar E. Vallejo-Clemente, and Juan E. Morett-Sanchez. "DNA sequence analysis using fuzzy grammars." In 2008 IEEE 16th International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2008. http://dx.doi.org/10.1109/fuzzy.2008.4630631.

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Suleman, Abdul. "Validation of archetypal analysis." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015385.

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Yeh, Chi-Tsuen. "A formula for fuzzy linear regression analysis." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007563.

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Yeh, Jen-Wei, Shun-Feng Su, Jin-Tsong Jeng, and Bor-Sen Chen. "On learning analysis of neural fuzzy systems." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584389.

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Reports on the topic "Fuzzy analysis"

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Gluckman, Albert G., and Aivars Celmins. Cost Effectiveness Analysis Using Fuzzy Set Theory. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada274003.

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Zwick, Rami, Edward Carlstein, and David Budescu. Measures of Similarity between Fuzzy Concepts: A Comparative Analysis. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada189430.

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Cooper, J. A. Fuzzy-algebra uncertainty analysis for abnormal-environment safety assessment. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10119580.

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Marques, Paulo. Outsiderness among young people in Europe: A fuzzy set analysis. DINÂMIA'CET-IUL, 2014. http://dx.doi.org/10.7749/dinamiacet-iul.wp.2014.03.

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Robert S. Balch and Ronald F. Broadhead. A Customizable Fuzzy Expert System for Regional and Local Play Analysis. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/926645.

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Xu, Li. Fuzzy multiobjective mathematical programming in economic systems analysis: design and method. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.471.

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Liang, Qilian, and Haining Shu. Wireless Sensor Network Lifetime Analysis Using Interval Type-2 Fuzzy Logic Systems. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada428428.

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Kryzhanivs'kyi, Evstakhii, Liliana Horal, Iryna Perevozova, Vira Shyiko, Nataliia Mykytiuk, and Maria Berlous. Fuzzy cluster analysis of indicators for assessing the potential of recreational forest use. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4470.

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Cluster analysis of the efficiency of the recreational forest use of the region by separate components of the recreational forest use potential is provided in the article. The main stages of the cluster analysis of the recreational forest use level based on the predetermined components were determined. Among the agglomerative methods of cluster analysis, intended for grouping and combining the objects of study, it is common to distinguish the three most common types: the hierarchical method or the method of tree clustering; the K-means Clustering Method and the two-step aggregation method. For
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Tsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora, and Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4370.

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The article describes the stages of modeling an intelligent system for evaluating multilevel test tasks based on fuzzy logic in the MATLAB application package, namely the Fuzzy Logic Toolbox. The analysis of existing approaches to fuzzy assessment of test methods, their advantages and disadvantages is given. The considered methods for assessing students are presented in the general case by two methods: using fuzzy sets and corresponding membership functions; fuzzy estimation method and generalized fuzzy estimation method. In the present work, the Sugeno production model is used as the closest
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Chang, Shing I., E. S. Lee, and Steven R. Hanna. A Comparative Study of Multivariate Analysis for Selection and Classification Using Fuzzy Measures and Reasoning. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada397639.

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