Relevant bibliographies by topics / Fuzzy

Contents

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

Academic literature on the topic 'Fuzzy'

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

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Journal articles on the topic "Fuzzy"

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Zhang, Xiaohong. "On Some Fuzzy Filters in Pseudo-BCIAlgebras." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/718972.

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Some new properties of fuzzy associative filters (also known as fuzzy associative pseudo-filters), fuzzyp-filter (also known as fuzzy pseudo-p-filters), and fuzzya-filter (also known as fuzzy pseudo-a-filters) in pseudo-BCIalgebras are investigated. By these properties, the following important results are proved: (1) a fuzzy filter (also known as fuzzy pseudo-filters) of a pseudo-BCIalgebra is a fuzzy associative filter if and only if it is a fuzzya-filter; (2) a filter (also known as pseudo-filter) of a pseudo-BCIalgebra is associative if and only if it is ana-filter (also call it pseudo-afil
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Şengönül, M., and Z. Zararsız. "Some Additions to the Fuzzy Convergent and Fuzzy Bounded Sequence Spaces of Fuzzy Numbers." Abstract and Applied Analysis 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/837584.

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Some properties of the fuzzy convergence and fuzzy boundedness of a sequence of fuzzy numbers were studied in Choi (1996). In this paper, we have consider, some important problems on these spaces and shown that these spaces are fuzzy complete module spaces. Also, the fuzzyα-, fuzzyβ-, and fuzzyγ-duals of the fuzzy module spaces of fuzzy numbers have been computeded, and some matrix transformations are given.
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Mukherjee, M. N., та S. P. Sinha. "Fuzzyθ-closure operator on fuzzy topological spaces". International Journal of Mathematics and Mathematical Sciences 14, № 2 (1991): 309–14. http://dx.doi.org/10.1155/s0161171291000364.

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The paper contains a study of fuzzyθ-closure operator,θ-closures of fuzzy sets in a fuzzy topological space are characterized and some of their properties along with their relation with fuzzyδ-closures are investigated. As applications of these concepts, certain functions as well as some spaces satisfying certain fuzzy separation axioms are characterized in terms of fuzzyθ-closures andδ-closures.
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Kumbhojkar, H. V. "Proper Fuzzification of Prime Ideals of a Hemiring." Advances in Fuzzy Systems 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/801650.

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Prime fuzzy ideals, prime fuzzyk-ideals, and prime fuzzyh-ideals are roped in one condition. It is shown that this way better fuzzification is achieved. Other major results of the paper are: every fuzzy ideal (resp.,k-ideal,h-ideal) is contained in a prime fuzzy ideal (resp.,k-ideal,h-ideal). Prime radicals and nil radicals of a fuzzy ideal are defined; their relationship is established. The nil radical of a fuzzyk-ideal (resp., anh-ideal) is proved to be a fuzzyk-ideal (resp.,h-ideal). The correspondence theorems for different types of fuzzy ideals of hemirings are established. The concept of
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Uehara, Kiyohiko, and Kaoru Hirota. "A Fast Method for Fuzzy Rules Learning with Derivative-Free Optimization by Formulating Independent Evaluations of Each Fuzzy Rule." Journal of Advanced Computational Intelligence and Intelligent Informatics 25, no. 2 (2021): 213–25. http://dx.doi.org/10.20965/jaciii.2021.p0213.

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A method is proposed for evaluating fuzzy rules independently of each other in fuzzy rules learning. The proposed method is named α-FUZZI-ES (α-weight-based fuzzy-rule independent evaluations) in this paper. In α-FUZZI-ES, the evaluation value of a fuzzy system is divided out among the fuzzy rules by using the compatibility degrees of the learning data. By the effective use of α-FUZZI-ES, a method for fast fuzzy rules learning is proposed. This is named α-FUZZI-ES learning (α-FUZZI-ES-based fuzzy rules learning) in this paper. α-FUZZI-ES learning is especially effective when evaluation functio
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Lee, Seok Jong, and Eun Pyo Lee. "Fuzzyr-continuous and fuzzyr-semicontinuous maps." International Journal of Mathematics and Mathematical Sciences 27, no. 1 (2001): 53–63. http://dx.doi.org/10.1155/s0161171201010882.

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We introduce a new notion of fuzzyr-interior which is an extension of Chang's fuzzy interior. Using fuzzyr-interior, we define fuzzyr-semiopen sets and fuzzyr-semicontinuous maps which are generalizations of fuzzy semiopen sets and fuzzy semicontinuous maps in Chang's fuzzy topology, respectively. Some basic properties of fuzzyr-semiopen sets and fuzzyr-semicontinuous maps are investigated.
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M.Thusleem, Furjana, and M.Bhanumathi. "Fuzzy Metric Dimension of Fuzzy Hypercube Qn and Fuzzy Boolean Graphs." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 3690–96. https://doi.org/10.35940/ijeat.C6226.029320.

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Let G = (V, E, ) be a fuzzy graph. Let M be a subset of V. M is said to be a fuzzy metric basis of G if for every pair of vertices x, y  V ‒ M, there exists a vertex w  M such that d (w, x)  d (w, y). The number of elements in M is said to be fuzzy metric dimension (FMD) of G and is denoted by  (G). The elements in M are called as source vertices. In this paper, we study the fuzzy metric dimension of fuzzy hypercube Qn, fuuzy Boolean Graph BG2 (G) and fuzzy Boolean Graph BG3 (G).
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Jeon, Joung Kon, Young Bae Jun, and Jin Han Park. "Intuitionistic fuzzy alpha-continuity and intuitionistic fuzzy precontinuity." International Journal of Mathematics and Mathematical Sciences 2005, no. 19 (2005): 3091–101. http://dx.doi.org/10.1155/ijmms.2005.3091.

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A characterization of intuitionistic fuzzyα-open set is given, and conditions for an IFS to be an intuitionistic fuzzyα-open set are provided. Characterizations of intuitionistic fuzzy precontinuous (resp.,α-continuous) mappings are given.
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Raj, A. Stanley, D. Hudson Oliver, and Y. Srinivas. "Geoelectrical Data Inversion by Clustering Techniques of Fuzzy Logic to Estimate the Subsurface Layer Model." International Journal of Geophysics 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/134834.

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Soft computing based geoelectrical data inversion differs from conventional computing in fixing the uncertainty problems. It is tractable, robust, efficient, and inexpensive. In this paper, fuzzy logic clustering methods are used in the inversion of geoelectrical resistivity data. In order to characterize the subsurface features of the earth one should rely on the true field oriented data validation. This paper supports the field data obtained from the published results and also plays a crucial role in making an interdisciplinary approach to solve complex problems. Three clustering algorithms
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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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Dissertations / Theses on the topic "Fuzzy"

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Mezzomo, Ivan. "On fuzzy ideals and fuzzy filters of fuzzy lattices." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18692.

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Made available in DSpace on 2015-03-03T15:48:40Z (GMT). No. of bitstreams: 1 IvanM_TESE.pdf: 1798098 bytes, checksum: 03ae24b47cf77f2591da995af74bd268 (MD5) Previous issue date: 2013-12-06<br>In the literature there are several proposals of fuzzi cation of lattices and ideals concepts. Chon in (Korean J. Math 17 (2009), No. 4, 361-374), using the notion of fuzzy order relation de ned by Zadeh, introduced a new notion of fuzzy lattice and studied the level sets of fuzzy lattices, but did not de ne a notion of fuzzy ideals for this type of fuzzy lattice. In this thesis, using the fuzzy
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Biba, Vladislav. "Generované fuzzy implikátory ve fuzzy rozhodování." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-233558.

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Costa, Claudilene Gomes da. "Probabilidades imprecisas: intervalar, fuzzy e fuzzy intuicionista." Universidade Federal do Rio Grande do Norte, 2012. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15202.

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Made available in DSpace on 2014-12-17T14:55:08Z (GMT). No. of bitstreams: 1 ClaudileneGC_TESE.pdf: 853804 bytes, checksum: 011bfb4befb8b54fce2cd4b1b724efdb (MD5) Previous issue date: 2012-08-20<br>The idea of considering imprecision in probabilities is old, beginning with the Booles George work, who in 1854 wanted to reconcile the classical logic, which allows the modeling of complete ignorance, with probabilities. In 1921, John Maynard Keynes in his book made explicit use of intervals to represent the imprecision in probabilities. But only from the work ofWalley in 1991 that were establish
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Klapil, Ondřej. "Fuzzy systémy s netradičními antecedenty fuzzy pravidel." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-220884.

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The aim of this work is to introduce a new type of fuzzy system AnYa. This system, unlike the classical fuzzy systems Takagi-Sugeno and Mamdani, uses a type of antecendent based on real data distribution. As part of the work there will be mentioned system programmed and its functionality will be verified on testing data.
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Gomes, Luciana Takata 1984. "On fuzzy differential equations = Sobre equações diferenciais fuzzy." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/307565.

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Orientadores: Laécio Carvalho de Barros, Barnabas Bede<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Matemática, Estatística e Computação Científica<br>Made available in DSpace on 2018-08-24T00:25:40Z (GMT). No. of bitstreams: 1 Gomes_LucianaTakata_D.pdf: 2706174 bytes, checksum: bb5833b7b2c8f5e094b30eefd64e7426 (MD5) Previous issue date: 2014<br>Resumo: A partir da proposta das definições de derivada e integral fuzzy via extensão de Zadeh dos respectivos operadores para funções clássicas, obtemos uma versão do teorema fundamental do cálculo e desenvolvemos uma nova
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Naman, Saleem Muhammad. "Eigen Fuzzy Sets of Fuzzy Relation with Applications." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4060.

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Eigen fuzzy sets of fuzzy relation can be used for the estimation of highest and lowest levels of involved variables when applying max-min composition on fuzzy relations. By the greatest eigen fuzzy sets (set which can be greater anymore) maximum membership degrees of any fuzzy set can be found, with the help of least eigen fuzzy set (set which can be less anymore) minimum membership degrees of any fuzzy sets can be found as well.The lowest and highest level, impact or e ffect of anything can be found by applying eigen fuzzy set theory. The implicational aspect of this research study is medica
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Lee, John Wan Tung. "The discovery of fuzzy rules from fuzzy databases." Thesis, University of Sunderland, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298322.

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Hüsselmann, Claus. "Fuzzy-Geschäftsprozessmanagement /." Lohmar ; Köln : Eul, 2003. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=010483351&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Zugl.: Saarbrücken, Universiẗat, Diss., 2003 u.d.T.: Hüsselmann, Claus: Unscharfe Informationen in der Unternehmensmodellierung - formale Integration von Unbestimmtheitsaspekten in die ereignisgesteuerte Geschäftsprozessmodellierung.
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Strobel, Cornelia. "Fuzzy Fingerprinting." Universitätsbibliothek Chemnitz, 2005. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200500106.

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Fingerprints play an important role in biometrics and cryptography. Their creation might be based on one-way hash functions, which should usually also be collision-resistant. But users tend to draw less attention at those fingerprints - so an attacker might hand out a similar fingerprint in order to spoof identity. The main ideas for creating such 'fuzzy fingerprints' and the creation algorithm itself are discussed in this lecture. The demonstration of the tool, that produces fuzzy fingerprints shows the practical background of this technique<br>Fingerabdrücke besitzen sowohl in der Kryptograp
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Murugan, Anand. "Fuzzy blackholes." Pomona College, 2007. http://ccdl.libraries.claremont.edu/u?/stc,18.

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The fuzzball model of a black hole is an attempt to resolve the many paradoxes and puzzles of black hole physics that have revealed themselves over the last century. These badly behaved solutions of general relativity have given physicists one of the few laboratories to test candidate quantum theories of gravity. Though little is known about exactly what lies beyond the event horizon, and what the ultimate fate of matter that falls in to a black hole is, we know a few intriguing and elegant semi-classical results that have kept physicists occupied. Among these are the known black hole entropy
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Books on the topic "Fuzzy"

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Boynton, Sandra. Fuzzy, fuzzy, fuzzy!: Touch, skritch, & tickle book. Little Simon, 2003.

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Siegfried, Gottwald, ed. Fuzzy sets, fuzzy logic, fuzzy methods with applications. J. Wiley, 1995.

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Angleberger, Tom. Fuzzy. Abrams, 2016.

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Kahlert, Jörg, and Hubert Frank. Fuzzy-Logik und Fuzzy-Control. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-89197-6.

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Kahlert, Jörg, and Hubert Frank. Fuzzy-Logik und Fuzzy-Control. Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-83760-8.

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Gottwald, Siegfried. Fuzzy Sets and Fuzzy Logic. Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-86812-1.

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Driankov, Dimiter, Peter W. Eklund, and Anca L. Ralescu, eds. Fuzzy Logic and Fuzzy Control. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58279-7.

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Mordeson, John N., and Premchand S. Nair, eds. Fuzzy Graphs and Fuzzy Hypergraphs. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1854-3.

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Maria, Bojadziev, ed. Fuzzy sets, fuzzy logic, applications. World Scientific Pub. Co., 1995.

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1932-, Klir George J., and Yuan Bo, eds. Fuzzy sets, fuzzy logic, and fuzzy systems: Selected papers. World Scientific, 1996.

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Book chapters on the topic "Fuzzy"

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Rommelfanger, Heinrich. "Fuzzy-Wahrscheinlichkeiten, Fuzzy-Alternativen, Fuzzy-Zustände." In Fuzzy Decision Support-Systeme. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-57929-5_5.

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Rommelfanger, Heinrich. "Fuzzy-Wahrscheinlichkeiten, Fuzzy-Alternativen, Fuzzy-Zustände." In Entscheiden bei Unschärfe. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-97118-1_4.

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Nowé, Ann. "Keep Fuzzy Controllers Fuzzy." In International Series in Intelligent Technologies. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2357-4_11.

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Mann, Heinz, Horst Schiffelgen, Rainer Froriep, and Klaus Webers. "Fuzzy-Regler (Fuzzy-Controller)." In Einführung in die Regelungstechnik. Carl Hanser Verlag GmbH & Co. KG, 2018. http://dx.doi.org/10.3139/9783446456945.010.

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Potton, Alois. "Fuzzy." In Abgründe der Informatik. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-22975-6_3.

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Bandemer, Hans. "Fuzzy Analysis of Fuzzy Data." In Fuzzy Logic. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2014-2_36.

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Kahlert, Jörg, and Hubert Frank. "Fuzzy-Set-Theorie." In Fuzzy-Logik und Fuzzy-Control. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-89197-6_1.

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Kahlert, Jörg, and Hubert Frank. "Fuzzy-PID-Reglerentwurf." In Fuzzy-Logik und Fuzzy-Control. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-89197-6_10.

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Kahlert, Jörg, and Hubert Frank. "Fuzzy Construction Unit — Demo." In Fuzzy-Logik und Fuzzy-Control. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-89197-6_11.

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Kahlert, Jörg, and Hubert Frank. "Fuzzy-lnferenz." In Fuzzy-Logik und Fuzzy-Control. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-89197-6_2.

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Conference papers on the topic "Fuzzy"

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Qu, Yanpeng, Jiaxing Wu, Zhanwen Wu, and Longzhi Yang. "Fuzzy Rule Interpolation with A General Representation of Fuzzy Sets." In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2024. http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10612091.

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Chakeri, Alireza, Nasser Sadati, and Setareh Sharifian. "Fuzzy Nash equilibrium in fuzzy games using ranking fuzzy numbers." In 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2010. http://dx.doi.org/10.1109/fuzzy.2010.5584733.

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Torra, Vicenc, Laya Aliahmadipour, and Anders Dahlbom. "Fuzzy, I-fuzzy, and H-fuzzy partitions to describe clusters." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7737731.

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Mezzomo, Ivan, Benjamin C. Bedregal, and Regivan H. N. Santiago. "On fuzzy ideals of fuzzy lattice." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6251307.

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Gegeny, David, and Szilveszter Kovacs. "Fuzzy Interpolation of Fuzzy Rough Sets." In 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2022. http://dx.doi.org/10.1109/fuzz-ieee55066.2022.9882837.

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Razak, Tajul Rosli, Nor Hanimah Kamis, Nurul Hanan Anuar, Jonathan M. Garibaldi, and Christian Wagner. "Decomposing Conventional Fuzzy Logic Systems to Hierarchical Fuzzy Systems." In 2023 IEEE International Conference on Fuzzy Systems (FUZZ). IEEE, 2023. http://dx.doi.org/10.1109/fuzz52849.2023.10309727.

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Seki, Hirosato, and Masaharu Mizumoto. "Fuzzy singleton-type SIC fuzzy inference model." In 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2013. http://dx.doi.org/10.1109/fuzz-ieee.2013.6622583.

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Mekki, Ahmed O., Feng Lin, Hao Ying, and Michael J. Simoff. "Fuzzy detectabilities for fuzzy discrete event systems." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015431.

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Pivert, Olivier, Olfa Slama, and Virginie Thion. "Fuzzy quantified queries to fuzzy RDF databases." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015632.

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Klement, Erich Peter, Radko Mesiar, and Andrea Stupnanova. "Picture fuzzy sets and 3-fuzzy sets." In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2018. http://dx.doi.org/10.1109/fuzz-ieee.2018.8491520.

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Reports on the topic "Fuzzy"

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Çitil, Hülya. Solutions of Fuzzy Differential Equation with Fuzzy Number Coefficient by Fuzzy Laplace Transform. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2020. http://dx.doi.org/10.7546/crabs.2020.09.01.

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Tailor, Sanjay. Fuzzy Logic. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada310470.

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Kersten, Paul R. Fuzzy Order Statistics and Their Application to Fuzzy Clustering. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada368624.

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Osipov, G. S. Fuzzy elective selection model. Редакция журнала «ОПиПМ», 2019. http://dx.doi.org/10.18411/oppm-2019-26-1.

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d'Haultfoeuille, Xavier, and Clément de Chaisemartin. Fuzzy differences-in-differences. Cemmap, 2015. http://dx.doi.org/10.1920/wp.cem.2015.6915.

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Atanasso, Krassimir. Elliptic Intuitionistic Fuzzy Sets. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2021. http://dx.doi.org/10.7546/crabs.2021.06.02.

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Kersten, P. R. Fuzzy Robust Statistics for Application to the Fuzzy c-Means Clustering Algorithm. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada274719.

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Meitzler, Thomas J., David Bednarz, E. J. Sohn, Kimberly Lane, and Darryl Bryk. Fuzzy Logic Based Image Fusion. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada405123.

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Sirainen, T. IMAP4 Extension for Fuzzy Search. RFC Editor, 2011. http://dx.doi.org/10.17487/rfc6203.

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Kersten, P. R., and S. C. Nardone. Concepts of Fuzzy Model Assessment. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada280641.

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