Auswahl der wissenschaftlichen Literatur zum Thema „Fuzzy modal logics“
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Zeitschriftenartikel zum Thema "Fuzzy modal logics"
Mironov, A. M. „Fuzzy Modal Logics“. Journal of Mathematical Sciences 128, Nr. 6 (August 2005): 3461–83. http://dx.doi.org/10.1007/s10958-005-0281-1.
Der volle Inhalt der QuelleHájek, Petr. „On fuzzy modal logics“. Fuzzy Sets and Systems 161, Nr. 18 (September 2010): 2389–96. http://dx.doi.org/10.1016/j.fss.2009.11.011.
Der volle Inhalt der QuelleMattila, Jorma K. „Modifier Logics Based on Graded Modalities“. Journal of Advanced Computational Intelligence and Intelligent Informatics 7, Nr. 2 (20.06.2003): 72–78. http://dx.doi.org/10.20965/jaciii.2003.p0072.
Der volle Inhalt der QuelleIashin, Boris Leonidovich. „Non-Classical Logics in Modern Science“. Философская мысль, Nr. 1 (Januar 2023): 15–25. http://dx.doi.org/10.25136/2409-8728.2023.1.39350.
Der volle Inhalt der QuelleBlondeel, Marjon, Tommaso Flaminio, Steven Schockaert, Lluís Godo und Martine De Cock. „On the relationship between fuzzy autoepistemic logic and fuzzy modal logics of belief“. Fuzzy Sets and Systems 276 (Oktober 2015): 74–99. http://dx.doi.org/10.1016/j.fss.2015.02.018.
Der volle Inhalt der QuelleMing-Sheng, Ying. „On standard models of fuzzy modal logics“. Fuzzy Sets and Systems 26, Nr. 3 (Juni 1988): 357–63. http://dx.doi.org/10.1016/0165-0114(88)90128-5.
Der volle Inhalt der QuelleLano, K. „Intuitionistic modal logic and set theory“. Journal of Symbolic Logic 56, Nr. 2 (Juni 1991): 497–516. http://dx.doi.org/10.2307/2274696.
Der volle Inhalt der QuelleCerami, Marco, Francesc Esteva und Àngel García-Cerdaña. „On the relationship between fuzzy description logics and many-valued modal logics“. International Journal of Approximate Reasoning 93 (Februar 2018): 372–94. http://dx.doi.org/10.1016/j.ijar.2017.11.006.
Der volle Inhalt der QuelleStankovic, Marko, Miroslav Ciric und Jelena Ignjatovic. „Simulations and bisimulations for fuzzy multimodal logics over Heyting algebras“. Filomat 37, Nr. 3 (2023): 711–43. http://dx.doi.org/10.2298/fil2303711s.
Der volle Inhalt der QuelleSakai, Hiroshi, und Masahiro Inuiguchi. „Special Issue on Rough Sets and Granular Computing“. Journal of Advanced Computational Intelligence and Intelligent Informatics 10, Nr. 5 (20.09.2006): 605. http://dx.doi.org/10.20965/jaciii.2006.p0605.
Der volle Inhalt der QuelleDissertationen zum Thema "Fuzzy modal logics"
KOZHEMIACHENKO, Daniil. „Paraconsistent and fuzzy modal logics for reasoning about uncertainty“. Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2023. http://www.theses.fr/2023ISAB0014.
Der volle Inhalt der QuelleThis dissertation is devoted to the study of fuzzy modal logics that formalise (paraconsistent) reasoning about uncertainty. The understanding of ‘uncertain information (data)’ here includes any combination of the following three characteristics. First, the information can be graded, i.e., the statement is equipped with a truth degree rather than a truth value. Second, the information can be incomplete. Third, the information can be contradictory.All the logics in question can be divided into two kinds. First, the more ‘traditional’ modal logics defined on [0,1]-valued Kripke models (possibly, with fuzzy accessibility relations) whose language includes modal operators interpreted as infima and suprema of values in the accessible states.The second kind of logics contains so-called ‘two-layered’ logics. In this framework, the language is divided into three parts: the inner layer, the outer layer, and the non-nesting modality. The idea is to use the inner-layer language to describe events, interpret the modality as a measure on the set of events (e.g., as a probability function, belief function, plausibility, etc.) corresponding to the degree of the agent's (un)certainty in a given event, and then reason about this (un)certainty in the outer-layer language. A frame in a two-layered logic is, thus, a set with a measure defined thereon.These two kinds of logics correspond to two ways of interpreting uncertainty. In the less formal one, we will be using the logics with the Kripke-frame semantics. In the more formal case where the degree of one's certainty or belief is assumed to behave as a concrete uncertainty measure, we will use the two-layered logics
Dod?, Adriano Alves. „On rich modal logics“. Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18688.
Der volle Inhalt der QuelleCoordena??o de Aperfei?oamento de Pessoal de N?vel Superior
I thank to my advisor, Jo?o Marcos, for the intellectual support and patience that devoted me along graduate years. With his friendship, his ability to see problems of the better point of view and his love in to make Logic, he became a great inspiration for me. I thank to my committee members: Claudia Nalon, Elaine Pimentel and Benjamin Bedregal. These make a rigorous lecture of my work and give me valuable suggestions to make it better. I am grateful to the Post-Graduate Program in Systems and Computation that accepted me as student and provided to me the propitious environment to develop my research. I thank also to the CAPES for a 21 months fellowship. Thanks to my research group, LoLITA (Logic, Language, Information, Theory and Applications). In this group I have the opportunity to make some friends. Someone of them I knew in my early classes, they are: Sanderson, Haniel and Carol Blasio. Others I knew during the course, among them I?d like to cite: Patrick, Claudio, Flaulles and Ronildo. I thank to Severino Linhares and Maria Linhares who gently hosted me at your home in my first months in Natal. This couple jointly with my colleagues of student flat Fernado, Don?tila and Aline are my nuclear family in Natal. I thank my fianc?e Lucl?cia for her precious a ective support and to understand my absence at home during my master. I thank also my parents Manoel and Zenilda, my siblings Alexandre, Paulo and Paula.Without their confidence and encouragement I wouldn?t achieve success in this journey. If you want the hits, be prepared for the misses Carl Yastrzemski
Esta disserta??o trata do enriquecimento de l?gicas modais. O termo enriquecimento ? usado em dois sentidos distintos. No primeiro deles, de fundo sem?ntico, propomos uma sem?ntica difusa para diversas l?gicas modais normais e demonstramos um resultado de completude para uma extensa classe dessas l?gicas enriquecidas com m?ltiplas inst?ncias do axioma da conflu?ncia. Um fato curioso a respeito dessa sem?ntica ? que ela se comporta como as sem?nticas de Kripke usuais. O outro enriquecimento diz respeito ? expressividade da l?gica e se d? por meio da adi??o de novos conectivos, especialmente de nega??es modais. Neste sentido, estudamos inicialmente o fragmento da l?gica cl?ssica positiva estendido com uma nega??o modal paraconsistente e mostramos que essa linguagem ? forte o suficiente para expressar as linguagens modais normais. Vemos que tamb?m ? poss?vel definir uma nega??o modal paracompleta e conectivos de restaura??o que internalizam as no??es de consist?ncia e determina??o a n?vel da linguagem-objeto. Esta l?gica constitui-se em uma L?gica da Inconsist?ncia Formal e em uma L?gica da Indetermina??o Formal. Em tais l?gicas, com o objetivo de recuperar infer?ncias cl?ssicas perdidas, demonstram-se Teoremas de Ajuste de Derivabilidade. No caso da l?gica estendida com uma nega??o paraconsistente, se removermos a implica??o ainda lidaremos com uma linguagem bastante rica, com ambas nega??es paranormais e seus respectivos conectivos de restaura??o. Sobre esta linguagem estudamos a l?gica modal normal minimal definida por meio de um c?lculo de Gentzen apropriado, ? diferen?a dos demais sistemas estudados at? ent?o, que s?o apresentados via c?lculo de Hilbert. Em seguida ap?s demonstrarmos a completude do sistema dedutivo associado a este c?lculo, introduzimos algumas extens?es desse sistema e buscamos Teoremas de Ajuste de Derivabilidade adequados
Vidal, Wandelmer Amanda. „On modal expansions of t-norm based logics with rational constants“. Doctoral thesis, Universitat de Barcelona, 2015. http://hdl.handle.net/10803/316575.
Der volle Inhalt der QuellePergl, Miroslav. „Vývojové prostředí pro umělou inteligenci Modul fuzzy čísel“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218054.
Der volle Inhalt der QuelleGarcía, Z. Yohn E. „Fuzzy logic in process control : a new fuzzy logic controller and an improved fuzzy-internal model controller“. [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001552.
Der volle Inhalt der QuelleGarcÃa, Z. Yohn E. „Fuzzy logic in process control: A new fuzzy logic controller and an improved fuzzy-internal model controller“. Scholar Commons, 2006. http://scholarcommons.usf.edu/etd/2529.
Der volle Inhalt der QuellePaulová, Martina. „Vyhodnocení nabídek pomocí fuzzy logiky“. Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241392.
Der volle Inhalt der QuelleAl-Humaidi, Hanouf M. „A fuzzy logic approach to model delays in construction projects“. Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1185539202.
Der volle Inhalt der QuellePeterek, Daniel. „Vyhodnocení dodavatelského rizika prostřednictvím fuzzy logiky“. Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-414170.
Der volle Inhalt der QuelleKutláková, Klára. „Aplikace fuzzy logiky při hodnocení dodavatelů firmy“. Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-241171.
Der volle Inhalt der QuelleBücher zum Thema "Fuzzy modal logics"
Hans, Hellendoorn, und Driankov Dimiter, Hrsg. Fuzzy model identification: Selected approaches. Berlin: Springer, 1997.
Den vollen Inhalt der Quelle findenTan, Joey Sing Yee, und Amandeep S. Sidhu. Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15585-8.
Der volle Inhalt der QuelleMiller, Marvin Lewis. Improvement of JANUS target acquisition using a fuzzy logic human factors model. Monterey, Calif: Naval Postgraduate School, 1994.
Den vollen Inhalt der Quelle findenVasil'eva, Natal'ya. Mathematical models in the management of copper production: ideas, methods, examples. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1014071.
Der volle Inhalt der QuelleBělohlávek, Radim, Joseph W. Dauben und George J. Klir. Fuzzy Logic in the Narrow Sense. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190200015.003.0004.
Der volle Inhalt der QuelleDostál, Petr, und Chia-Yang Lin. Business Applications of Fuzzy Logic. Herausgegeben von Shu-Heng Chen, Mak Kaboudan und Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.14.
Der volle Inhalt der QuelleHellendoorn, Hans, und Dimiter Driankov. Fuzzy Model Identification: Selected Approaches. Springer London, Limited, 2012.
Den vollen Inhalt der Quelle finden(Editor), Hans Hellendoorn, und Dimiter Driankov (Editor), Hrsg. Fuzzy Model Identification: Selected Approaches. Springer, 1998.
Den vollen Inhalt der Quelle findenSidhu, Amandeep S., und Joey Sing Yee Tan. Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation. Springer, 2019.
Den vollen Inhalt der Quelle findenŚlusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.
Der volle Inhalt der QuelleBuchteile zum Thema "Fuzzy modal logics"
Atanassov, Krassimir T. „Intuitionistic Fuzzy Modal Logics“. In Intuitionistic Fuzzy Logics, 79–124. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48953-7_3.
Der volle Inhalt der QuelleBou, Félix, Francesc Esteva und Lluís Godo. „On Possibilistic Modal Logics Defined Over MTL-Chains“. In Petr Hájek on Mathematical Fuzzy Logic, 225–44. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06233-4_11.
Der volle Inhalt der QuelleCintula, Petr, Carles Noguera und Jonas Rogger. „From Kripke to Neighborhood Semantics for Modal Fuzzy Logics“. In Information Processing and Management of Uncertainty in Knowledge-Based Systems, 95–107. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40581-0_9.
Der volle Inhalt der QuelleMarchioni, Enrico, und Lluís Godo. „A Logic for Reasoning About Coherent Conditional Probability: A Modal Fuzzy Logic Approach“. In Logics in Artificial Intelligence, 213–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30227-8_20.
Der volle Inhalt der QuelleMurai, Tetsuya, Masaaki Miyakoshi und Masaru Shimbo. „Measure-Based Semantics for Modal Logic“. In Fuzzy Logic, 395–405. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2014-2_37.
Der volle Inhalt der QuelleNakamori, Y., K. Suzuki und T. Yamanaka. „Model Predictive Control Using Fuzzy Dynamic Models“. In Fuzzy Logic, 497–506. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2014-2_46.
Der volle Inhalt der QuelleKruse, Rudolf, Jörg Gebhardt und Frank Klawonn. „Numerical and Logical Approaches to Fuzzy Set Theory by the Context Model“. In Fuzzy Logic, 365–76. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2014-2_34.
Der volle Inhalt der QuelleNovák, Vilém. „Fuzzy Logic and Fuzzy Sets“. In The Alternative Mathematical Model of Linguistic Semantics and Pragmatics, 61–86. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-2317-2_4.
Der volle Inhalt der QuelleGraham, Bruce, und Robert Newell. „An adaptive fuzzy model-based controller“. In Fuzzy Logic and Fuzzy Control, 56–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58279-7_19.
Der volle Inhalt der QuelleHájek, Petr, und Dagmar Harmancová. „A comparative fuzzy modal logic“. In Fuzzy Logic in Artificial Intelligence, 27–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56920-0_5.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Fuzzy modal logics"
Esteva, Francese, Lluis Godo und Ricardo Oscar Rodriguez. „On the relation between modal and multi-modal logics over Łukasiewicz logic“. In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015703.
Der volle Inhalt der QuelleBaldi, Paolo, Petr Cintula und Carles Noguera. „Translating Classical Probability Logics into Modal Fuzzy Logics“. In Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/eusflat-19.2019.49.
Der volle Inhalt der QuelleDodo, Adriano, Joao Marcos und Flaulles Boone Bergamaschi. „On classic-like fuzzy modal logics“. In 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS 2013). IEEE, 2013. http://dx.doi.org/10.1109/ifsa-nafips.2013.6608582.
Der volle Inhalt der QuelleNguyen, Linh Anh, und Ngoc-Thanh Nguyen. „Characterizing Crisp Simulations and Crisp Directed Simulations between Fuzzy Labeled Transition Systems by Using Fuzzy Modal Logics“. In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2021. http://dx.doi.org/10.1109/fuzz45933.2021.9494504.
Der volle Inhalt der QuelleFlaminio, Tommaso, Sandro Preto und Sara Ugolini. „Reasoning about Probability via Continuous Functions“. In 20th International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/kr.2023/28.
Der volle Inhalt der QuelleWild, Paul, Lutz Schröder, Dirk Pattinson und Barbara König. „A Modal Characterization Theorem for a Probabilistic Fuzzy Description Logic“. In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/263.
Der volle Inhalt der QuelleKaranikola, Loukia, und Isambo Karali. „Dempster-Shafer logical model for fuzzy Description Logics“. In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2016. http://dx.doi.org/10.1109/ssci.2016.7849960.
Der volle Inhalt der QuelleBouyer, Patricia, Orna Kupferman, Nicolas Markey, Bastien Maubert, Aniello Murano und Giuseppe Perelli. „Reasoning about Quality and Fuzziness of Strategic Behaviours“. In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/220.
Der volle Inhalt der QuelleMamboundou, Jerry, und Nicolas Langlois. „Indirect adaptive model predictive control supervised by fuzzy logic“. In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007612.
Der volle Inhalt der QuelleMizutani, Kaori, und Takamasa Akiyama. „A Logit Model for Modal Choice with a Fuzzy Logic Utility Function“. In Second International Conference on Transportation and Traffic Studies (ICTTS ). Reston, VA: American Society of Civil Engineers, 2000. http://dx.doi.org/10.1061/40503(277)49.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Fuzzy modal logics"
Borgwardt, Stefan, Felix Distel und Rafael Peñaloza. Gödel Description Logics: Decidability in the Absence of the Finitely-Valued Model Property. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.199.
Der volle Inhalt der QuelleBorgwardt, Stefan, und Rafael Peñaloza. Consistency in Fuzzy Description Logics over Residuated De Morgan Lattices. Technische Universität Dresden, 2012. http://dx.doi.org/10.25368/2022.188.
Der volle Inhalt der QuelleTsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora und Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, Juni 2021. http://dx.doi.org/10.31812/123456789/4370.
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