Relevant bibliographies by topics / Fuzzy NPN logic

Contents

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

Academic literature on the topic 'Fuzzy NPN logic'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Fuzzy NPN logic"

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Devedzic, Goran, Danijela Milosevic, Lozica Ivanovic, Dragan Adamovic, and Miodrag Manic. "Reasoning with linguistic preferences using NPN logic." Computer Science and Information Systems 7, no. 3 (2010): 511–28. http://dx.doi.org/10.2298/csis090223003d.

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Negative-positive-neutral logic provides an alternative framework for fuzzy cognitive maps development and decision analysis. This paper reviews basic notion of NPN logic and NPN relations and proposes adaptive approach to causality weights assessment. It employs linguistic models of causality weights activated by measurement-based fuzzy cognitive maps? concepts values. These models allow for quasi-dynamical adaptation to the change of concepts values, providing deeper understanding of possible side effects. Since in the real-world environments almost every decision has its consequences, prese
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Iashin, Boris Leonidovich. "Non-Classical Logics in Modern Science." Философская мысль, no. 1 (January 2023): 15–25. http://dx.doi.org/10.25136/2409-8728.2023.1.39350.

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Non-classical logicians have significantly expanded the traditional field of using logical methods. The first of them was the three-digit logic of Y. Lukasevich. Next came the three-digit logic of A. Bochvar, the "quantum logics" of G. Reichenbach and P. Detush-Fevrier, infinite-valued, probabilistic and other logics. The possibilities of non-classical logics have become widely used in various branches of scientific knowledge. Polysemantic, fuzzy, intuitionistic, modal, relevant and paranoherent, temporal and other non-classical logics are widely used today in physics, computational mathematic
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Angel, Garrido, and Yuste Piedad. "BRAIN Journal - Controversies about the Introduction of Non-Classical Logics." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 5, no. 1-5 (2014): 34–45. https://doi.org/10.5281/zenodo.1044117.

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ABSTRACT Logic is a set of well-formed formulae, along with an inference relation. But the Classical Logic is bivalent; for this reason, very limited to solve problems with uncertainty on the data. It is well-known that Artificial Intelligence requires Logic. Because its Classical version shows too many insufficiencies, it is very necessary to introduce more sophisticated tools, as may be NonClassical Logics; amongst them, Fuzzy Logic, Modal Logic, Non-Monotonic Logic, Para-consistent Logic, and so on. All them in the same line: against the dogmatism and the dualistic vision of the world: abso
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Zhang, Xiaohong, Xiangyu Ma, and Xuejiao Wang. "Filters in Strong BI-Algebras and Residuated Pseudo-SBI-Algebras." Mathematics 8, no. 9 (2020): 1513. http://dx.doi.org/10.3390/math8091513.

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The concept of basic implication algebra (BI-algebra) has been proposed to describe general non-classical implicative logics (such as associative or non-associative fuzzy logic, commutative or non-commutative fuzzy logic, quantum logic). However, this algebra structure does not have enough characteristics to describe residual implications in depth, so we propose a new concept of strong BI-algebra, which is exactly the algebraic abstraction of fuzzy implication with pseudo-exchange principle (PEP). Furthermore, in order to describe the characteristics of the algebraic structure corresponding to
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Angel, Garrido. "BRAIN Journal - A Brief History of Fuzzy Logic." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 2, no. 4 (2012): 71–77. https://doi.org/10.5281/zenodo.1042691.

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ABSTRACT These problems have been major topics in philosophical circles with much debate, in particular, about the nature of vagueness and the ability of traditional Boolean logic to cope with concepts and perceptions that are imprecise or vague. The Fuzzy Logic (which is usually translated into Castilian by “Lógica Borrosa”, or “Lógica Difusa”, but also by “Lógica Heurística”) can be considered a bypass-valued logics (Multi-valued Logic, MVL, its acronym in English). It is founded on, and is closely related to-Fuzzy Sets Theory, and successfully applied on Fuzzy Systems. You might think that
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Ma, Z. M., Fu Zhang, Hailong Wang, and Li Yan. "An overview of fuzzy Description Logics for the Semantic Web." Knowledge Engineering Review 28, no. 1 (2012): 1–34. http://dx.doi.org/10.1017/s0269888912000306.

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AbstractInformation imprecision and uncertainty exist in many real world applications, and such information would be retrieved, processed, shared, reused, and aligned in the maximum automatic way possible. As a popular family of formally well-founded and decidable knowledge representation languages, fuzzy Description Logics (fuzzy DLs), which extend DLs with fuzzy logic, are very well suited to cover for representing and reasoning with imprecision and uncertainty. Thus, a requirement naturally arises in many practical applications of knowledge-based systems, in particular the Semantic Web, bec
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Chajda, Ivan. "Basic algebras, logics, trends and applications." Asian-European Journal of Mathematics 08, no. 03 (2015): 1550040. http://dx.doi.org/10.1142/s1793557115500400.

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The classical logic was axiomatized algebraically by means of Boolean algebras in 19th century by George Boole. Similar attempts went on 20th century for algebraic axiomatization of non-classical logics, e.g. intuitionistic logics (Brouwer and Heyting algebras), many-valued logics (Łukasiewicz, Chang’s MV-algebras, Post algebras), the logic of quantum mechanics (orthomodular lattices and posets) and fuzzy logics (residuated lattices). In this paper, we are focused in a common generalization of MV-algebras and orthomodular lattices. The resulting algebras, called basic algebras, have surprising
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Johan, Tri Monarita, and Renty Ahmalia. "PENILAIAN MUTU DOSEN TERHADAP TRI DHARMA PERGURUAN TINGGI DENGAN MENERAPKAN LOGICA FUZZY LOGIC DI STIKES NAN TONGGA." Jurnal Akademika Baiturrahim Jambi 8, no. 2 (2019): 175. http://dx.doi.org/10.36565/jab.v8i2.167.

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Tri Dharma of Higher Education is an activity that must be carried out by every Lecturer. In this study an application was designed to apply Fuzzy logic to calculate the quality value of Lecturers on the implementation of Higher Education Tri Dharma. Higher Education has the aim of producing quality qualifications. Therefore we need competent teaching staff needed. The background of this research is to study the results obtained from the application and calculation using Fuzzy logic, also help the lecturer evaluation in the field of quality control. The Mamdani Method is often also known as th
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Johan, Tri Monarita, and Renty Ahmalia. "Penilaian Mutu Dosen terhadap Tri Dharma Perguruan Tinggi dengan Menerapkan Logica Fuzzy Logic di STIKES Nan Tongga." Jurnal Akademika Baiturrahim Jambi 8, no. 2 (2019): 26–32. http://dx.doi.org/10.36565/jabj.v8i2.10.

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Tri Dharma Perguruan Tinggi merupakan kegiatan yang harus dilakukan oleh setiap Dosen Pada penelitian ini dirancang aplikasi untuk menerapkan logika Fuzzy untuk perhitungan nilai mutu Dosen terhadap pelaksanaan Tri Dharma Perguruan Tinggi. Perguruan Tinggi memiliki tujuan menghasilkan lulusan-lulusan yang berkualitas. Oleh sebab itu dibutuhkan tenaga pengajar yang berkompeten dalam pengajaran. Latar belakang dari penelitian ini ingin mengetahui hasil yang didapat dari penerapan dan perhitungan menggunakan logika Fuzzy, juga membantu evaluasi Dosen pada bidang pengendali mutu.Penelitian ini ber
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Abdullahi Saleh, Ibrahim, and Aviral Srivastava. "Exploring the Intersection of Fuzzy Logic and Quantum Logic: A New Frontier in Non-Classical Logics." SciWaveBulletin 01, no. 02 (2023): 27–34. http://dx.doi.org/10.61925/swb.2023.1204.

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Dissertations / Theses on the topic "Fuzzy NPN logic"

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Borgwardt, Stefan. "Fuzzy Description Logics with General Concept Inclusions." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-145311.

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Description logics (DLs) are used to represent knowledge of an application domain and provide standard reasoning services to infer consequences of this knowledge. However, classical DLs are not suited to represent vagueness in the description of the knowledge. We consider a combination of DLs and Fuzzy Logics to address this task. In particular, we consider the t-norm-based semantics for fuzzy DLs introduced by Hájek in 2005. Since then, many tableau algorithms have been developed for reasoning in fuzzy DLs. Another popular approach is to reduce fuzzy ontologies to classical ones and use exist
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BONZIO, STEFANO. "Algebraic structures from quantum and fuzzy logics." Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266667.

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This thesis concerns the wide research area of logic. In particular, the first part is devoted to analyze different kinds of relational systems (orthogonal and residuated), by investigating the properties of the algebras associated to them. The second part is focused on algebras of logic, in particular, the relationship between prominent quantum and fuzzy structures with certain semirings is proved. The last chapter concerns an application of group theory to some well known mathematical puzzles.
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Dosi, Shubham. "Optimization and Further Development of an Algorithm for Driver Intention Detection with Fuzzy Logic and Edit Distance." Master's thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-202567.

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Inspired by the idea of vision zero, there is a lot of work that needs to be done in the field of advance driver assistance systems to develop more safer systems. Driver intention detection with a prediction of upcoming behavior of the driver is one possible solution to reduce the fatalities in road traffic. Driver intention detection provides an early warning of the driver's behavior to an Advanced Driver Assistance Systems (ADAS) and at the same time reduces the risk of non-essential warnings. This will significantly reduce the problem of warning dilemma and the system will become more safer
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Dadone, Paolo. "Design Optimization of Fuzzy Logic Systems." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/27893.

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Fuzzy logic systems are widely used for control, system identification, and pattern recognition problems. In order to maximize their performance, it is often necessary to undertake a design optimization process in which the adjustable parameters defining a particular fuzzy system are tuned to maximize a given performance criterion. Some data to approximate are commonly available and yield what is called the supervised learning problem. In this problem we typically wish to minimize the sum of the squares of errors in approximating the data. We first introduce fuzzy logic systems and the superv
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Hempel, Arne-Jens. "Netzorientierte Fuzzy-Pattern-Klassifikation nichtkonvexer Objektmengenmorphologien." Doctoral thesis, Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-77040.

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Die Arbeit ordnet sich in das Gebiet der unscharfen Klassifikation ein und stellt im Detail eine Weiterführung der Forschung zur Fuzzy-Pattern-Klassifikation dar. Es handelt sich dabei um eine leistungsfähige systemtheoretische Methodik zur klassifikatorischen Modellierung komplexer, hochdimensionaler, technischer oder nichttechnischer Systeme auf der Basis von metrischen Messgrößen und/oder nichtmetrischen Experten-Bewertungen. Die Beschreibung der Unschärfe von Daten, Zuständen und Strukturen wird hierbei durch einen einheitlichen Typ einer Zugehörigkeitsfunktion des Potentialtyps realisiert
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Soufian, Majeed. "Hard and soft computing techniques for non-linear modeling and control with industrial applications." Thesis, Manchester Metropolitan University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273053.

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Kong, Kou A. "Fuzzy logic PD control of a non-linear inverted flexible pendulum." [Chico, Calif. : California State University, Chico], 2009. http://hdl.handle.net/10211.4/90.

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Windhager, Lukas. "Modeling of dynamic systems with Petri nets and fuzzy logic." Diss., Ludwig-Maximilians-Universität München, 2013. http://nbn-resolving.de/urn:nbn:de:bvb:19-156555.

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Aktuelle Methoden zur dynamischen Modellierung von biologischen Systemen sind für Benutzer ohne mathematische Ausbildung oft wenig verständlich. Des Weiteren fehlen sehr oft genaue Daten und detailliertes Wissen über Konzentrationen, Reaktionskinetiken oder regulatorische Effekte. Daher erfordert eine computergestützte Modellierung eines biologischen Systems, mit Unsicherheiten und grober Information umzugehen, die durch qualitatives Wissen und natürlichsprachliche Beschreibungen zur Verfügung gestellt wird. Der Autor schlägt einen neuen Ansatz vor, mit dem solche Beschränkungen überwunden
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Mai, Ngoc Anh, and Klaus Janschek. "Bio-inspired Optical Flow Interpretation with Fuzzy Logic for Behavior-Based Robot Control." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-26252.

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This paper presents a bio-inspired approach for optical flow data interpretation based on fuzzy inference decision making for visual mobile robot navigation. The interpretation results of regionally averaged optical flow patterns with pyramid segmentation of the optical flow field deliver fuzzy topological and topographic information of the surrounding environment (topological structure from motion). It allows a topological localization in a global map as well as controlled locomotion (obstacle avoidance, goal seeking) in a changing and dynamic environment. The topological optical flow process
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Gemming, Heiko. "Prozesssicherheit in der Formstoffaufbereitung mit Hilfe der Fuzzy-Logik." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola&quot, 2009. http://nbn-resolving.de/urn:nbn:de:swb:105-6110765.

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Es wurde ein System zur Regelung der Formstoffqualität entwickelt und im Praxisbetrieb erprobt. Die Regelung der Wasserzugabe am Mischer erfolgt dabei anhand der Verdichtbarkeit des Altsands. Zur Online-Messung der Verdichtbarkeit wurde ein automatisch arbeitendes Messgerät entwickelt, aus dessen Messwerten mit Hilfe eines Fuzzy-Reglers die notwendige Wasserzugabe bestimmt wird. Zur Steuerung der Aktivbentonit- bzw. Glanzkohlenstoffbildnerkonzentration wird eine Kombination verschiedener Regelstrategien benutzt. Dabei werden durch eine präventive Formstoffsteuerung die notwendigen Zugabemengen
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Books on the topic "Fuzzy NPN logic"

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Höhle, Ulrich, and Erich Peter Klement, eds. Non-Classical Logics and their Applications to Fuzzy Subsets. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0215-5.

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Ulrich, Höhle, Klement E. P, and Linz Seminar on Fuzzy Set Theory (14th : 1992 :, eds. Non-classical logics and their applications to fuzzy subsets: A handbook of the mathematical foundations of fuzzy set theory. Kluwr Academic Publishers, 1995.

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Höhle, Ulrich. Non-Classical Logics and their Applications to Fuzzy Subsets: A Handbook Of The Mathematical Foundations Of Fuzzy Set Theory. Ingramcontent, 2012.

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Höhle, Ulrich, and Erich Peter Klement. Non-Classical Logics and Their Applications to Fuzzy Subsets: A Handbook of the Mathematical Foundations of Fuzzy Set Theory. Springer, 2012.

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(Editor), Ulrich Hohle, and E. P. Klement (Editor), eds. Non-Classical Logics and their Applications to Fuzzy Subsets: A Handbook of the Mathematical Foundations of Fuzzy Set Theory (Theory and Decision Library B:). Springer, 1995.

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Simons, Peter. Modality and Degrees of Truth. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198786436.003.0008.

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This chapter explores a third way in construing modality—rejecting both linguistic accounts and the polycosmism of possible world theory—in the work of Alexis Meinong and Jan Łukasiewicz. Some of Meinong’s non-existent objects are incomplete, so in 1915 he accounts for objective probability (he says possibility) with an idea of degrees of truth: the proposition ‘My draw of a card from the pack tomorrow will be a king’ is neither simply wholly true nor wholly false, regardless of the draw I will actually make tomorrow, but has a degree of truth corresponding to the proportion of kings in a pack
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Book chapters on the topic "Fuzzy NPN logic"

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Hubble, Adam, Jack Moorin, and Arjab Singh Khuman. "Artificial Intelligence in FPS Games: NPC Difficulty Effects on Gameplay." In Fuzzy Logic. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66474-9_11.

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Castillo, Oscar, and Patricia Melin. "Fuzzy Logic." In Soft Computing for Control of Non-Linear Dynamical Systems. Physica-Verlag HD, 2001. http://dx.doi.org/10.1007/978-3-7908-1832-1_2.

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Trillas, Enric. "Non Contradiction, Excluded Middle, and Fuzzy Sets." In Fuzzy Logic and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02282-1_1.

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Chávez Pullas, María Alexandra, María Alejandra Zuñiga Alvarado, and Miguel Paúl Herrera Estrella. "Fuzzy Logic in Non-current Assets." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87065-1_4.

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Abstract According to International Financial Reporting Standards, there can be two non-current asset valuations: The cost model and the fair value model. In this aspect, it is essential to find the causes of the large companies in Ecuador in the accounting policy choice about the non-current assets´ subsequent valuation. In the present investigation, fuzzy logic shows the causality of the model selection. Through the linear regression of fuzzy logic, this investigative work demonstrates that the decisions of the administrations of large companies in Ecuador are based on financial benefits. In
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Wyler, O. "Fuzzy logic and categories of fuzzy sets." In Non-Classical Logics and their Applications to Fuzzy Subsets. Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0215-5_10.

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Galluzzo, Mosé, and Bartolomeo Cosenza. "Control of a Non-isothermal CSTR by Type-2 Fuzzy Logic Controllers." In Fuzzy Logic and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02282-1_37.

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Fodor, János C., and Tibor Keresztfalvi. "Non-conventional conjunctions and implications in fuzzy logic." In Fuzzy Logic in Artificial Intelligence. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56920-0_4.

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Abdullatif, A., F. Masulli, S. Rovetta, and A. Cabri. "Graded Possibilistic Clustering of Non-stationary Data Streams." In Fuzzy Logic and Soft Computing Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52962-2_12.

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Barzanti, Luca, Silvio Giove, and Alessandro Pezzi. "A Decision Support System for Non Profit Organizations." In Fuzzy Logic and Soft Computing Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52962-2_24.

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Chakravortty, Somdatta. "Fuzzy Logic-Based Non-Linear Spectral Unmixing." In Non-Linear Spectral Unmixing of Hyperspectral Data. CRC Press, 2024. http://dx.doi.org/10.1201/9781003432623-7.

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Conference papers on the topic "Fuzzy NPN logic"

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Sturrock, C. P., and W. F. Bogaerts. "Computer Learning Systems in Corrosion." In CORROSION 1996. NACE International, 1996. https://doi.org/10.5006/c1996-96657.

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Abstract A collection of data documenting the stress corrosion cracking (SCC) behavior of austenitic stainless steels provides the basis for an automated learning system. Computer learning systems based on classical and non-parametric statistics, connectionist models, machine learning methods, and fuzzy logic are described. An original method for inducing fuzzy rules from input-output data is presented. All of these computer learning systems are used to solve a typical problem of corrosion engineering: determine the likelihood of SCC of austenitic stainless steels given varying conditions of t
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Wild, Paul, Lutz Schröder, Dirk Pattinson, and Barbara König. "A Modal Characterization Theorem for a Probabilistic Fuzzy Description Logic." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/263.

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The fuzzy modality probably is interpreted over probabilistic type spaces by taking expected truth values. The arising probabilistic fuzzy description logic is invariant under probabilistic bisimilarity; more informatively, it is non-expansive wrt. a suitable notion of behavioural distance. In the present paper, we provide a characterization of the expressive power of this logic based on this observation: We prove a probabilistic analogue of the classical van Benthem theorem, which states that modal logic is precisely the bisimulation-invariant fragment of first-order logic. Specifically, we s
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Guest, Clark C. "Optical fuzzy logic processor." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.fdd7.

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Fuzzy logic provides a means of working with qualitative data and rules. Like neural networks, fuzzy logic provides a mapping from a space of input variables to a space of output variables. Unlike neural networks, fuzzy logic provides a direct means of incorporating human expertise. For a given problem, the computational requirements for a fuzzy logic solution are often significantly less than those required by a neural network solution. However, fuzzy logic implementations are faced with a need for global communication in the distribution and collection of data. An optical processing architec
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Wagner, Christian, Amir Pourabdollah, Josie McCulloch, Robert John, and Jonathan M. Garibaldi. "A similarity-based inference engine for non-singleton fuzzy logic systems." In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2016. http://dx.doi.org/10.1109/fuzz-ieee.2016.7737703.

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Simon, Andra´s, and George T. Flowers. "Disturbance Attenuation Using Non-Singleton Fuzzy Logic." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84433.

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Magnetic bearings are an exciting and innovative technology that has seen considerable advances in recent years. Such systems require active control, and most often, linear techniques are used very successfully. However, there are applications where such methods have limited effectiveness and other control strategies must be considered. Fuzzy logic control performs very well in nonlinear control situations where the plant parameters are either partially or mostly unidentified. Its effectiveness for nonlinear systems also offers advantages to magnetic bearing systems. Little research has been d
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Fu, Changhong, Andriy Sarabakha, Erdal Kayacan, Christian Wagner, Robert John, and Jonathan M. Garibaldi. "Similarity-based non-singleton fuzzy logic control for improved performance in UAVs." In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2017. http://dx.doi.org/10.1109/fuzz-ieee.2017.8015440.

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Pekaslan, Direnc, Jonathan M. Garibaldi, and Christian Wagner. "Exploring Subsethood to Determine Firing Strength in Non-Singleton Fuzzy Logic Systems." In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2018. http://dx.doi.org/10.1109/fuzz-ieee.2018.8491614.

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Chen, Chao, Yu Zhao, Christian Wagner, Direnc Pekaslan, and Jonathan M. Garibaldi. "An Extension of the FuzzyR Toolbox for Non-Singleton Fuzzy Logic Systems." In 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2021. http://dx.doi.org/10.1109/fuzz45933.2021.9494472.

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Pourabdollah, Amir, Christian Wagner, and Jabran Aladi. "Changes under the hood - a new type of non-singleton fuzzy logic system." In 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2015. http://dx.doi.org/10.1109/fuzz-ieee.2015.7338006.

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Khurpade, Jayant B., Sukhdeep S. Dhami, and Sukhwant S. Banwait. "A Review of Fuzzy Logic Based Control of Robotic Manipulators." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64527.

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Robotic manipulators are complex mechanisms due to which their kinematics and dynamics are nonlinear in nature and computationally intensive. Fuzzy logic based approach provides an alternative for modeling and control of non-linear systems and hence has been extensively applied in the field of robotics. This paper presents a review of fuzzy logic based techniques for modeling and control of robotic manipulators. The survey is reported in terms of objectives, types of robotic manipulators, types and structures of fuzzy systems employed. A summary of quantitative results is presented as performa
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Reports on the topic "Fuzzy NPN logic"

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Matthews, Lisa, Guanming Wu, Robin Haw, et al. Illuminating Dark Proteins using Reactome Pathways. Reactome, 2022. http://dx.doi.org/10.3180/poster/20221027matthews.

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Diseases are often the consequence of proteins or protein complexes that are non-functional or that function improperly. An active area of research has focused on the identification of molecules that can interact with defective proteins and restore their function. While 22% percent of human proteins are estimated to be druggable, less than fifteen percent are targeted by FDA-approved drugs, and the vast majority of untargeted proteins are understudied or so-called "dark" proteins. Elucidation of the function of these dark proteins, particularly those in commonly drug-targeted protein families,
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Paule, Bernard, Flourentzos Flourentzou, Tristan de KERCHOVE d’EXAERDE, Julien BOUTILLIER, and Nicolo Ferrari. PRELUDE Roadmap for Building Renovation: set of rules for renovation actions to optimize building energy performance. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541614638.

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Abstract:
In the context of climate change and the environmental and energy constraints we face, it is essential to develop methods to encourage the implementation of efficient solutions for building renovation. One of the objectives of the European PRELUDE project [1] is to develop a "Building Renovation Roadmap"(BRR) aimed at facilitating decision-making to foster the most efficient refurbishment actions, the implementation of innovative solutions and the promotion of renewable energy sources in the renovation process of existing buildings. In this context, Estia is working on the development of infer
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