Relevant bibliographies by topics / Fuzzy -Ext generic set

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  1. Journal articles
  2. Dissertations / Theses
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  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Fuzzy -Ext generic set'

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

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Journal articles on the topic "Fuzzy -Ext generic set"

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B., Amudhambigai, and Madhuri V. "A STUDY ON FUZZY ALPHA - Ext SOBER SPACES." International Journal of Scientific Research and Modern Education 2, no. 2 (2017): 56–62. https://doi.org/10.5281/zenodo.1028261.

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In this paper, the new concept of Fuzzy <strong> </strong>-Exterior Sober Space (briefly, F -Ext Sober Space) is introduced. Two extension theorems for Fuzzy <strong> </strong>-Ext Sober Space are studied using fuzzy quasi-homeomorphism. In this connection, some equivalent statements for fuzzy <strong> </strong>-Ext Sober Spaces are also established.
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Quinn, Terrance J., and Jeremy S. Collie. "Sustainability in single–species population models." Philosophical Transactions of the Royal Society B: Biological Sciences 360, no. 1453 (2005): 147–62. http://dx.doi.org/10.1098/rstb.2004.1577.

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In this paper, we review the concept of sustainability with regard to a single–species, age–structured fish population with density dependence at some stage of its life history. We trace the development of the view of sustainability through four periods. The classical view of sustainability, prevalent in the 1970s and earlier, developed from deterministic production models, in which equilibrium abundance or biomass is derived as a function of fishing mortality. When there is no fishing mortality, the population equilibrates about its carrying capacity. We show that carrying capacity is the res
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Bouacha, Ismail, and Safia Bekhouche. "A Generic Fuzzy-Based Recommendation Approach (GFBRA)." International Journal of Fuzzy System Applications 11, no. 1 (2022): 1–29. http://dx.doi.org/10.4018/ijfsa.292461.

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Recommender Systems aim to automatically provide users with personalized information in an overloaded search space. To dual with vagueness and imprecision problems in RS, several researches have been proposed fuzzy based approaches. Even though, these works have incorporated experimental evaluation; they were used in different recommendation scenarios which makes it difficult to have a fair comparison between them. Also, some of them performed an items and/or users clustering before generating recommendations. For this reason they need additional information such as item attributes or trust be
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Kopyrin, Andrey Sergeevich, and Alina Olegovna Kopyrina. "Development of the generic system of inference rules by knowledgebase." Программные системы и вычислительные методы, no. 1 (January 2021): 1–9. http://dx.doi.org/10.7256/2454-0714.2021.1.34798.

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The authors propose to align logical inference with the apparatus of fuzzy sets. When each solution is associated with a set of possible results with the known transitional probabilities, the solution is based on the digital information under uncertainty. Therefore, the main purpose of using fuzzy logic in expert systems consists in creation of computing devices (or software applications) that can imitate human-level reasoning and explain the techniques of decision-making. The goal of this research consists in detailed description of the reproducible standard method of setting rules of inferen
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Liu, Feng, Chai Quek, and Geok See Ng. "A Novel Generic Hebbian Ordering-Based Fuzzy Rule Base Reduction Approach to Mamdani Neuro-Fuzzy System." Neural Computation 19, no. 6 (2007): 1656–80. http://dx.doi.org/10.1162/neco.2007.19.6.1656.

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There are two important issues in neuro-fuzzy modeling: (1) interpretability—the ability to describe the behavior of the system in an interpretable way—and (2) accuracy—the ability to approximate the outcome of the system accurately. As these two objectives usually exert contradictory requirements on the neuro-fuzzy model, certain compromise has to be undertaken. This letter proposes a novel rule reduction algorithm, namely, Hebb rule reduction, and an iterative tuning process to balance interpretability and accuracy. The Hebb rule reduction algorithm uses Hebbian ordering, which represents th
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Shakhatreh, M. A., and A. M. Al-Shorman. "Some properties of integration of real-valued function over a fuzzy interval." International Journal of ADVANCED AND APPLIED SCIENCES 8, no. 12 (2021): 9–13. http://dx.doi.org/10.21833/ijaas.2021.12.002.

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One of the most fundamental concepts in fuzzy set theory is the extension principle. It gives a generic way of dealing with fuzzy quantities by extending non-fuzzy mathematical concepts. There are a few examples, including the concept of fuzzy distance between fuzzy sets. The extension approach is then methodically applied to real algebra, with considerable development of fuzzy number operations. These operations are computationally appealing and generalized interval analysis. Although the set of real fuzzy numbers with extended addition or multiplication is no longer a group, it retains many
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Prasad, Rajan, and Praveen Kumar Shukla. "Indeterminacy Handling of Adaptive Neuro-fuzzy Inference System Using Neutrosophic Set Theory: A Case Study for the Classification of Diabetes Mellitus." International Journal of Intelligent Systems and Applications 15, no. 3 (2023): 1–15. http://dx.doi.org/10.5815/ijisa.2023.03.01.

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Early diabetes diagnosis allows patients to begin treatment on time, reducing or eliminating the risk of serious consequences. In this paper, we propose the Neutrosophic-Adaptive Neuro-Fuzzy Inference System (N-ANFIS) for the classification of diabetes. It is an extension of the generic ANFIS model. Neutrosophic logic is capable of handling the uncertain and imprecise information of the traditional fuzzy set. The suggested method begins with the conversion of crisp values to neutrosophic sets using a trapezoidal and triangular neutrosophic membership function. These values are fed into an infe
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Dhanya, V., M. Selvarathi та M. Ambika. "⃗ȷρ Neutrosophic F Subgroup Over a Finite Group". International Journal of Neutrosophic Science 23, № 1 (2024): 146–54. http://dx.doi.org/10.54216/ijns.230113.

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Neutrosophic set has been developed as a mathematical method for procuring indeterminate and incomplete information. Neutrosophic fuzzy set is a powerful generic system that has been recently developed. In several areas, including data and information analysis, data science, information and decision, have successfully applied neutrosophic concept. Not just that but also the important problems we experience in variety of fields, such as computing, life science, social development, and technical work are represented by neutrosophic fuzzy sets. In this paper, we have presented the idea of an impl
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Bidin, Mohd Syafiq, Abd Fatah Wahab, Mohammad Izat Emir Zulkifly, and Rozaimi Zakaria. "Generalized Fuzzy Linguistic Bicubic B-Spline Surface Model for Uncertain Fuzzy Linguistic Data." Symmetry 14, no. 11 (2022): 2267. http://dx.doi.org/10.3390/sym14112267.

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A fuzzy linguistic data set that is uncertain is difficult to analyze and describe in the form of a smooth and continuous generic figure. Therefore, the study aims to develop a new model of a B-spline surface using a different approach of a crisp and fuzzy linguistic point relation with three types of linguistic function: low L, medium Mi and high H. These linguistic functions are defined first to introduce the fuzzy linguistic point relation. Then, a new algorithm of the fuzzy linguistic bicubic B-spline surface model is presented to convert fuzzy linguistic data into fuzzy linguistic control
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Tóth, Zsófia, Stephan C. Henneberg, and Peter Naudé. "Addressing the ‘Qualitative’ in fuzzy set Qualitative Comparative Analysis: The Generic Membership Evaluation Template." Industrial Marketing Management 63 (May 2017): 192–204. http://dx.doi.org/10.1016/j.indmarman.2016.10.008.

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Dissertations / Theses on the topic "Fuzzy -Ext generic set"

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Pussayanavin, Sirus. "Complementarity between generic organizational configuration and functional capabilities in the explanation of performance : a fuzzy set analysis of the Thai non-life insurance industry." Thesis, University of Warwick, 2013. http://wrap.warwick.ac.uk/63501/.

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In this thesis, I propose that consistency between a business unit’s generic organizational configuration (GOC) and a firm’s functional capability (FC) provides a better explanation of corresponding performance dimension across business units than either factor on its own. I investigate five types of GOC based on a combination of Miles and Snow’s (1978) and Porter’s (1980) typologies, which I map onto four different FCs (DeSarbo et al., 2005) and four different intermediate outcomes. Traditionally, quantitative analysis better matches GOC and qualitative analysis is more suitable for FC (Hoski
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Books on the topic "Fuzzy -Ext generic set"

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Belohlavek, Radim, Joseph W. Dauben, and George J. Klir. Fuzzy Logic and Mathematics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190200015.001.0001.

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The term “fuzzy logic” (FL) is a generic one, which stands for a broad variety of logical systems. Their common ground is the rejection of the most fundamental principle of classical logic—the principle of bivalence—according to which each declarative sentence has exactly two possible truth values—true and false. Each logical system subsumed under FL allows for additional, intermediary truth values, which are interpreted as degrees of truth. These systems are distinguished from one another by the set of truth degrees employed, its algebraic structure, truth functions chosen for logical connect
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Rihoux, Benoît. Case‐Oriented Configura‐Tional Research: Qualitative Comparative Analysis (Qca), Fuzzy Sets, and Related Techniques. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0031.

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This article investigates the tradition of case-oriented configurational research, focusing specifically on qualitative comparative analysis (QCA) as a tool for causal inference. It first presents two analytic procedures commonly used by comparative researchers. A short description of the state-of-the-art of QCA applications is offered, in terms of discipline, types of cases, models, combinations with other methods, and software development. It then reviews different uses of QCA, as well as generic ‘best practices’. Some key recent evolutions are illustrated: on the one hand the development, b
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Book chapters on the topic "Fuzzy -Ext generic set"

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Cross, Valerie V., and Thomas A. Sudkamp. "Generic Classification Domain." In Similarity and Compatibility in Fuzzy Set Theory. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1793-5_11.

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Kutsia, Temur, and Cleo Pau. "A Framework for Approximate Generalization in Quantitative Theories." In Automated Reasoning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10769-6_34.

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AbstractAnti-unification aims at computing generalizations for given terms, retaining their common structure and abstracting differences by variables. We study quantitative anti-unification where the notion of the common structure is relaxed into “proximal” up to the given degree with respect to the given fuzzy proximity relation. Proximal symbols may have different names and arities. We develop a generic set of rules for computing minimal complete sets of approximate generalizations and study their properties. Depending on the characterizations of proximities between symbols and the desired f
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Yan, Li, and Z. M. Ma. "Modeling and Querying Fuzzy Data." In Intelligent Systems. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5643-5.ch100.

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Imperfect information extensively exists in data and knowledge intensive applications, where fuzzy data play an import role in nature. Fuzzy set theory has been extensively applied to extend various database models and resulted in numerous contributions. The chapter concentrates on two main issues in fuzzy data management: fuzzy data models and fuzzy data querying based on the fuzzy data models. A full up-to-date overview of the current state of the art in fuzzy data modeling and querying is provided in the chapter. In addition, the relationships among various fuzzy data models are discussed i
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Virivinti, Nagajyothi, and Kishalay Mitra. "Handling Optimization Under Uncertainty Using Intuitionistic Fuzzy-Logic-Based Expected Value Model." In Handbook of Research on Emergent Applications of Optimization Algorithms. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2990-3.ch032.

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Uncertainty in parameters during deterministic optimization studies can have large impact on the outcome of the optimization result. It is pragmatic that these parameters are uncertain as they have direct link with real life scenarios, e.g. fuel price appearing as a parameter in objective function or constraints. However, their variability is ignored while solving the problem in a deterministic optimization framework. While mitigating the above mentioned scenario, it is, therefore, necessary to investigate the development of uncertainty handling techniques for a realistic optimization problem.
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Babeshko, Ievgen, Vyacheslav Duzhiy, Oleg Illiashenko, et al. "Diversity for NPP I&C Systems Safety and Cyber Security." In Cyber Security and Safety of Nuclear Power Plant Instrumentation and Control Systems. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3277-5.ch010.

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This chapter presents a cost-effective approach to selection of the most diverse NPP Reactor Trip System (RTS) under uncertainty. The selection of a pair of primary and secondary RTS is named a diversity strategy. All possible strategies are evaluated on an ordinal scale with linguistic values provided by experts. These values express the expert's degree of confidence that evaluated variants of secondary RTS are different from primary RTS. All diversity strategies are evaluated on a set of linguistic diversity criteria, which are included in a corresponding diversity attribute. The generic fuz
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Badhe, Vivek, Satpal Singh, and Terrence Shebuel Arvind. "Ideating a Recommender System for Business Growth Using Profit Pattern Mining and Uncertainty Theory." In Advances in Business Information Systems and Analytics. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-4999-4.ch013.

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Association rule mining (ARM) alone is a classical yet powerful method for basic rule discovery. However, generic measures being used are insufficient for specific pattern generation and rules of business interest. Critical decision making is a “key” component in contemporary businesses which could be rewarded by periodically utilizing patterns and rules to steer business growth and profit as well. To effectuate self-propelled growth in businesses, a feasible optimal recommender system needs to be accomplished without human intervention that recommends targeted product marketing and promotiona
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Braidotti Luca, Prpić-Oršić Jasna, Valčić Marko, Trincas Giorgio, and Bucci Vittorio. "Fuzzy Analytical Hierarchical Process to Assess Weights of Importance in Ship Operation Risk Assessment." In Technology and Science for the Ships of the Future. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-870-9-88.

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The evaluation of the safety state of the ship in a generic operative or emergency condition is a very complex issue due to the huge number of attributes involved in the problem, uncertainties of their values and assessment of their mutual importance. The safety of the ship shall be presented in a simple and immediate manner in order to provide a useful decision support to onboard personnel. That is why a hierarchical risk assessment procedure has been developed selecting a set of attributes which are grouped in criteria and sub-criteria. The attributes are fuzzified and combined in order to o
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Gamoura, Samia Chehbi. "A Cloud-Based Approach for Cross-Management of Disaster Plans." In Critical Research on Scalability and Security Issues in Virtual Cloud Environments. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3029-9.ch012.

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With the democratization of Data management through Big Data and Cloud Computing, and the proliferation of business lines into complex networks, industries are ever more subject to disasters than ever. It is practically impossible to forecast their happening and degree of damages. Consequently, companies try to collaborate in integrating risk management in their information systems against downtimes. This chapter addresses this problem by outlining and discussing insights from the extensive literature review to produce a generic approach for cross-management. A set of prerequisites of disaster
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Gamoura, Samia Chehbi. "A Cloud-Based Approach for Cross-Management of Disaster Plans." In Emergency and Disaster Management. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-6195-8.ch040.

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With the democratization of Data management through Big Data and Cloud Computing, and the proliferation of business lines into complex networks, industries are ever more subject to disasters than ever. It is practically impossible to forecast their happening and degree of damages. Consequently, companies try to collaborate in integrating risk management in their information systems against downtimes. This chapter addresses this problem by outlining and discussing insights from the extensive literature review to produce a generic approach for cross-management. A set of prerequisites of disaster
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Tsatsou, Dorothea, Symeon Papadopoulos, Ioannis Kompatsiaris, and Paul C. Davis. "Distributed Technologies for Personalized Advertisement Delivery." In Advances in Multimedia and Interactive Technologies. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-189-8.ch013.

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This chapter provides an overview on personalized advertisement delivery paradigms on the web with a focus on the recommendation of advertisements expressed in or accompanied by text. Different methods of online targeted advertising will be examined, while justifying the need for channeling the appropriate ads to the corresponding users. The aim of the work presented here is to illustrate how the semantic representation of ads and user preferences can achieve optimal and unobtrusive ad delivery. We propose a set of distributed technologies that efficiently handles the lack of textual data in a
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Conference papers on the topic "Fuzzy -Ext generic set"

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Zhou, Jiao, Xingyu Peng, and Dongchi Yao. "Quantitative Risk Assessment Techniques Based on Uncertainty Theory for Natural Gas Distribution Station." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78260.

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Pipeline stations, as an important part of long-distance pipeline systems, include lots of facilities which are highly concentrated and always operate continuously. Risk assessment is an important foundation work for the risk management of these stations. Since various uncertainties exist during the quantitative risk assessment (QRA), this paper explores the theories and approaches of QRA for station accidents, and also introduces some specific mathematical theories for quantification and dealing with uncertainties. This paper combines uncertainty theory effectively with the QRA for gas distri
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Segapeli, Jean-Luc, and Annie Cavarero. "An Artificial Intelligence Based Algorithm for Object-Oriented Design." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dac-1429.

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Abstract It is possible to classify the Object-Oriented design methods in two sets. The first set, which is the most numerous, uses an entity relationship approach to build a static class schema. Then this schema is completed by the use of different models (dynamic, functional). The second set tries to obtain a class schema but they don’t provide a guide to build it. So if different designers work on the same application, it is impossible to obtain the same schema. So, in this paper we want to prove that we have defined a new design process (generalization process) which is based upon a set of
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