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

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

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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Wang, Gao Ping, and Wei Wei Zhao. "A Fuzzy-Dominance-Driven RMLS-BLGA and its Application in Traffic Route Guidance." Applied Mechanics and Materials 209-211 (October 2012): 755–58. http://dx.doi.org/10.4028/www.scientific.net/amm.209-211.755.

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In this paper , we study the fuzzification of the pareto dominance relation and its application in traffic route guidance. A generic ranking scheme is presented that assigns dominance degrees to any set of vectors in a scale-independent, nonsymmetric and set-dependent manner. Different fuzzy-based definitions of optimality and dominated solution are introduced. The corresponding extension of the RMLS-BLGA, so-called Fuzzy-Dominance-Driven RMLS-BLGA (FRMLS-BLGA), will be presented as well. To verify the usefulness of such an approach, the approach is tested on analytical test cases in order to

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Martínez-Jiménez, Pedro Manuel, Jesús Chamorro-Martínez, and James M. Keller. "Adaptive Multidimensional Fuzzy Sets for Texture Modeling." International Journal of Approximate Reasoning 103 (December 5, 2018): 288–302. https://doi.org/10.5281/zenodo.10575356.

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The modeling of the perceptual properties of texture plays a fundamental role in tasks where some interaction with subjects is needed. In order to face the imprecision related to these properties, fuzzy sets defined on the domain of computational measures of the corresponding property are usually employed. In this sense, the most interesting approaches show that the combination of different measures as reference sets improve the texture characterization. However, the main drawback of these proposals is that they do not take into account the subjectivity associated with human perception. For ex

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Tao, Xiaofeng, Fangmin Xu, Waheed ur Rehman, Yingyue Xu, and Xiaona Li. "A Generic Mathematical Model Based on Fuzzy Set Theory for Frequency Reuse in Cellular Networks." IEEE Journal on Selected Areas in Communications 31, no. 5 (2013): 861–69. http://dx.doi.org/10.1109/jsac.2013.130505.

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Sakr, Hanan H., Salem A. Alyami, and Mohamed A. Abd Elgawad. "Medical Diagnosis under Effective Bipolar-Valued Multi-Fuzzy Soft Settings." Mathematics 11, no. 17 (2023): 3747. http://dx.doi.org/10.3390/math11173747.

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The Molodtsov-initiated soft set theory plays an important role as a powerful mathematical tool for handling uncertainty. As an extension of the soft set, the fuzzy soft set can be seen to be more generic and flexible than utilizing the soft set only that fails to represent problem parameters fuzziness. Through this progress, the fuzzy soft set theory cannot deal with decision-making problems involving multi-attribute sets, bipolarity, or some effective considered parameters. Therefore, the goal of this article is to adapt effectiveness and bipolarity concepts with the multi-fuzzy soft set of

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Etheredge, Marlon, Ricardo Lopes, and Rafael Bidarra. "A Generic Method for Classification of Player Behavior." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 9, no. 3 (2021): 2–8. http://dx.doi.org/10.1609/aiide.v9i3.12593.

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Player classification allows for considerable improvements on both game analytics and game adaptivity. With this paper we aim at reversing the ad-hoc tendency in player classification methods, by proposing an approach to player classification that can be integrated across different games and genres and is particularly suited to be used by game designers. This paper describes our generic method of interaction-based player classification, which consists of three components: (i) intercepting player interactions, (ii) finding player types through fuzzy cluster analysis and (iii) classification usi

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ZACHARIAS, OTHONAS, ELENI PANOU, D. TH ASKOUNIS, and AIKATERINI VASSILIKOPOULOU. "PROJECT RISK RANKING IN LARGE-SCALE PROGRAMS: A FUZZY SET BASED APPROACH." Asia-Pacific Journal of Operational Research 31, no. 03 (2014): 1450020. http://dx.doi.org/10.1142/s0217595914500201.

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As most of the global economic activity takes place in the form of projects/programs, their effective management and governance is becoming more and more critical to the competitive position of organizations and societies. Project auditing and risk management, elaborate on methodologies that could be used for analyzing project progress, by identifying potential risks and liabilities, and finally recommending corrective and preventive actions. In relation to these fields, this paper proposes a fuzzy set based approach for project risk ranking in large-scale programs. The proposed approach defin

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TODOROV, KONSTANTIN, CELINE HUDELOT, ADRIAN POPESCU, and PETER GEIBEL. "FUZZY ONTOLOGY ALIGNMENT USING BACKGROUND KNOWLEDGE." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 22, no. 01 (2014): 75–112. http://dx.doi.org/10.1142/s0218488514500044.

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We propose an ontology alignment framework with two core features: the use of background knowledge and the ability to handle vagueness in the matching process and the resulting concept alignments. The procedure is based on the use of a generic reference vocabulary, which is used for fuzzifying the ontologies to be matched. The choice of this vocabulary is problem-dependent in general, although Wikipedia represents a general-purpose source of knowledge that can be used in many cases, and even allows cross language matchings. In the first step of our approach, each domain concept is represented

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Dixit, Anuj, Srikanta Routroy, and Sunil Kumar Dubey. "Analysis of government-supported health-care supply chain enablers: a case study." Journal of Global Operations and Strategic Sourcing 13, no. 1 (2019): 1–16. http://dx.doi.org/10.1108/jgoss-02-2019-0011.

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Purpose The purpose of this paper is to identify, analyze and classify (i.e. driving and dependence power) the government-supported health-care supply chain enablers (GHSCEs) in rural areas of India for enhancing availability and minimizing wastage of generic medicines. Design/methodology/approach A methodology is proposed using interpretive structural modeling (ISM) – fuzzy matriced impacts croises multiplication appliqueeaun classement (Fuzzy MICMAC) analysis to analyze the GHSCEs on the basis of inputs collected from various stakeholders about their driving and dependence power. Findings Th

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Mo, Zhenchong, Lin Gong, Mingren Zhu, and Junde Lan. "The Generative Generic-Field Design Method Based on Design Cognition and Knowledge Reasoning." Sustainability 16, no. 22 (2024): 9841. http://dx.doi.org/10.3390/su16229841.

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Large language model (LLM) and Crowd Intelligent Innovation (CII) are reshaping the field of engineering design and becoming a new design context. Generative generic-field design can solve more general design problems innovatively by integrating multi-domain design knowledge. However, there is a lack of knowledge representation and design process model in line with the design cognition of the new context. It is urgent to develop generative generic-field design methods to improve the feasibility, innovation, and empathy of design results. This study proposes a method based on design cognition a

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Ong, S. K., and A. Y. C. Nee. "A Systematic Approach for Analyzing the Fixturability of Parts for Machining." Journal of Manufacturing Science and Engineering 120, no. 2 (1998): 401–8. http://dx.doi.org/10.1115/1.2830140.

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Design for manufacturability (DFM) is a growing concern in the academia as well as the industry. However, an evaluation of the manufacturability of the features on a part is incomplete without considering the work-holding requirements of and the pre-processes that have been performed on the part (i.e., the initial state of the part before machining could be a casting or a prismatic block). A feature on a part, which has been evaluated to be manufacturable in its own right, might not be achievable when it is being machined together with other features in a set-up, if the part cannot be properly

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Twiddle, J. A., and N. B. Jones. "Fuzzy model-based condition monitoring and fault diagnosis of a diesel engine cooling system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 216, no. 3 (2002): 215–24. http://dx.doi.org/10.1177/095965180221600301.

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This paper describes a fuzzy model-based diagnostic system and its application to the cooling system of a diesel engine. The aim is to develop generic cost-effective knowledge-based techniques for condition monitoring and fault diagnosis of engine systems. A number of fuzzy systems have been developed to model the cooling system components. Residuals are generated on line by comparison of measured data with model outputs. The residuals are then analysed on line and classified into a number of fuzzy classes symptomatic of potential system conditions. A fuzzy rule-based system is designed to inf

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Mahdaoui, Rafik, Leila Hayet Mouss, Amar Haboussi, Ouahiba Chouhal, Hichem Haouassi, and Toufik Messoud Maarouk. "A Temporal Neuro-Fuzzy System for Estimating Remaining Useful Life in Preheater Cement Cyclones." International Journal of Reliability, Quality and Safety Engineering 26, no. 03 (2019): 1950012. http://dx.doi.org/10.1142/s0218539319500128.

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Fault prognosis in industrial plants is a complex problem, and time is an important factor for the resolution of this problem. The main indicator for the task of fault prognosis is the estimate of remaining useful life (RUL), which essentially depends on the predicted time to failure. This paper introduces a temporal neuro-fuzzy system (TNFS) for performing the fault prognosis task and exactly estimating the RUL of preheater cyclones in a cement plant. The main component of the TNFS is a set of temporal fuzzy rules that have been chosen for their ability to explain the behavior of the entire s

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Dizman, Tugbahan, Alexander Sostak, and Saziye Yuksel. "Soft ditopological spaces." Filomat 30, no. 1 (2016): 209–22. http://dx.doi.org/10.2298/fil1601209d.

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We introduce the concept of a soft ditopological space as the "soft Generalization" of the concept of a ditopological space as it is defined in the papers by L.M. Brown and co-authors, see e.g. L. M. Brown, R. Ert?rk, ?. Dost, Ditopological texture spaces and fuzzy topology, I. Basic Concepts, Fuzzy Sets and Systems 147 (2) (2004), 171-199. Actually a soft ditopological space is a soft set with two independent structures on it - a soft topology and a soft co-topology. The first one is used to describe openness-type properties of a space while the second one deals with its closedness-type prope

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CHEN, QINGCAI, XIAOLONG WANG, PENGFEI SU, and YI YAO. "AUTO ADAPTED ENGLISH PRONUNCIATION EVALUATION: A FUZZY INTEGRAL APPROACH." International Journal of Pattern Recognition and Artificial Intelligence 22, no. 01 (2008): 153–68. http://dx.doi.org/10.1142/s0218001408006090.

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To evaluate the pronunciation skills of spoken English is one of the key tasks for computer-aided spoken language learning (CALL). While most of the researchers focus on improving the speech recognition techniques to build a reliable evaluation system, another important aspect of this task has been ignored, i.e. the pronunciation evaluation model that integrates both the reliabilities of existing speech processing systems and the learner's pronunciation personalities. To take this aspect into consideration, a Sugeno integral-based evaluation model is introduced in this paper. At first, the Eng

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Sinan, Karadeniz, and Ulu Cenk. "Linguistic Hedge Based Constrained Representation of Interval Type-2 Fuzzy Sets." International Journal of Applied Engineering and Technology 4, no. 3 (2022): 11–19. https://doi.org/10.5281/zenodo.7602028.

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In general representation, a type-2 fuzzy set is defined as being composed of all its embedded type-1 fuzzy sets (ET1-FSs) which can be non-convex, sub-normal, and/or discontinuous. However, interval type-2 fuzzy sets (IT2-FSs) are constructed by blurring a baseline type-1 membership function form in many applications, and thus, uncertainties are actually modeled by using only ET1-FSs which preserve the similar meaningful functional form. Therefore, the derived results can be too generic in such cases when all ET1-FSs are included in type-2 fuzzy computations. In this study, a new constrained

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Han, Kyoohyung, Seongkwang Kim, and Yongha Son. "Private Computation on Common Fuzzy Records." Proceedings on Privacy Enhancing Technologies 2025, no. 1 (2025): 567–83. http://dx.doi.org/10.56553/popets-2025-0031.

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Private computation on common records refers to analyze data from two databases containing shared records without revealing personal information. As a basic requirement for private computation, the databases involved essentially need to be aligned by a common identification system. However, it is hard to expect such common identifiers in real world scenario. For this reason, multiple quasi-identifiers can be used to identify common records. As some quasi-identifiers might be missing or have typos, it is important to support fuzzy records setting. Identifying common records using quasi-identifi

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Astuti, Pudji. "SISTEM PENUNJANG KEPUTUSAN INTELIJEN CHAOTIC UNTUK STRATEGI PENGEMBANGAN AGROINDUSTRI UBIKAYU." JURNAL TEKNIK INDUSTRI 2, no. 1 (2012): 47–55. http://dx.doi.org/10.25105/jti.v2i1.7014.

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This study is aimed to design a generic decision support system on early warning system for cassava agroindustry. The intelligent system was established as controlling tools through formulating policies for managing crisis as impact of chaotic occurences. This integrated system was formulated using computer program consist of 5 models which are: variable identify source of turbulence designed with Fuzzy Pairwise Comparation, chaotic investigation model designed with chaos theory approach, Price and material supply forecasting model designed with Artificial Neural Network. Crisis warning model

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Dağıstanlı, Hakan Ayhan, and Kemal Gürol Kurtay. "Facility Location Selection for Ammunition Depots based on GIS and Pythagorean Fuzzy WASPAS." Journal of Operations Intelligence 2, no. 1 (2024): 36–49. http://dx.doi.org/10.31181/jopi2120247.

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The purpose of this study is to determine depot locations where expired ammunition will be controlled before being sent to recycling facilities. Expiration of ammunition means that using, transporting and even storing that ammunition where it is located poses a greater risk. For this reason, it is important to determine facility locations so that ammunition is stored in places that will least harm the environment and human health. The criteria to be used for ammunition depot location selection were determined through literature review, various researches and expert opinions. The proposed model

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Jayez, Jacques. "Sémantique et approximation." Lingvisticæ Investigationes. International Journal of Linguistics and Language Resources 11, no. 1 (1987): 157–96. http://dx.doi.org/10.1075/li.11.1.07jay.

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Semantics and approximation: the presquel'a peine problem. "Scalar" linguistic items, such as those involving fuzziness and approximation, seemingly support the view that natural language is free from any deductive process, and calls rather for a sociology of arguing or applied fuzzy set theory. Observation suggests that some of these items are in fact correlated with complex reasoning-like features, in which linguistic hierarchies (most notably presuppositional ones) and dynamic logical properties (under the generic label of "partial inference") get entangled. In French, presque and à peine e

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Gupta, Deepak, Anil K. Ahlawat, and Kalpna Sagar. "Usability Prediction & Ranking of SDLC Models Using Fuzzy Hierarchical Usability Model." Open Engineering 7, no. 1 (2017): 161–68. http://dx.doi.org/10.1515/eng-2017-0021.

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AbstractEvaluation of software quality is an important aspect for controlling and managing the software. By such evaluation, improvements in software process can be made. The software quality is significantly dependent on software usability. Many researchers have proposed numbers of usability models. Each model considers a set of usability factors but do not cover all the usability aspects. Practical implementation of these models is still missing, as there is a lack of precise definition of usability. Also, it is very difficult to integrate these models into current software engineering pract

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Buran, Büşra, and Mehmet Erçek. "Convergence or Divergence among Business Models of Public Bus Transport Authorities across the Globe: A Fuzzy Approach." Sustainability 13, no. 19 (2021): 10861. http://dx.doi.org/10.3390/su131910861.

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Building on the debate about global convergence or divergence of practices, this study aims to query the viability of a new strategic action tool specifically geared to the interests of public bus transportation authorities (PBTA) around the globe and explore the degree of homogeneity in their responses as well as the possible drivers of them. To answer its research question, the study first offers a generic business model design for a PBTA, which integrates an extended version of the business model canvas with external environmental factors in order to enhance its sustainability. Subsequently

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Boonsothonsatit, Ganda. "Generic decision support system to leverage supply chain performance (GLE) for SMEs in Thailand." Journal of Manufacturing Technology Management 28, no. 6 (2017): 737–48. http://dx.doi.org/10.1108/jmtm-02-2017-0029.

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Purpose This paper explains the development stages of a generic decision support system to leverage supply chain performance (GLE). The purpose of this paper is to identify and trade off the critical supply chain measures which are interrelated and in contradiction with each other. Design/methodology/approach The GLE was developed as an extension of the supply chain performance assessment tool proposed by Banomyong and Supatn (2011). It contained nine measures covering key activities along the supply chain under dimensions of cost, time and reliability. Their interrelations were figured out by

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Edmondson, Michael C., L. Tang, and A. Kern. "Software Development Modules for Microcontroller-Based System." Advances in Science and Technology 56 (September 2008): 45–51. http://dx.doi.org/10.4028/www.scientific.net/ast.56.45.

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Microcontrollers are small devices commonly used for control purposes over a wide range of applications. As the control strategies and the selection of hardware differ from one application to another, it is a common practice for engineers to develop the application programs based-on the selected hardware and the control methodologies. Such development process requires time for programming and testing, especially for large projects which need to interface and integrate with a number of different hardware and software. This paper presents an approach using the concept of soft development modules

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Arvanitidis, Athanasios Ioannis, Dimitrios Bargiotas, Aspassia Daskalopulu, Dimitrios Kontogiannis, Ioannis P. Panapakidis, and Lefteri H. Tsoukalas. "Clustering Informed MLP Models for Fast and Accurate Short-Term Load Forecasting." Energies 15, no. 4 (2022): 1295. http://dx.doi.org/10.3390/en15041295.

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The stable and efficient operation of power systems requires them to be optimized, which, given the growing availability of load data, relies on load forecasting methods. Fast and highly accurate Short-Term Load Forecasting (STLF) is critical for the daily operation of power plants, and state-of-the-art approaches for it involve hybrid models that deploy regressive deep learning algorithms, such as neural networks, in conjunction with clustering techniques for the pre-processing of load data before they are fed to the neural network. This paper develops and evaluates four robust STLF models ba

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Et al., Paryati. "Project Delivery of Goods With Limited Resources and Minimum Time Using Fuzzy Logic Method." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 1729–40. http://dx.doi.org/10.17762/turcomat.v12i6.3380.

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In solving the problem of fuzzy application for scheduling delivery of goods with a limited power source and minimal time, the problems that are still not considered in the RCPS problem modeling are the uncertainty characteristics of the parameters of the timing of activities in the delivery project. Even though this can be solved by using the PERT (Project Evaluation and Review Technoloque) method with a probabilistic approach, this technique still ignores the limitations of the supply of resources. Actually, a probabilistic approach can be used, if previously provided data about the experien

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Potdar, Pavan Kumar, and Srikanta Routroy. "Performance analysis of agile manufacturing: a case study on an Indian auto component manufacturer." Measuring Business Excellence 21, no. 2 (2017): 117–35. http://dx.doi.org/10.1108/mbe-04-2016-0024.

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Purpose The purpose of this paper is to develop a set of key performance indicators (KPIs) for agile manufacturing (AM) and to propose a methodology for its performance evaluation. Design/methodology/approach The proposed methodology was developed using fuzzy analytic hierarchy process (FAHP) and performance value analysis (PVA) to evaluate and analyze the AM performance. The FAHP is applied to determine the importance of KPIs, and PVA is used to evaluate AM performance. Findings The proposed methodology is applied to an Indian auto component manufacturer, and it is observed that there is an i

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Boonsothonsatit, Kanda, Sami Kara, Suphunnika Ibbotson, and Berman Kayis. "Development of a Generic decision support system based on multi-Objective Optimisation for Green supply chain network design (GOOG)." Journal of Manufacturing Technology Management 26, no. 7 (2015): 1069–84. http://dx.doi.org/10.1108/jmtm-10-2012-0102.

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Purpose – The purpose of this paper is to propose a Generic decision support system which is based on multi-Objective Optimisation for Green supply chain network design (GOOG). It aims to support decision makers to design their supply chain networks using three key objectives: the lowest cost and environmental impact and the shortest lead time by incorporating the decision maker’s inputs. Design/methodology/approach – GOOG aims to suggest the best-fitted parameters for supply chain partners and manufacturing plant locations, their order allocations, and appropriate transportation modes and lot

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VU, XUAN-HA, and BARRY O'SULLIVAN. "A UNIFYING FRAMEWORK FOR GENERALIZED CONSTRAINT ACQUISITION." International Journal on Artificial Intelligence Tools 17, no. 05 (2008): 803–33. http://dx.doi.org/10.1142/s0218213008004175.

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When a practical problem can be modeled as a constraint satisfaction problem (CSP), which is a set of constraints that need to be satisfied, it can be solved using many constraint programming techniques. In many practical applications, while users can recognize examples of where a CSP should be satisfied or violated, they cannot articulate the specification of the CSP itself. In these situations, it can be helpful if the computer can take an active role in learning the CSP from examples of its solutions and non-solutions. This is called constraint acquisition. This paper introduces a framework

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Efendiyev, G., M. Karazhanova, D. Akhmetov, and I. Piriverdiyev. "EVALUATING THE DEGREE OF COMPLEXITY OF TIGHT OIL RECOVERY BASED ON THE CLASSIFICATION OF OILS." Visnyk of Taras Shevchenko National University of Kyiv. Geology, no. 1 (88) (2020): 76–81. http://dx.doi.org/10.17721/1728-2713.88.11.

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The article discusses the results of the use of cluster analysis in assessing the degree of oil recovery complexity and its impact on the performance indicator. For this purpose, clustering was performed using a fuzzy cluster analysis algorithm. It should be noted that along with the deposits of heavy and highly viscous oils, a large share of hard-to-recover reserves is also confined to conditions with very low reservoir permeability values. Data on viscosity, oil density and oil permeability of in-situ conditions from various fields of Kazakhstan are collected. Using the results of this class

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Zaerpour, Masoud, Shadi Hatami, Javad Sadri, and Ali Nazemi. "A global algorithm for identifying changing streamflow regimes: application to Canadian natural streams (1966–2010)." Hydrology and Earth System Sciences 25, no. 9 (2021): 5193–217. http://dx.doi.org/10.5194/hess-25-5193-2021.

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Abstract. Climate change affects natural streamflow regimes globally. To assess alterations in streamflow regimes, typically temporal variations in one or a few streamflow characteristics are taken into account. This approach, however, cannot see simultaneous changes in multiple streamflow characteristics, does not utilize all the available information contained in a streamflow hydrograph, and cannot describe how and to what extent streamflow regimes evolve from one to another. To address these gaps, we conceptualize streamflow regimes as intersecting spectrums that are formed by multiple stre

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Pileggi, Salvatore Flavio. "Clustering with Uncertainty: A Literature Review to Address a Cross-Domain Perspective." Informatics 12, no. 2 (2025): 38. https://doi.org/10.3390/informatics12020038.

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Clustering is a very popular computational technique that, because of imperfect data, is often applied in the presence of some kind of uncertainty. Taking into account such an uncertainty (and model), the computational output accordingly contributes to increasing the accuracy of the computations and their effectiveness in context. However, there are challenges. This paper presents a literature review on the topic. It aims to identify and discuss the associated body of knowledge according to a cross-domain perspective. A semi-systematic methodology has allowed for the selection of 68 papers, pr

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Das, Manik Chandra, Bijan Sarkar, and Siddhartha Ray. "A performance evaluation framework for technical institutions in one of the states of India." Benchmarking: An International Journal 22, no. 5 (2015): 773–90. http://dx.doi.org/10.1108/bij-02-2013-0019.

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Purpose – Technical education plays an important role in the development of a country in this age of knowledge economy. Indian technical education system is facing many opportunities and challenges, one of which is how to assess the performance of technical institutions based on multiple criteria. The purpose of this paper is to describe and illustrate an application of a structured approach to determine relative efficiency and ranking of a set of private engineering colleges under multi-criteria environment. Design/methodology/approach – To cater to the increasing need of technical manpower,

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Ferland, Yaïves, and Mir Abolfazl Mostafavi. "From Spatial to Platial Information Systems: For a Better Representation of the Sense of Place." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-76-2019.

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<p><strong>Abstract.</strong> In a traditional Geographical Information System (GIS), one usually characterizes spatial entities by their individual placename (or toponym) and a set of defined attributes. These entities and their attributes are structured in table frames with functional relations, plus coordinates of their geometric primitives for location in a quantified space. In such a case, one considers the geographical names of these entities as unique identifiers under the standardized ‘generic-specific’ binomial, in one-to-one relationships with features of interest o

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Oskarsson, Ingrid Marie Leikvoll, and Erlend Vik. "Suggesting a holistic framework for understanding healthcare services leadership competence – a critical interpretive synthesis." Leadership in Health Services 37, no. 5 (2024): 99–129. http://dx.doi.org/10.1108/lhs-08-2023-0059.

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Purpose Healthcare providers are under pressure due to increasing and more complex demands for services. Increased pressure on budgets and human resources adds to an ever-growing problem set. Competent leaders are in demand to ensure effective and well-performing healthcare organisations that deliver balanced results and high-quality services. Researchers have made significant efforts to identify and define determining competencies for healthcare leadership. Broad terms such as competence are, however, inherently at risk of becoming too generic to add analytical value. The purpose of this stud

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Yarovenko, Hanna, Agnieszka Lopatka, Tetyana Vasilyeva, and Imre Vida. "Socio-economic profiles of countries - cybercrime victims." Economics & Sociology 16, no. 2 (2023): 167–94. http://dx.doi.org/10.14254/2071-789x.2023/16-2/11.

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Adeyemo, K. A., Isiavwe, D., Adetula, D., Olamide, O., & Folashade, O. (2020). Mandatory adoption of the Central Bank of Nigeria’s cashless and e-payment policy: implications for bank customers. Banks and Bank Systems, 15(2), 243-253. https://doi.org/10.21511/bbs.15(2).2020.21 Barabashev, A., Makarov, I., & Zarochintcev, S. (2022). How to shape government policies on high-technology development using the indicative evaluation of risks? Administratie si Management Public, 38, 70-89. https://doi.org/10.24818/amp/2022.38-04 Bayram, M., & Akat, M. (2019). Market-Neutral Trading with Fu

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Wild, Paul, and Lutz Schröder. "Characteristic Logics for Behavioural Hemimetrics via Fuzzy Lax Extensions." Logical Methods in Computer Science Volume 18, Issue 2 (June 15, 2022). http://dx.doi.org/10.46298/lmcs-18(2:19)2022.

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In systems involving quantitative data, such as probabilistic, fuzzy, or metric systems, behavioural distances provide a more fine-grained comparison of states than two-valued notions of behavioural equivalence or behaviour inclusion. Like in the two-valued case, the wide variation found in system types creates a need for generic methods that apply to many system types at once. Approaches of this kind are emerging within the paradigm of universal coalgebra, based either on lifting pseudometrics along set functors or on lifting general real-valued (fuzzy) relations along functors by means of fu

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Sonia, Pratiksha Tiwari, and Priti Gupta. "Novel distance, similarity and entropy measures for interval valued intuitionistic fuzzy soft set." Journal of Intelligent & Fuzzy Systems, April 28, 2022, 1–20. http://dx.doi.org/10.3233/jifs-212647.

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Soft and fuzzy sets are generic tools to deal with uncertainty. Both contemporary sets are not suitable to deal with all type of uncertain parameters. In this paper the hybridization of soft with extended fuzzy set information measures are derived. Interval-valued intuitionistic fuzzy soft set theory is a powerful tool for dealing with uncertainty of knowledge in information systems. In this paper, firstly some distance and similarity measures for interval-valuefvd intuitionistic fuzzy soft sets were proposed. Further, some new entropy measures are also introduced by using the similarity measu

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Dissanayake, Nayana, Bo Xia, Martin Skitmore, Bambang Trigunarsyah, and Vanessa Menadue. "Developing a generic fuzzy multi-attribute analysis model for EPC contractor selection." Built Environment Project and Asset Management, May 27, 2025. https://doi.org/10.1108/bepam-11-2024-0257.

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PurposeThis study introduces a novel fuzzy multi-attribute analysis (FMAA) model to enhance decision-making in engineering-procurement-construction (EPC) contractor selection by effectively addressing the complexities and uncertainties inherent in these processes.Design/methodology/approachThe FMAA model was developed through a comprehensive methodology comprising an extensive literature review to identify challenges and criteria in contractor selection, expert consultations to refine the model framework, and validation via in-depth interviews with experienced EPC project managers. Key steps i

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Dikshit-Ratnaparkhi, A., D. Bormane, and R. Ghongade. "A Framework for Optimal Attribute Evaluation and Selection in Hesitant Fuzzy Environment Based on Enhanced Ordered Weighted Entropy Approach for Medical Dataset." Journal of Biomedical Physics and Engineering, April 17, 2019. http://dx.doi.org/10.31661/jbpe.v0i0.1033.

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Background: In this paper, a generic hesitant fuzzy set (HFS) model for clustering various ECG beats according to weights of attributes is proposed. A comprehensive review of the electrocardiogram signal classification and segmentation methodologies indicates that algorithms which are able to effectively handle the nonstationary and uncertainty of the signals should be used for ECG analysis. Extensive research that focuses on incorporating vagueness in the form of fuzzy sets, fuzzy rough sets and hesitant fuzzy sets (HFS) has been in past decades.Objective: The paper aims to develop an enhance

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Singh, Surender, and Sonam Sharma. "Aggregation operators-based divergence measures for single-valued neutrosophic sets with their applications to pattern recognition." Journal of Intelligent & Fuzzy Systems, February 22, 2024, 1–14. http://dx.doi.org/10.3233/jifs-232369.

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A Single-valued neutrosophic set (SVNS) has recently been explored as a comprehensive tool to assess uncertain information due to varied human cognition. This notion stretches the domain of application of the classical fuzzy set and its extended versions. Various comparison measures based on SVNSs like distance measure, similarity measure, and, divergence measure have practical significance in the study of clustering analysis, pattern recognition, machine learning, and computer vision-related problems. Existing measures have some drawbacks in terms of precision and exclusion of information and

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