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Articles de revues sur le sujet « Fuzzy relational concept analysis »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 31 juillet 2025

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1

Boffa, Stefania, Petra Murinová, and Vilém Novák. "A proposal to extend Relational Concept Analysis with fuzzy scaling quantifiers." Knowledge-Based Systems 231 (November 2021): 107452. http://dx.doi.org/10.1016/j.knosys.2021.107452.

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De Maio, C., G. Fenza, M. Gallo, V. Loia, and S. Senatore. "Formal and relational concept analysis for fuzzy-based automatic semantic annotation." Applied Intelligence 40, no. 1 (2013): 154–77. http://dx.doi.org/10.1007/s10489-013-0451-7.

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Nobuhara, Hajime, and Kaoru Hirota. "A Fuzzification of Morphological Wavelets Based on Fuzzy Relational Calculus and its Application to Image Compression/Reconstruction." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 4 (2004): 373–78. http://dx.doi.org/10.20965/jaciii.2004.p0373.

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A new style of fuzzy wavelets is proposed by the fuzzification of morphological wavelets. Due to the correspondence of the morphological wavelets operations and fuzzy relational ones, wavelets analysis/synthesis schemes can be formulated based on fuzzy relational calculus. To enable efficient image compression/reconstruction, the concept of the alpha-band which is an alpha-cut generalization, is also proposed for thresholding wavelets. In an image compression/reconstruction experiment using test images extracted from the Standard Image DataBAse (SIDBA), it is confirmed that the root mean squar

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Jiang, Xian-Ling, and Yi-Lin Zhao. "Grey Relational Method for Evaluating the Macro-Economy Performance with Triangular Fuzzy Information." Journal of Computational and Theoretical Nanoscience 13, no. 10 (2016): 7385–89. http://dx.doi.org/10.1166/jctn.2016.5730.

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The new theory comes when the current economic circumstance cannot be explained. The Great Depression in 1930s severely smashed the world economy and no explanations and policies were provided by the classical laissez-faire until the Roosevelt New Deal took the world economy out of depression. The macroeconomic theory has been brought out by John Maynard Keynes. Early this century, not only did the US Sub-prime crisis strongly affect the world economy, but also the macroeconomic theory. The development of the macroeconomic theory after the Sub-prime crisis becomes a hot topic. In this paper, w

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ALCALDE, CRISTINA, ANA BURUSCO, and RAMÓN FUENTES-GONZÁLEZ. "ANALYSIS OF CERTAIN L-FUZZY RELATIONAL EQUATIONS AND THE STUDY OF ITS SOLUTIONS BY MEANS OF THE L-FUZZY CONCEPT THEORY." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20, no. 01 (2012): 21–40. http://dx.doi.org/10.1142/s021848851250002x.

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Given a Brouwerian complete lattice (L,≤) and two referential sets K and E, and using a fuzzy relation R ∈ LE×E which is reflexive and symmetric, certain fuzzy relations [Formula: see text] are characterized as solutions of X ⊲ R = X, proving that they play the role of the blocks in the context of crisp tolerance relations. Moreover, it is verified that these new fuzzy blocks [Formula: see text] can be determinated by means of the L-fuzzy concepts associated with the K -labeled L-fuzzy context (L,K,E,E,R).

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Močkoř, Jiří. "Cut Systems with Relational Morphisms for Semiring-Valued Fuzzy Structures." Axioms 12, no. 2 (2023): 153. http://dx.doi.org/10.3390/axioms12020153.

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Many of the new MV-valued fuzzy structures, including intuitionistic, neutrosophic, or fuzzy soft sets, can be transformed into so-called almost MV-valued fuzzy sets, or, equivalently, fuzzy sets with values in dual pair of semirings (in symbols, (R,R*)-fuzzy sets). This transformation allows any construction of almost MV-valued fuzzy sets to be retransformed into an analogous construction for these new fuzzy structures. In that way, approximation theories for (R,R*)-fuzzy sets, rough (R,R*)-fuzzy sets theories, or F-transform theories for (R,R*)-fuzzy sets have already been created and then r

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Huang, Sue-Fen. "Cognitive diagnostic assessment based on knowledge structure." MATEC Web of Conferences 169 (2018): 01020. http://dx.doi.org/10.1051/matecconf/201816901020.

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The purpose of this study is to provide an integrated method of fuzzy theory basis for individualized concept structure analysis. In order to insight the misconception of learning basic mathematics and progress teaching. This method integrates Fuzzy Logic Model of Perception (FLMP) and Interpretive Structural Modelling (ISM). The combined algorithm could analyze individualized concepts structure based on the comparisons with concept structure of expert. In this paper, some well-known knowledge structure assessment methods will be discussed. For item connection, Bart et al ordering theory and T

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Alqahtani, Mohammed. "Intuitionistic Fuzzy Quasi-Supergraph Integration for Social Network Decision Making." International Journal of Analysis and Applications 23 (June 9, 2025): 137. https://doi.org/10.28924/2291-8639-23-2025-137.

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This study explores the complexities of intuitionistic fuzzy (hyper) graphs, considering them as complex (hyper) networks, and presents a unique idea for intuitionistic fuzzy (quasi) superhypergraphs. The extension considers intuitionistic fuzzy superhypergraphs to be complicated superhyper networks to establish particular and general links between labeled items. These intuitionistic fuzzy (quasi) superhypergraphs arrange labeled object groups and analyze them in several relational aspects at the same time, including part-to-part, part-to-whole, and whole-to-whole groupings. The research inves

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Wei, Qian. "Product Shape Design Scheme Evaluation Method Based on Spatial Data Mining." Mathematical Problems in Engineering 2022 (July 20, 2022): 1–8. http://dx.doi.org/10.1155/2022/3231357.

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The stage of product modeling design implies a lot of complex tacit knowledge, which is the embodiment of the design concept centered on product modeling design and is also the hot spot and difficulty of modern design theory and method research. Aiming at the evaluation and decision of product modeling design scheme, a decision-making method of approaching ideal solution ranking based on grey relational analysis was proposed, which realized the convergence of tacit knowledge. The empty association rule is an important knowledge content of spatial data mining. A fuzzy genetic algorithm can solv

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Riaz, Muhammad, Muhammad Tahir Hamid, Deeba Afzal, Dragan Pamucar, and Yu-Ming Chu. "Multi-criteria decision making in robotic agri-farming with q-rung orthopair m-polar fuzzy sets." PLOS ONE 16, no. 2 (2021): e0246485. http://dx.doi.org/10.1371/journal.pone.0246485.

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q-Rung orthopair fuzzy set (qROFS) and m-polar fuzzy set (mPFS) are rudimentary concepts in the computational intelligence, which have diverse applications in fuzzy modeling and decision making under uncertainty. The aim of this paper is to introduce the hybrid concept of q-rung orthopair m-polar fuzzy set (qROmPFS) as a hybrid model of q-rung orthopair fuzzy set and m-polar fuzzy set. A qROmPFS has the ability to deal with real life situations when decision experts are interested to deal with multi-polarity as well as membership and non-membership grades to the alternatives in an extended dom

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Rybanov, Alexander Aleksandrovich. "A PRACTICAL METHOD FOR IMPLEMENTING FUZZY QUERIES FOR RELATIONAL DATABASES." Mathematics and Informatics LXV, no. 4 (2022): 379–92. http://dx.doi.org/10.53656/math2022-4-5-pra.

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Information systems that use databases are flexible to the extent that they allow users to request the data they need. SQL is limited to precise data processing and does not directly express fuzzy concepts of natural language. Therefore, giving SQL some flexibility can help users improve interaction with information systems without requiring them to learn a completely new language. The task of reducing the labor intensity of the process of integrating the mechanisms of fuzzy requests to existing information systems is urgent. The article shows the limitations of clear queries, considers variou

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Sahu, Santosh Kumar, Saurav Datta, and Siba Sankar Mahapatra. "Appraisement and benchmarking of supply chain performance extent." Grey Systems: Theory and Application 5, no. 1 (2015): 2–30. http://dx.doi.org/10.1108/gs-10-2014-0036.

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Purpose – Supply chain performance (SCP) extent can be attributed as a function of multiple criteria/attributes. Most of the criterions/attributes being intangible in nature; SCP appraisement relies on the subjective judgment of the decision makers. Moreover, quantitative appraisement of SCP appears to be very difficult due to involvement of ill-defined (vague) performance measures as well as metrics. The purpose of this paper is to develop an efficient decision support system (DSS) to facilitate SCP appraisement, benchmarking and related decision making. Design/methodology/approach – This stu

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Kuang, Qing. "Grey Relational Analysis Model for Comprehensive Evaluation on Risk Early-Warning for Enterprises Investment Project." Advanced Materials Research 748 (August 2013): 1267–72. http://dx.doi.org/10.4028/www.scientific.net/amr.748.1267.

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With the development of economic globalization and the rise of knowledge-based economy, human capital as the knowledge and skills of the carrier for the contribution of economic development has been more than other material capital, the competition between the enterprises also change correspondingly to talented person's competition, therefore, human capital has become the strategic resource of enterprise compete. However, human capital is different from other physical capital is the property that makes enterprise on the human capital investment is possessed of the potential huge risk. For ente

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Рыбанов, А. А., and А. А. Силаев. "METHOD ADAPTION RELATIONAL DATABASES TO FUZZY QUERIES." Южно-Сибирский научный вестник, no. 4(44) (August 31, 2022): 74–80. http://dx.doi.org/10.25699/sssb.2022.44.4.005.

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Информационные системы, использующие базы данных, являются гибкими в той мере, в какой они позволяют пользователям запрашивать необходимые им данные. Язык SQL ограничен точной обработкой данных и не позволяет напрямую выразить нечеткие понятия естественного языка. Следовательно, придание SQL некоторой гибкости может помочь пользователям улучшить взаимодействие с информационными системами, не требуя от них изучения совершенно нового языка. Актуальной является задача снижения трудоемкости процесса интеграции механизмов нечетких запросов к уже действующим информационным системам. В статье показан

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Liu, Chao, Guolin Tang, and Peide Liu. "An Approach to Multicriteria Group Decision-Making with Unknown Weight Information Based on Pythagorean Fuzzy Uncertain Linguistic Aggregation Operators." Mathematical Problems in Engineering 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/6414020.

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With respect to multicriteria group decision-making (MCGDM) problems in which the experts have different priority levels, the criteria values are in the form of Pythagorean fuzzy uncertain linguistic variables (PFULVs), and the information about weights of experts and criteria is completely unknown, a novel decision-making method is developed. Firstly, the concept of PFULV is defined, and some operational laws, score function, accuracy function, and normalized Hamming distance of PFULVs are presented. Then, to aggregate information given by all experts, the Pythagorean fuzzy uncertain linguist

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Borisov, Vadim V., Sergey P. Kurilin, and Victor S. Luferov. "Fuzzy relational cognitive temporal models for analyzing and state prediction of complex technical systems." Journal Of Applied Informatics 17, no. 1 (97) (2022): 27–38. http://dx.doi.org/10.37791/2687-0649-2022-17-1-27-38.

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The effectiveness of fuzzy cognitive modeling methods for analyzing and predicting the state of complex technical systems (STS) is justified by the following reasons: significant interdependence, non-linear nature and incompleteness of information about the mutual influence of the analyzed parameters of the CTS; a variety of effects of internal and external factors on the CTS; complexity and cost of conducting experimental studies during the operation of these systems. The main limitations of fuzzy cognitive models for modeling STS dynamics are: the complexity of taking into account the mutual

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Ramesh, S., and L. Karunamoorthy. "Turning Investigations on Machining of Ti64 Alloy with Different Cutting Tool Inserts." Materials Science Forum 763 (July 2013): 1–27. http://dx.doi.org/10.4028/www.scientific.net/msf.763.1.

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Turning operation is fundamental in the manufacturing industry to produce cylindrical parts especially for producing near-nett shape, and aesthetic requirements with good dimensional accuracy. This present research chapter, an attempt has been made to investigate the machining characteristics of titanium alloys. The investigation has been carried out to measure the effect of tool flank wear, surface roughness, cutting force and temperature on different cutting tools by adopting Taguchi’s design of experiment concept. This investigation was set to analyse and develop a mathematical model using

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Abhishekh, Surendra Singh Gautam, and S. R. Singh. "A Score Function-Based Method of Forecasting Using Intuitionistic Fuzzy Time Series." New Mathematics and Natural Computation 14, no. 01 (2018): 91–111. http://dx.doi.org/10.1142/s1793005718500072.

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Intuitionistic fuzzy set plays a vital role in data analysis and decision-making problems. In this paper, we propose an enhanced and versatile method of forecasting using the concept of intuitionistic fuzzy time series (FTS) based on their score function. The developed method has been presented in the form of simple computational steps of forecasting instead of complicated max–min compositions operator of intuitionistic fuzzy sets to compute the relational matrix [Formula: see text]. Also, the proposed method is based on the maximum score and minimum accuracy function of intuitionistic fuzzy n

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Ayağ, Zeki. "A comparison study of fuzzy-based multiple-criteria decision-making methods to evaluating green concept alternatives in a new product development environment." International Journal of Intelligent Computing and Cybernetics 14, no. 3 (2021): 412–38. http://dx.doi.org/10.1108/ijicc-03-2021-0040.

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PurposeIn this paper, the four popular multiple-criteria decision-making (MCDM) methods in fuzzy environment are utilized to reflect the vagueness and uncertainty on the judgments of decision-makers (DMs), because the crisp pairwise comparison in these conventional MCDM methods seems to be insufficient and imprecise to capture the right judgments of DMs. Of these methods, as Fuzzy analytic hierarchy process (F-AHP) is used to calculate criteria weights, the other methods; Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS), Fuzzy Grey relational analysis (F-GRA)

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Zhang, Zhen, and Pengfei Su. "Research on the English Classroom Teaching Effect Evaluation with Interval-Valued Intuitionistic Fuzzy Grey Relational Analysis Method." Mathematical Problems in Engineering 2022 (April 15, 2022): 1–11. http://dx.doi.org/10.1155/2022/7445250.

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The English classroom teaching effect evaluation is looked as the multiattribute group decision-making (MAGDM). Thus, a useful MAGDM algorithm is needed to cope with it. Depending on the classical GRA process and interval-valued IFSs (IVIFSs), this study builds the IVIF-GRA process to assess the English classroom teaching effect. First of all, the concepts of IVIFSs are reviewed. In addition, the weights of criteria are derived through the CRITIC method. Afterwards, the GRA model is extended to IVIFSs to get the final result of the alternative. Therefore, all alternatives could be ranked and t

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Ran, Rong, and Bang-Jun Wang. "Combining grey relational analysis and TOPSIS concepts for evaluating the technical innovation capability of high technology enterprises with fuzzy information." Journal of Intelligent & Fuzzy Systems 29, no. 4 (2015): 1301–9. http://dx.doi.org/10.3233/ifs-141380.

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Sakai, Hiroshi, and Masahiro Inuiguchi. "Special Issue on Rough Sets and Granular Computing." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 5 (2006): 605. http://dx.doi.org/10.20965/jaciii.2006.p0605.

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Rough sets and granular computing, known as new methodologies for computing technology, are now attracting great interest of researchers. This special issue presents 12 articles, and most of them were presented at the second Japanese workshop on Rough Sets held at Kyushu Institute of Technology in Tobata, Kitakyushu, Japan, on August 17-18, 2005. The first article studies the relation between rough set theory and formal concept analysis. These two frameworks are analyzed and connected by using the method of morphism. The second article introduces object-oriented paradigm into rough set theory,

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Wang, Tianxiong, and Liu Yang. "Combining GRA with a Fuzzy QFD Model for the New Product Design and Development of Wickerwork Lamps." Sustainability 15, no. 5 (2023): 4208. http://dx.doi.org/10.3390/su15054208.

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With the popularization of the concept of sustainability in traditional wickerwork, wickerwork lamps have become the most popular production. When customers purchase wickerwork lamp products, the Kansei consensus has become a key factor influencing the communication between manufacturers and customers. Therefore, the purpose of this paper is to explore the product design solutions for wickerwork lamps that meet the emotional satisfaction of users. Firstly, a three-level evaluation grid diagram driven by user attractiveness through Miryoku Engineering is established. Secondly, this paper uses g

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Beghriche, Abdesselem, and Azeddine Bilami. "A fuzzy trust-based routing model for mitigating the misbehaving nodes in mobile ad hoc networks." International Journal of Intelligent Computing and Cybernetics 11, no. 2 (2018): 309–40. http://dx.doi.org/10.1108/ijicc-04-2017-0038.

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PurposeSecurity is one of the major challenges in the design and implementation of protocols for mobile ad hoc networks (MANETs). In such systems, the cooperation between nodes is one of the important principles being followed in the current research works to formulate various security protocols. Many existing works assume that mobile nodes will follow prescribed protocols without deviation. However, this is not always the case, because these networks are subjected to a variety of malicious attacks. Since there are various models of attack, trust routing scheme can guarantee security and trust

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Wu, Kuo-Jui, Ching-Jong Liao, MingLang Tseng, and Kevin Kuan-Shun Chiu. "Multi-attribute approach to sustainable supply chain management under uncertainty." Industrial Management & Data Systems 116, no. 4 (2016): 777–800. http://dx.doi.org/10.1108/imds-08-2015-0327.

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Purpose – The purpose of this paper is to enhance the understanding of sustainable supply chain management (SSCM) and provide a comprehensive and quantitative method to assess performance. Design/methodology/approach – The study applied interval-valued triangular fuzzy numbers associated with grey relational analysis to improve the insufficient information and overcome the incomplete system under uncertainty. Findings – The findings support the argument that the triple bottom line is insufficient to cover the entire concept of SSCM; in particular, the aspects of operations, stakeholders and re

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Asees Awan, Muhammad, and Yousaf Ali. "Sustainable modeling in reverse logistics strategies using fuzzy MCDM." Management of Environmental Quality: An International Journal 30, no. 5 (2019): 1132–51. http://dx.doi.org/10.1108/meq-01-2019-0024.

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Purpose Globalization in supply chain networks is urging manufacturing companies for the production of sustainable products with re-engineering technologies that offer competitive advantage in current market. However, the increasing sustainable illumes are influencing reverse logistics (RL) systems to analyze their impacts on economy, environment and society. Recently, China’s $62bn investment under the egis of China Pakistan Economic Corridor (CPEC), which comprises a number of infrastructure and energy projects is developing Pakistan as a part of “One Belt One Road” initiative. Accordingly,

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Jafarzadeh Ghoushchi, Saeid, Mohd Nizam Ab Rahman, Diba Raeisi, Elnaz Osgooei, and Majid Jafarzadeh Ghoushji. "Integrated Decision-Making Approach Based on SWARA and GRA Methods for the Prioritization of Failures in Solar Panel Systems under Z-Information." Symmetry 12, no. 2 (2020): 310. http://dx.doi.org/10.3390/sym12020310.

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Encountering a problem or error in the final stages of providing products or services increases costs and delays scheduling. The key task is to ensure quality and reliability in the early stages of the production process and prevent errors from occurring from the beginning. Failure mode and effect analysis (FMEA) is one of the tools for identifying potential problems and their impact on products and services. The conventional FMEA technique has been criticized extensively due to its disadvantages. In this study, the concepts of uncertainty and reliability are considered simultaneously. The pro

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Tseng, Ming-Lang, Tat-Dat Bui, Ming K. Lim, Feng Ming Tsai, and Raymond R. Tan. "Comparing world regional sustainable supply chain finance using big data analytics: a bibliometric analysis." Industrial Management & Data Systems 121, no. 3 (2021): 657–700. http://dx.doi.org/10.1108/imds-09-2020-0521.

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PurposeSustainable supply chain finance (SSCF) is a fascinated consideration for both academics and practitioners because the indicators are still underdeveloped in achieving SSCF. This study proposes a bibliometric data-driven analysis from the literature to illustrate a clear overall concept of SSCF that reveals hidden indicators for further improvement.Design/methodology/approachA hybrid quantitative and qualitative approach combining data-driven analysis, fuzzy Delphi method (FDM), entropy weight method (EWM) and fuzzy decision-making trial and evaluation laboratory (FDEMATEL) is employed

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Lin, Chinho, Shu-Fang Ting, Leslie Lee, and Sheng-Tun Lin. "Firm capability assessment via the BSC and DEA." Industrial Management & Data Systems 121, no. 3 (2021): 567–93. http://dx.doi.org/10.1108/imds-07-2020-0405.

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PurposeThis study proposes an objective assessment model to evaluate the performance of internal and external capabilities of firms. It facilitates firms to invest appropriate resources to cultivate the organizational capability necessary to meet the requirements of the performance indicators.Design/methodology/approachThis study integrates the concepts of resource-based theory, the organizational capability concept, and conduct a performance analysis to the four perspectives of the BSC by implementing the fuzzy set theory and data employment analysis.FindingsThe findings show that the appropr

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Lan, Shulin, Hao Zhang, Ray Y. Zhong, and G. Q. Huang. "A customer satisfaction evaluation model for logistics services using fuzzy analytic hierarchy process." Industrial Management & Data Systems 116, no. 5 (2016): 1024–42. http://dx.doi.org/10.1108/imds-09-2015-0389.

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Purpose – As the modern manufacturing twining seamlessly with logistics operations for value adding services, logistics service is becoming more and more significant. Under this research background, the purpose of this paper is to introduce an innovative evaluation model for customer satisfaction using fuzzy analytic hierarchy process (FAHP). Design/methodology/approach – This model uses triangular fuzzy concept to determine the weight of each index so that subjective or objective weighting is addressed. A case study from two large express companies in China is used to demonstrate the feasibil

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Akbarzadeh, Masoumeh, Houshang Taghizadeh, and Majid Bagherzadeh Khajeh. "Design and Analysis of Exit Strategies from Recession in Active Companies in the Automotive Parts Manufacturing Industry Using the Fuzzy Cognitive Map Approach (Case Study: Northwest Iran)." Management Strategies and Engineering Sciences 7, no. 2 (2025): 43–59. https://doi.org/10.61838/msesj.7.2.5.

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The purpose of this study is to design and analyze a model for exit strategies from recession in companies operating in the automotive parts manufacturing industry. This study is of a developmental-applied nature and follows a mixed-methods approach (qualitative and quantitative). The qualitative section is based on a multi-grounded theory approach to develop a qualitative model of dimensions, combining empirical exploratory findings (interviews) and theoretical exploratory findings (meta-synthesis of scientific documents). Quantitative analyses were conducted using the fuzzy cognitive map app

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Wang, Tianxiong. "A Novel Approach of Integrating Natural Language Processing Techniques with Fuzzy TOPSIS for Product Evaluation." Symmetry 14, no. 1 (2022): 120. http://dx.doi.org/10.3390/sym14010120.

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Product designers need to fully understand consumers’ emotional preferences and responses for product forms to improve products. However, users and designers have different understandings and concepts in the product evaluation process, which will lead to cognitive asymmetry in the product design and evaluating process. This phenomenon prevents designers to grasp users’ needs, increasing the risk of product development failure. To this end, this paper proposes a product evaluation method that combines natural language processing techniques and fuzzy multi-criteria decision-making into a new int

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Abdullah, Saleem, Alaa O. Almagrabi, and Nawab Ali. "A New Method for Commercial-Scale Water Purification Selection Using Linguistic Neural Networks." Mathematics 11, no. 13 (2023): 2972. http://dx.doi.org/10.3390/math11132972.

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A neural network is a very useful tool in artificial intelligence (AI) that can also be referred to as an ANN. An artificial neural network (ANN) is a deep learning model that has a broad range of applications in real life. The combination and interrelationship of neurons and nodes with each other facilitate the transmission of information. An ANN has a feed-forward neural network. The neurons are arranged in layers, and each layer performs a particular calculation on the incoming data. Up until the output layer, which generates the network’s ultimate output, is reached, each layer’s output is

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Bazin, Alexandre, Jessie Galasso, and Giacomo Kahn. "Polyadic relational concept analysis." International Journal of Approximate Reasoning 164 (January 2024): 109067. http://dx.doi.org/10.1016/j.ijar.2023.109067.

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Rouane-Hacene, Mohamed, Marianne Huchard, Amedeo Napoli, and Petko Valtchev. "Relational concept analysis: mining concept lattices from multi-relational data." Annals of Mathematics and Artificial Intelligence 67, no. 1 (2013): 81–108. http://dx.doi.org/10.1007/s10472-012-9329-3.

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Wang, Shyue-Liang, Tzung-Pei Hong, and Wen-Yang Lin. "Answering Null Queries by Analogical Reasoning on Similarity-based Fuzzy Relational Databases." Journal of Advanced Computational Intelligence and Intelligent Informatics 5, no. 3 (2001): 163–71. http://dx.doi.org/10.20965/jaciii.2001.p0163.

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We present here a method of using analogical reasoning to infer approximate answers for null queries on similarity-based fuzzy relational databases. Null queries are queries that elicit a null answer from a database. Analogical reasoning assumes that if two situations are known to be similar in some respects, it is likely that they will be similar in others. Application of analogical reasoning to infer approximate answers for null queries using fuzzy functional dependency and fuzzy equality relation on possibility-based fuzzy relational database has been studied. However, the problem of inferr

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Tayal, Devendra K., and P. C. Saxena. "Multivalued Dependencies in Fuzzy Multivalued Relational Databases Using Fuzzy Functions." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 23, no. 04 (2015): 589–626. http://dx.doi.org/10.1142/s0218488515500269.

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In this paper we discuss an important integrity constraint called multivalued dependency (mvd), which occurs as a result of the first normal form, in the framework of a newly proposed model called fuzzy multivalued relational data model. The fuzzy multivalued relational data model proposed in this paper accommodates a wider class of ambiguities by representing the domain of attributes as a “set of fuzzy subsets”. We show that our model is able to represent multiple types of impreciseness occurring in the real world. To compute the equality of two fuzzy sets/values (which occur as tuple-values)

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Anthvanet, L. Jeromia, A. Rajkumar, and D. Nagarajan. "A Study on Plithogenic Fuzzy Relational Mapping and Its Application in Python Program." International Journal of Neutrosophic Science 19, no. 02 (2022): 42–56. http://dx.doi.org/10.54216/ijns.190204.

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In this research paper, we explore the notion of Plithogenic Fuzzy Relational Mapping (PFRM) and its applications. Plithogenic Fuzzy Relational Mapping concept is utilized as a logical procedure with a defined contradiction degree to evaluate multiple attributes. A Plithogenic fuzzy relational matrix is used as the adjacency matrix. Using Plithogenic fuzzy union and intersection operators, the resultant vector is calculated. The degree of contradiction for each attribute value with the dominating attribute gives a way to better accurate results. A case study has been taken and we have implemen

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Samreen Nanji *, Ghulam Muhammad, Shahida, and Shireen Arif. "Relational Practice: A Concept Analysis." Physical Education, Health and Social Sciences 3, no. 2 (2025): 168–74. https://doi.org/10.63163/jpehss.v3i2.320.

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Relational practice is increasingly being recognized as a core framework within contemporary nursing, shifting care away from task-focused routines and towards person-facilitated relationships grounded in compassion, ethics, and mindful engagement. Based in active listening, empathy, respect, and teamwork, relational practice addresses rising healthcare complexity through the development of purposeful therapeutic alliances between nurses, patients, and interprofessional team members (Smith, 2020; Hartrick Doane & Varcoe, 2021). With health care embracing digital platforms, relational compe

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Štěpnička, Martin, Nhung Cao, Michal Burda, Aleš Dolný, and Stanislav Ožana. "The concept of unavoidable features in fuzzy relational compositions." Knowledge-Based Systems 196 (May 2020): 105785. http://dx.doi.org/10.1016/j.knosys.2020.105785.

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Liu, Julie Yu-Chih. "Lossless Join Decomposition for Extended Possibility-Based Fuzzy Relational Databases." Journal of Applied Mathematics 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/842680.

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Functional dependency is the basis of database normalization. Various types of fuzzy functional dependencies have been proposed for fuzzy relational database and applied to the process of database normalization. However, the problem of achieving lossless join decomposition occurs when employing the fuzzy functional dependencies to database normalization in an extended possibility-based fuzzy data models. To resolve the problem, this study defined fuzzy functional dependency based on a notion of approximate equality for extended possibility-based fuzzy relational databases. Examples show that t

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Yager, Ronald R. "Concept Representation and Database Structures in Fuzzy Social Relational Networks." IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 40, no. 2 (2010): 413–19. http://dx.doi.org/10.1109/tsmca.2009.2036591.

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Li, Lan Yun, Zhuan Zhao Yang, and Zhi He. "Research on Fault Recognition for Centrifugal Compressor Based on Fuzzy Gray Relational Grade." Applied Mechanics and Materials 26-28 (June 2010): 71–76. http://dx.doi.org/10.4028/www.scientific.net/amm.26-28.71.

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In practical centrifugal compressor fault diagnosis, it is very difficult to improve the fault recognition rate, especially when the sample sizes are small. To solve this problem, a new fault recognition method based on fuzzy gray relational grade was proposed. Firstly, according to fuzzy set theory, the fuzzy relation coefficient (FRC), fuzzy relation degree (FRD) and fuzzy relative weights (FRW) of all fault features were calculated. Secondly, the gray system theory was used to obtain the gray relational coefficients (GRC). Thirdly, by combining FRW and GRC, two fuzzy gray relation grades (F

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JU, Zhe, and Qingbao ZHANG. "Intuitionistic Fuzzy SVM based on Kernel Gray Relational Analysis." Proceedings of the Romanian Academy, Series A: Mathematics, Physics, Technical Sciences, Information Science 25, no. 4 (2024): 359–70. https://doi.org/10.59277/pra-ser.a.25.4.12.

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Fuzzy Support Vector Machine (FSVM) is a machine learning algorithm that combines fuzzy logic with Support Vector Machine (SVM) to deal with the uncertainty and fuzziness in classification and regression problems. This algorithm improves the performance of traditional SVM by introducing fuzzy membership degrees, making it more robust when handling datasets with noise or uncertainty. Although the existing FSVM algorithms can overcome the influence of noise to a certain extent, they cannot effectively distinguish outliers or abnormal values from boundary support vectors. To solve this problem, t

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Sahu, Anoop Kumar, Atul Kumar Sahu, and Nitin Kumar Sahu. "Appraisements of material handling system in context of fiscal and environment extent." International Journal of Logistics Management 28, no. 1 (2017): 2–28. http://dx.doi.org/10.1108/ijlm-09-2015-0163.

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Purpose In present research, the authors conducted the massive literature review and collected the information, in regards to material handling system (MHS) to build a multi criteria MHS hierarchical module consists of ecological cum fiscal criteria. Moreover, similar literature review assisted the authors to resolve and eventually construct the effectual and robust approach. The purpose of this paper is to facilitate the managers for benchmarking the MHS alternatives operating under similar module via robust decision support system (DSS). Design/methodology/approach In present research, the p

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Vuong, Le Tien. "On the application of fuzzy set theory in relational database." Journal of Computer Science and Cybernetics 1, no. 4 (2015): 10–15. http://dx.doi.org/10.15625/1813-9663/1/4/6699.

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In this paper, we introduced a model of retrieval system based on the theory of fuzzy sets in which we constructed a suitable storage structure with incomplete inverted files (they contain even some incomplete inverted files for a collection of fuzzy data of database). In this concept, we introduced a method for fuzzy query processing in the system and shown some retrieval strategies. The general response system was also defined and the ability of these strategies was investigated.

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Bhawana, Gautam, Preeti Bala Dr., and Srivastava Harsh. "KEY CONCEPT AND ANALYSIS OF RELATIONAL ALGEBRA." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 4, no. 9 (2017): 1–10. https://doi.org/10.5281/zenodo.857430.

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This paper represents the concept of keys and relational algebra in database management system. Basically key is an attribute that is able to identify the records in given relation uniquely. Relational algebra is procedural query language. It takes instance of relations as an input and gives the desired output in form of relation. For evaluating desired output there may be several queries in relational algebra but based on record comparisons and block retrievals efficiency of query is calculated and after identifying efficient query, that query is applied to find out the desired set of records

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Pakkar, Mohammad Sadegh. "An integrated approach to grey relational analysis, analytic hierarchy process and data envelopment analysis." Journal of Centrum Cathedra 9, no. 1 (2016): 71–86. http://dx.doi.org/10.1108/jcc-08-2016-0005.

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Purpose This paper aims to propose an integration of the analytic hierarchy process (AHP) and data envelopment analysis (DEA) methods in a multiattribute grey relational analysis (GRA) methodology in which the attribute weights are completely unknown and the attribute values take the form of fuzzy numbers. Design/methodology/approach This research has been organized to proceed along the following steps: computing the grey relational coefficients for alternatives with respect to each attribute using a fuzzy GRA methodology. Grey relational coefficients provide the required (output) data for add

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Bartl, Eduard, and Jan Konecny. "Rough Fuzzy Concept Analysis." Fundamenta Informaticae 156, no. 2 (2017): 141–68. http://dx.doi.org/10.3233/fi-2017-1601.

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Guan, Xin, Guidong Sun, Xiao Yi, and Jing Zhao. "Grey Relational Analysis for Hesitant Fuzzy Sets and Its Applications to Multiattribute Decision-Making." Mathematical Problems in Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/7436054.

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Due to the superiority in expressing the uncertain and vague information, the hesitant fuzzy set (HFS) is regarded as an important tool to deal with multiattribute decision-making (MADM) problems. Quantitative and qualitative fuzzy measures have been proposed to solve such problems from different points. However, most of the existing information measures for HFSs are related to such fuzzy measures as distance, similarity, entropy, and correlation coefficients. The grey relational analysis is omitted. Besides, the existing grey relational analysis for HFSs only considers the range or distance b

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