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Journal articles on the topic 'Fuzzy subsets/Fuzzy logic'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Onasanya, B. O., та S. Hoskova-Mayerova. "Some Topological and Algebraic Properties of α-level Subsets’ Topology of a Fuzzy Subset". Analele Universitatii "Ovidius" Constanta - Seria Matematica 26, № 3 (2018): 213–28. http://dx.doi.org/10.2478/auom-2018-0042.

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AbstractThe theory of fuzzy sets, since its foundation, has advanced in a wide range of means and in many fields. One of the areas to which fuzzy set theory has been applied extensively is mathematical programming. Nevertheless, the applications of fuzzy theory can be found in e.g. logic, decision theory, artificial intelligence, computer science, control engineering, expert systems, management science, operations research, robotics, and others. Theoretical improvements have been made in many directions. Nowadays it has a lot of applications also on possibility theory, actuarial credibility th

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Fernández, M. J., F. Suárez, and P. Gil. "Equations of fuzzy relations defined on fuzzy subsets." Fuzzy Sets and Systems 52, no. 3 (1992): 319–36. http://dx.doi.org/10.1016/0165-0114(92)90240-5.

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3

Mukerjee, Rahul. "Some observations on fuzzy relations over fuzzy subsets." Fuzzy Sets and Systems 15, no. 3 (1985): 249–54. http://dx.doi.org/10.1016/0165-0114(85)90018-1.

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4

Rajesh, Neelamegarajan, Tahsin Oner, Aiyared Iampan, and I. Senturk. "On Length and Mean Fuzzy Ideals of Sheffer Stroke Hilbert Algebras." European Journal of Pure and Applied Mathematics 18, no. 1 (2025): 5779. https://doi.org/10.29020/nybg.ejpam.v18i1.5779.

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This paper presents a detailed exploration of Sheffer stroke Hilbert algebras, introducing the innovative concepts of length fuzzy ideals and mean fuzzy ideals within an interval-valued fuzzy framework. These new constructs extend classical ideal theory by incorporating fuzzy logic, providing precise mathematical tools to analyze and measure membership gradations. Specifically, the study establishes critical relationships between length fuzzy ideals and mean fuzzy ideals, their hierarchical subsets, and their implications for algebraic consistency and computational logic. Key findings demonstr

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5

Biacino, Loredana, and Giangiacomo Gerla. "Fuzzy subsets: A constructive approach." Fuzzy Sets and Systems 45, no. 2 (1992): 161–68. http://dx.doi.org/10.1016/0165-0114(92)90115-k.

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6

Wygralak, Maciej. "Fuzzy cardinals based on the generalized equality of fuzzy subsets." Fuzzy Sets and Systems 18, no. 2 (1986): 143–58. http://dx.doi.org/10.1016/0165-0114(86)90017-5.

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7

Hajighorbani, Shahrooz, M. A. M. Radzi, M. Z. A. Ab Kadir, S. Shafie, Razieh Khanaki, and M. R. Maghami. "Evaluation of Fuzzy Logic Subsets Effects on Maximum Power Point Tracking for Photovoltaic System." International Journal of Photoenergy 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/719126.

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Photovoltaic system (PV) has nonlinear characteristics which are affected by changing the climate conditions and, in these characteristics, there is an operating point in which the maximum available power of PV is obtained. Fuzzy logic controller (FLC) is the artificial intelligent based maximum power point tracking (MPPT) method for obtaining the maximum power point (MPP). In this method, defining the logical rule and specific range of membership function has the significant effect on achieving the best and desirable results. This paper presents a detailed comparative survey of five general a

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Gunjan, Manish Kumar, Amal Kumar Adak, and Davood Darvishi Salookolaei. "Fermatean Fuzzy Artinian and Noetherian Rings." Asian Research Journal of Mathematics 21, no. 5 (2025): 179–90. https://doi.org/10.9734/arjom/2025/v21i5933.

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This paper introduces and investigates the concepts of Fermatean fuzzy Artinian and Noetherian rings,extending classical ring-theoretic chain conditions into the framework of Fermatean fuzzy logic. We define Fermatean fuzzy left ideals and characterize the notions of Fermatean fuzzy left Artinian and Noetherian rings via descending and ascending chain conditions, respectively. We establish several structural properties, including the behavior of Fermatean fuzzy level subsets under ring homomorphisms, and the finiteness of the image sets of membership and non-membership degrees in Fermatean fuz

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Mawanda, Mbila-Mambu. "Representability of a fuzzy predicate from a category with fuzzy subsets." Fuzzy Sets and Systems 46, no. 1 (1992): 63–71. http://dx.doi.org/10.1016/0165-0114(92)90267-8.

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10

Dumitrescu, Catalin, Petrica Ciotirnae, and Constantin Vizitiu. "Fuzzy Logic for Intelligent Control System Using Soft Computing Applications." Sensors 21, no. 8 (2021): 2617. http://dx.doi.org/10.3390/s21082617.

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When considering the concept of distributed intelligent control, three types of components can be defined: (i) fuzzy sensors which provide a representation of measurements as fuzzy subsets, (ii) fuzzy actuators which can operate in the real world based on the fuzzy subsets they receive, and, (iii) the fuzzy components of the inference. As a result, these elements generate new fuzzy subsets from the fuzzy elements that were previously used. The purpose of this article is to define the elements of an interoperable technology Fuzzy Applied Cell Control-soft computing language for the development

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11

Murali, V. "Combinatorics of counting finite fuzzy subsets." Fuzzy Sets and Systems 157, no. 17 (2006): 2403–11. http://dx.doi.org/10.1016/j.fss.2006.03.005.

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12

Ali, Abdualmtalab, Usama Heneash, Amgad Hussein, and Mohamed Eskebi. "Predicting Pavement Condition Index Using Fuzzy Logic Technique." Infrastructures 7, no. 7 (2022): 91. http://dx.doi.org/10.3390/infrastructures7070091.

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The fuzzy logic technique is one of the effective approaches for evaluating flexible and rigid pavement distress. The process of classifying pavement distress is usually performed by visual inspection of the pavement surface or using data collected by automated distress measurement equipment. Fuzzy mathematics provides a convenient tool for incorporating subjective analysis, uncertainty in pavement condition index, and maintenance-needs assessment, and can greatly improve consistency and reduce subjectivity in this process. This paper aims to develop a fuzzy logic-based system of pavement cond

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13

Zhang, Dexue. "Implication structures, fuzzy subsets, and enriched categories." Fuzzy Sets and Systems 161, no. 9 (2010): 1205–23. http://dx.doi.org/10.1016/j.fss.2009.09.014.

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14

Diamond, Phil, and Peter Kloeden. "Characterization of compact subsets of fuzzy sets." Fuzzy Sets and Systems 29, no. 3 (1989): 341–48. http://dx.doi.org/10.1016/0165-0114(89)90045-6.

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15

Antoni, Lubomir, Stanislav Krajči, and Ondrej Krídlo. "Representation of fuzzy subsets by Galois connections." Fuzzy Sets and Systems 326 (November 2017): 52–68. http://dx.doi.org/10.1016/j.fss.2017.05.020.

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16

Eklund, Patrik, Jari Kortelainen, and Magnus Löfstrand. "Quantales for Fuzzy Sets and Relations of Higher Types." Mathematics 13, no. 13 (2025): 2159. https://doi.org/10.3390/math13132159.

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In this paper, we open up more possibilities to define higher types of fuzzy sets in a mixed way. In doing so, we show that there are essentially two alternative definitions for fuzzy sets of higher types, one of which is widely adopted in the literature, and one where the unit interval, or subsets thereof, is used to represent membership values. The other alternative definition opens up new perspectives for the use of fuzzy sets of higher types, and it promotes the use of other algebraic structures of sets of membership values, where quantales are seen as particularly useful, also in applicat

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17

MEEHAN, GARY, and MIKE JOY. "Animated fuzzy logic." Journal of Functional Programming 8, no. 5 (1998): 503–25. http://dx.doi.org/10.1017/s0956796898003177.

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In this paper we aim to give an introduction to fuzzy logic using the language Haskell to implement our solutions. We shall see how the high-level, declarative nature of a functional language allows us to implement easily and efficiently solutions to problems using fuzzy logic and, in particular, how the presence of functions as first-class values allows us to model the key concept of the fuzzy subset in a natural way.

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18

Heilpern, Stanislaw. "Fuzzy subsets of the space of probability measures and expected value of fuzzy variable." Fuzzy Sets and Systems 54, no. 3 (1993): 301–9. http://dx.doi.org/10.1016/0165-0114(93)90376-s.

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19

Gupta, Aman, Shilpa Pal, and Alok Verma. "Fuzzy Logic Approach in Determination of Strength in Concrete." INTERNATIONAL JOURNAL OF ADVANCED PRODUCTION AND INDUSTRIAL ENGINEERING 3, no. 1 (2018): 39–47. http://dx.doi.org/10.35121/ijapie201801129.

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The aim of this thesis is to address capabilities in the prediction of compressive strength of concrete to affect quality control in construction. To comprehend this, a compressive strength predicting model using the principles of fuzzy logic set theory had been employed. The model put into use ‘fuzzy logic’ as a tool to predict the compressive strength of concrete on a given day. Data collected from previous researches and laboratory work had been put into use in the model construction and testing. The input variables of water/binder ratio, cement content, water content, and fly ash percentag

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Arulmurugan, R., N. Sivakumar, and E. Baraneetharan. "Analysis of interleaved fuzzy Logic MPPT approach for PV system." Journal of Physics: Conference Series 2570, no. 1 (2023): 012002. http://dx.doi.org/10.1088/1742-6596/2570/1/012002.

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Abstract In this article, a detailed novel interleaved fuzzy logic control based Maximum Power Point Algorithm was designed. It was derived from the conventional hill climbing method, which is used to track solar Photo Voltaic (PV) systems over changing temperature and irradiance. The proposed system composed of the PV panel source, Maximum Power Point Tracking (MPPT) with designed interleaved Fuzzy Logic controller, DC to DC charge controller, and load. The designed fuzzy logic controller contains the two fuzzy subsets, one fuzzy concentrate the change in power with respect to change in volta

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21

Gupta, K. C., and Manoj K. Kantroo. "The intrinsic product of fuzzy subsets of a ring." Fuzzy Sets and Systems 57, no. 1 (1993): 103–10. http://dx.doi.org/10.1016/0165-0114(93)90123-y.

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22

Bortolan, G., and R. Degani. "A review of some methods for ranking fuzzy subsets." Fuzzy Sets and Systems 15, no. 1 (1985): 1–19. http://dx.doi.org/10.1016/0165-0114(85)90012-0.

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23

Dubois, Didier, Jérôme Lang, and Henri Prade. "Timed Possibilistic Logic." Fundamenta Informaticae 15, no. 3-4 (1991): 211–34. http://dx.doi.org/10.3233/fi-1991-153-403.

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This paper is an attempt to cast both uncertainty and time in a logical framework. It generalizes possibilistic logic, previously developed by the authors, where each classical formula is associated with a weight which obeys the laws of possibility theory. In the possibilistic temporal logic we present here, each formula is associated with a time set (a fuzzy set in the more general case) which represents the set of instants where the formula is certainly true (more or less certainly true in the general case). When a particular instant is fixed we recover possibilistic logic. Timed possibilist

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24

Purvinis, O., R. Virbickaitė, and P. Šukys. "Interpretable Nonlinear Model for Enterprise Bankruptcy Prediction." Nonlinear Analysis: Modelling and Control 13, no. 1 (2008): 61–70. http://dx.doi.org/10.15388/na.2008.13.1.14589.

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The aim of this research was to model bankruptcy dependency of Lithuanian enterprises on their financial ratios and its dynamics over time by the integration of artificial neural networks and fuzzy logic technology using Adaptive Network – based Fuzzy Inference System (ANFIS). We used data from financial reports for three years’ of 230 Lithuanian going and failed enterprises. Input variables used for the ANFIS model training and testing composed of 13 financial ratios of the last year before bankruptcy and 13 variables characterizing changes of that ratios over time. It was checked 1716 subset

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25

Bošnjak, I., and R. Madarász. "Remarks on the lattices of fuzzy subsets of a groupoid." Fuzzy Sets and Systems 160, no. 20 (2009): 3007–12. http://dx.doi.org/10.1016/j.fss.2009.04.008.

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26

Li, Ye, Xiao Liu, Zhenliang Yang, et al. "Prediction Model for Geologically Complicated Fault Structure Based on Artificial Neural Network and Fuzzy Logic." Scientific Programming 2022 (March 10, 2022): 1–12. http://dx.doi.org/10.1155/2022/2630953.

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The development and distribution of geologically complicated fault structure have the characteristics of uncertainty, randomness, ambiguity, and variability. Therefore, the prediction of complicated fault structures is a typical nonlinear problem. Neither fuzzy logic method nor artificial neural network alone can solve this problem well because the fuzzy method is generally not easy to realize adaptive learning function, and the neural network method is not suitable for describing sedimentary microfacies or geophysical facies. Therefore, taking the marginal subsags in the Jiyang Depression, Ea

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27

PAPATHEOCHAROUS, EFI, and ANDREAS S. ANDREOU. "A HYBRID SOFTWARE COST ESTIMATION APPROACH UTILIZING DECISION TREES AND FUZZY LOGIC." International Journal of Software Engineering and Knowledge Engineering 22, no. 03 (2012): 435–65. http://dx.doi.org/10.1142/s0218194012500106.

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Software cost estimation (SCE) is one of the critical activities in software project management. During the past decades various models have been proposed for SCE. However, developing accurate and useful models is limited in practice despite the considerable financial gain they could offer to software stakeholders. Traditional techniques, such as regression, by-analogy and machine learning, face the difficulty of handling the dynamic nature of the software process and the problematic nature of the public data available. This paper addresses the issue of SCE proposing an alternative approach th

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SHIN, C. Y., and PAUL P. WANG. "ECONOMIC APPLICATIONS OF FUZZY SUBSET THEORY AND FUZZY LOGIC: A BRIEF SURVEY." New Mathematics and Natural Computation 06, no. 03 (2010): 301–20. http://dx.doi.org/10.1142/s1793005710001773.

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Traditional mathematics is the language of precision. Statements are either true or false. But, in reality there are few things that are truly simply true or false. Life is full of shades of grey. Capturing these shades of grey has been problematic using traditional mathematics. Mathematics can model the uncertainty itself but rarely incorporates it into the model. However, an emerging area of mathematical inquiry known as the mathematics of uncertainty seeks to overcome some of these problems by integrating the uncertainly, the shades of grey, directly into the model. Fuzzy theory is one of t

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Lambovska, Mayа. "A Model for control on teams." Economic Thought journal 63, no. 2 (2018): 3–19. http://dx.doi.org/10.56497/etj1863201.

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This paper presents an original model for control on teams based on the classical and contemporary achievements of a number of management and mathematical theories. The model combines fuzzy techniques and tools from the theory of confidence intervals, the theory of fuzzy subsets and the theory of fuzzy logic. They are used for evaluation, quantification of qualitative evaluations/ forecasts, decision making, exploration of mutual and hidden effects. The specificity of the model finds expression primarily in the way by which team performance is understood and evaluated. The evaluation procedure

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30

Gabriel, Rodrigue BILOA. "The Use of Fuzzy Logic to Measure Multidimensional Poverty in Cameroon." Journal of Economics, Finance And Management Studies 5, no. 08 (2022): 2098–112. https://doi.org/10.5281/zenodo.6961973.

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The protean nature of poverty does not make it easy to understand, as it is a concept that can be seen from several angles (sociological, anthropological and economic). However, the aim of this paper is to provide a measure of multidimensional poverty in Cameroon. In other words, to make a multidimensional analysis of poverty. To achieve this, the fuzzy logic approach of Lotfi Zadeh (1965) would be ideal, as it appears to be the appropriate tool for specifying such vague concepts as poverty. Using the third Cameroonian household survey (ECAM3), we were able to identify the different poverty gr

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Gerla, Giangiacomo. "Effectiveness and multivalued logics." Journal of Symbolic Logic 71, no. 1 (2006): 137–62. http://dx.doi.org/10.2178/jsl/1140641166.

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AbstractEffective domain theory is applied to fuzzy logic. The aim is to give suitable notions of semi-decidable and decidable L-subset and to investigate about the effectiveness of the fuzzy deduction apparatus.

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Mukhamedieva, Dilnoz, Shakhzod Bakhtiyorov, Kamal Alimbaev, and Behzod Salohiddinov. "Development of a fuzzy logical model of Sugeno for the classification of grain varieties." InterConf, no. 43(193) (March 20, 2024): 509–16. http://dx.doi.org/10.51582/interconf.19-20.03.2024.049.

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Ambiguity and fuzziness are characteristic of many real-life situations, including the classification of objects based on their characteristics. In this context, fuzzy logic is a powerful tool for modeling uncertainty and making decisions under fuzzy conditions. The Sugeno model, a subset of fuzzy logic, offers a simple and effective approach to constructing rule-based control and classification systems based on linguistic variables. This paper explores the application of the Sugeno model to classify grain varieties based on their characteristics. For this purpose, a data set containing inform

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Chen, D. G. "Detecting environmental regimes in fish stock-recruitment relationships by fuzzy logic." Canadian Journal of Fisheries and Aquatic Sciences 58, no. 11 (2001): 2139–48. http://dx.doi.org/10.1139/f01-155.

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A fuzzy logic approach is developed to model and test the impact of environmental regimes on fish stockrecruitment relationships. Traditional methods use environmental variables to classify stockrecruitment data into different membership percentiles followed by fitting the stockrecruitment models for each subset. In contrast, the fuzzy logic approach uses a continuous membership function to provide a rational basis for the classification. Thus, parameter estimation is based on a more logically consistent foundation without resorting to subjective partitions. This new approach is applied to

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Hernández-Varela, Pablo, Francisco Javier Talavera, Susana Cubillo, Carmen Torres-Blanc, and Jorge Elorza. "Definition of Triangular Norms and Triangular Conorms on Subfamilies of Type-2 Fuzzy Sets." Axioms 14, no. 1 (2024): 27. https://doi.org/10.3390/axioms14010027.

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In certain stages of the application of a type-2 fuzzy logic system, it is necessary to perform operations between input or output fuzzy variables in order to compute the union, intersection, aggregation, complement, and so forth. In this context, operators that satisfy the axioms of t-norms and t-conorms are of particular significance, as they are applied to model intersection and union, respectively. Furthermore, the existence of a range of these operators allows for the selection of the t-norm or t-conorm that offers the optimal performance, in accordance with the specific context of the sy

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Vrba, Josef, and Ywetta Purová. "A hybrid form of fuzzy-logic controller." Collection of Czechoslovak Chemical Communications 55, no. 4 (1990): 964–80. http://dx.doi.org/10.1135/cccc19900964.

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A hybrid form of a fuzzy-logic controller with linguistic and numerical variables and fuzzy subset as their common quantifier is presented. It is typical for the controller that the role of conditional statements of its linguistic model is optionally combined with a set of numerical parameters. The statements are automatically generated according to the given state of the system under control, it brings the necessary feature of adaptivity and self-tuning ability. The efficiency of the controller is checked on a set of simulated systems and a real one with pH control as well.

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36

Mardanov, M. J., R. R. Rzayev, and P. E. Alizadeh. "On one approach to data fuzzification on the example of the Dow-Jones Index time series." Mathematical machines and systems 2 (2020): 3–13. http://dx.doi.org/10.34121/1028-9763-2020-2-3-13.

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The nature of weakly structured systems is specified by using of expert estimates, the inherent uncertainty of which belongs to the fuzzy class. Unlike stochastic uncertainty, fuzziness complicates or even eliminates the use of statistical methods and models, but can be used to make subject-oriented decisions based on approximate reasoning of a person. The formalization of intellectual operations simulating fuzzy human statements about the state and behavior of weakly structured systems and/or complex phenomena today forms an independent direction of scientific and applied researches, one of w

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Sivamma, P., and P. V. K. Jagannadha Rao. "Fuzzy Logic for Sensory Evaluation of Paper Sweet (Pootharekulu)." International Journal of Bio-resource and Stress Management 14, Nov, 11 (2023): 1487–94. http://dx.doi.org/10.23910/1.2023.4867a.

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The present study was conducted at Atreypuramu, East Godavari district, Andhra Pradesh, India during June-August, 2022 with the preparation of paper sweet variants followed by fuzzy logic sensory analysis. Initially, polished/milled Jaya variety rice soaked, ground with water and made into batter. The batter without any coarse particles diluted in separate flat containers. Then, a thin cotton cloth was dipped in the diluted batter and spread over the hot curved surface of inverted pot almost maintained at 120–135°C. This structures the paper-thin external front of the sweet. The size of produc

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38

Arkhipova, Anastasiya, and Pavel Polyakov. "Methodology for constructing a neural fuzzy network in the field of information security." Digital technology security, no. 3 (September 30, 2021): 43–56. http://dx.doi.org/10.17212/2782-2230-2021-3-43-56.

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This paper proposes the use of hybrid models based on neural networks and fuzzy systems to build intelligent intrusion detection systems based on the theory of fuzzy rules. The presented system will be able to generate rules based on the results using fuzzy logic neurons. To avoid oversaturation and assist in determining the necessary network topology, training models based on extreme learning machine and regularization theory will be used to find the most significant neurons. In this paper, a type of SQL injection cyberattack is considered, which actively exploits errors in systems that commu

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Davvaz, B. "Structure and order: A concise overview of ordered semi(hyper)groups." Quarterly Journal of Research and Planning in Higher Education 6, no. 1 (2025): 111–46. https://doi.org/10.61838/kman.jahla.6.1.9.

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This paper explores a hierarchy of algebraic structures beginning with ordered semigroups and extending through their generalizations and fuzzifications. An ordered semigroup is a semigroup equipped with a partial order that is compatible with its binary operation. Building on this foundation, we investigate fuzzy ideals within ordered semigroups, where fuzzy set theory introduces gradation and uncertainty into ideal theory. We then extend the framework to ordered semihypergroups, where the binary operation is replaced by a hyperoperation mapping element pair to subsets, allowing the modeling

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Lano, K. "Intuitionistic modal logic and set theory." Journal of Symbolic Logic 56, no. 2 (1991): 497–516. http://dx.doi.org/10.2307/2274696.

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The mathematical treatment of the concepts of vagueness and approximation is of increasing importance in artificial intelligence and related research. The theory of fuzzy sets was created by Zadeh [Z] to allow representation and mathematical manipulation of situations of partial truth, and proceeding from this a large amount of theoretical and applied development of this concept has occurred. The aim of this paper is to develop a natural logic and set theory that is a candidate for the formalisation of the theory of fuzzy sets. In these theories the underlying logic of properties and sets is i

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Ling, Ashley, El Hamidi Hay, Samuel E. Aggrey, and Romdhane Rekaya. "Fuzzy Logic as a Strategy for Combining Marker Statistics to Optimize Preselection of High-Density and Sequence Genotype Data." Genes 13, no. 11 (2022): 2100. http://dx.doi.org/10.3390/genes13112100.

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The high dimensionality of genotype data available for genomic evaluations has presented a motivation for developing strategies to identify subsets of markers capable of increasing the accuracy of predictions compared to the current commercial single nucleotide polymorphism (SNP) chips. In this simulation study, an algorithm for combining statistics used in the preselection and prioritization of SNP markers from a high-density panel (1.3 million SNPs) into a composite “fuzzy” ranking score based on a Sugeno-type fuzzy inference system (FIS) was developed and evaluated for performance in presel

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42

Vrba, Josef, and Ywetta Purová. "A contribution to the identification in fuzzy-logic control." Collection of Czechoslovak Chemical Communications 55, no. 4 (1990): 951–63. http://dx.doi.org/10.1135/cccc19900951.

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A linguistic identification of a system controlled by a fuzzy-logic controller is presented. The information about the behaviour of the system, concentrated in time-series, is analyzed from the point of its description by linguistic variable and fuzzy subset as its quantifier. The partial input/output relation and its strength is expressed by a sort of correlation tables and coefficients. The principles of automatic generation of model statements are presented as well.

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Baeza Serrato, Roberto. "Stochastic plans in SMEs: A novel multidimensional fuzzy logic system (mFLS) approach." Ingeniería e Investigación 38, no. 2 (2018): 70–78. http://dx.doi.org/10.15446/ing.investig.v38n2.65357.

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Manufacturing planning in small and medium enterprises (SMEs) uses a deterministic behavior, and the execution of these plans has a stochastic behavior. The evaluation of the manufacturing planning is based on a simple criterion as job on time or job delayed, without integrating conditions of uncertainty in the cycle times for each job. The aim of this paper is to propose a novel multidimensional stochastic Fuzzy Logic System (msFLS) approach to execute a plan with stochastic behavior in knitting SMEs and their evaluation. In this paper, two main contributions are identified. On one hand, the

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Hrabarev, Andrii, Olga Mozgalli, and Mykhailo Baraniuk. "MATHEMATICAL METHODS AND INFORMATION TECHNOLOGIES IN BANKING." Scientific Notes of Ostroh Academy National University, "Economics" Series 1, no. 32(60) (2024): 122–27. http://dx.doi.org/10.25264/2311-5149-2024-32(60)-122-127.

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The article explores decision-making information technologies in the banking sector utilizing mathematical methods. It delves into the optimal management decision-making tasks and presents a classification of decision support methods used within the banking industry. The study considers methods from fuzzy logic theory and inductive modeling, along with approaches to linguistic terms and the creation of fuzzy knowledge sets for decision-making and choice problems in banking. To simplify complex decision-making problems, strategies such as problem decomposition into simpler subsets, altering the

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De Andrés-Sánchez, Jorge. "Fitting Insurance Claim Reserves with Two-Way ANOVA and Intuitionistic Fuzzy Regression." Axioms 13, no. 3 (2024): 184. http://dx.doi.org/10.3390/axioms13030184.

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A highly relevant topic in the actuarial literature is so-called “claim reserving” or “loss reserving”, which involves estimating reserves to be provisioned for pending claims, as they can be deferred over various periods. This explains the proliferation of methods that aim to estimate these reserves and their variability. Regression methods are widely used in this setting. If we model error terms as random variables, the variability of provisions can consequently be modelled stochastically. The use of fuzzy regression methods also allows modelling uncertainty for reserve values using tools fr

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Dubois, Didier, and Henri Prade. "Inconsistency Management from the Standpoint of Possibilistic Logic." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 23, Suppl. 1 (2015): 15–30. http://dx.doi.org/10.1142/s0218488515400024.

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Uncertainty and inconsistency pervade human knowledge. Possibilistic logic, where propositional logic formulas are associated with lower bounds of a necessity measure, handles uncertainty in the setting of possibility theory. Moreover, central in standard possibilistic logic is the notion of inconsistency level of a possibilistic logic base, closely related to the notion of consistency degree of two fuzzy sets introduced by L. A. Zadeh. Formulas whose weight is strictly above this inconsistency level constitute a sub-base free of any inconsistency. However, several extensions, allowing for a p

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Valvis, Emmanuel. "A new linear ordering of fuzzy numbers on subsets of $${{\mathcal F}({\pmb{\mathbb{R}}}})$$." Fuzzy Optimization and Decision Making 8, no. 2 (2009): 141–63. http://dx.doi.org/10.1007/s10700-009-9057-2.

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Glover, Natasha M., Adrian Altenhoff, and Christophe Dessimoz. "Assigning confidence scores to homoeologs using fuzzy logic." PeerJ 6 (January 11, 2019): e6231. http://dx.doi.org/10.7717/peerj.6231.

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In polyploid genomes, homoeologs are a specific subtype of homologs, and can be thought of as orthologs between subgenomes. In Orthologous MAtrix, we infer homoeologs in three polyploid plant species: upland cotton (Gossypium hirsutum), rapeseed (Brassica napus), and bread wheat (Triticum aestivum). While we can typically recognize the features of a “good” homoeolog prediction (a consistent evolutionary distance, high synteny, and a one-to-one relationship), none of them is a hard-fast criterion. We devised a novel fuzzy logic-based method to assign confidence scores to each pair of predicted

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Alzukrah, Muna A., and Yosof M. Khalifa. "The Prediction of Solar Radiation for Five Meteorological Stations in Libya Using Adaptive Neuro-Fuzzy Inference System (ANFIS)." Solar Energy and Sustainable Development Journal 5, no. 2 (2016): 44–52. http://dx.doi.org/10.51646/jsesd.v5i2.64.

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The prediction of solar radiation is a very important tool in climatology, hydrology, and energy applications, as it permits estimating solar data for locations where measurements are not available. In this paper, an adaptive neuro-fuzzy inference system -ANFIS- is presented to predict the monthly global solar radiation on a horizontal surface in Libya. The real meteorological solar radiation data from 5 stations for the period of 1982 - 2009 with different latitudes and longitudes were used in the current study. The data set is divided into two subsets; the first is used for training and the

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Andersands F. Chaves, José, and Gabriel F. da Silva. "Neuro-FuzzyPID flow control logic for subsea oil wells for FPSO processing." Revista de Ciencia y Tecnología, no. 42 (December 10, 2024): 7–17. https://doi.org/10.36995/j.recyt.2024.42.001.

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Bearing in mind that emerging underwater oil wells around the world operate with fixed choke valve opening and manual activation, we saw the opportunity to automate this item in order to guarantee better productivity for the process. This article shows how a closed-loop Neuro-Fuzzy-PID control logic was designed to control the production of emerging subsea oil wells in order to maintain continuous power supply to the platform’s treatment process and correct disturbances. For this, an artificial neural network was created that resulted in the behavior of the wells depending on the opening of th

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