Log in

Relevant bibliographies by topics / Fuzzy logic. Fuzzy sets. Fuzzy systems / Journal articles

To see the other types of publications on this topic, follow the link: Fuzzy logic. Fuzzy sets. Fuzzy systems.

Journal articles on the topic 'Fuzzy logic. Fuzzy sets. Fuzzy systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Fuzzy logic. Fuzzy sets. Fuzzy systems.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Chen,, Guanrong, Trung Tat Pham,, and NM Boustany,. "Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems." Applied Mechanics Reviews 54, no. 6 (2001): B102—B103. http://dx.doi.org/10.1115/1.1421114.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

NOVÁK, VILÉM. "FUZZY LOGIC, FUZZY SETS, AND NATURAL LANGUAGES." International Journal of General Systems 20, no. 1 (1991): 83–97. http://dx.doi.org/10.1080/03081079108945017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

PAPADOPOULOS, BASIL K., and APOSTOLOS SYROPOULOS. "FUZZY SETS AND FUZZY RELATIONAL STRUCTURES AS CHU SPACES." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 08, no. 04 (2000): 471–79. http://dx.doi.org/10.1142/s0218488500000319.

Full text

Abstract:

Chu spaces, which derive from the Chu construct of *-autonomous categories, can be used to represent most mathematical structures. Moreover, the logic of Chu spaces is linear logic. Most efforts to incorporate fuzzy set theory into the realm of linear logic are based on the assumption that fuzzy and linear negation are identical operations. We propose an incorporation based on the opposite assumption and we provide an interpretation of some linear connectives. Furthermore, we show that it is possible to represent any fuzzy relational structure as a Chu space by means of the functor G.

APA, Harvard, Vancouver, ISO, and other styles

4

Azar, Ahmad Taher. "Overview of Type-2 Fuzzy Logic Systems." International Journal of Fuzzy System Applications 2, no. 4 (2012): 1–28. http://dx.doi.org/10.4018/ijfsa.2012100101.

Full text

Abstract:

Fuzzy set theory has been proposed as a means for modeling the vagueness in complex systems. Fuzzy systems usually employ type-1 fuzzy sets, representing uncertainty by numbers in the range [0, 1]. Despite commercial success of fuzzy logic, a type-1 fuzzy set (T1FS) does not capture uncertainty in its manifestations when it arises from vagueness in the shape of the membership function. Such uncertainties need to be depicted by fuzzy sets that have blur boundaries. The imprecise boundaries of a type-2 fuzzy set (T2FS) give rise to truth/membership values that are fuzzy sets in [0], [1], instead

APA, Harvard, Vancouver, ISO, and other styles

5

Sabahi, Farnaz, and Mohammad Reza Akbarzadeh-T. "Extended Fuzzy Logic: Sets and Systems." IEEE Transactions on Fuzzy Systems 24, no. 3 (2016): 530–43. http://dx.doi.org/10.1109/tfuzz.2015.2453994.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

HOMENDA, WLADYSLAW, and WITOLD PEDRYCZ. "BALANCED FUZZY COMPUTING UNIT." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 13, no. 02 (2005): 117–38. http://dx.doi.org/10.1142/s0218488505003357.

Full text

Abstract:

We introduce and study a new concept of fuzzy computing units. This construct is is aimed at coping with "negative" (inhibitory) information and accommodating it in the language of fuzzy sets. The essential concept developed in this study deals with computing units exploiting the concept of balanced fuzzy sets. We recall how the membership notion of fuzzy sets can be extended to the [-1,1] range giving rise to balanced fuzzy sets and then summarize properties of augmented (extended) logic operations for these constructs. We show that this idea is particularly appealing in neurocomputing as the

APA, Harvard, Vancouver, ISO, and other styles

7

Guo, Lankun, Guo-Qiang Zhang, and Qingguo Li. "Fuzzy closure systems onL-ordered sets." Mathematical Logic Quarterly 57, no. 3 (2011): 281–91. http://dx.doi.org/10.1002/malq.201010007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Niewiadomski, A., and M. Kacprowicz. "Higher order fuzzy logic in controlling selective catalytic reduction systems." Bulletin of the Polish Academy of Sciences Technical Sciences 62, no. 4 (2014): 743–50. http://dx.doi.org/10.2478/bpasts-2014-0080.

Full text

Abstract:

Abstract This paper presents research on applications of fuzzy logic and higher-order fuzzy logic systems to control filters reducing air pollution [1]. The filters use Selective Catalytic Reduction (SCR) method and, as for now, this process is controlled manually by a human expert. The goal of the research is to control an SCR system responsible for emission of nitrogen oxide (NO) and nitrogen dioxide (NO2) to the air, using SCR with ammonia (NH3). There are two higher-order fuzzy logic systems presented, applying interval-valued fuzzy sets and type-2 fuzzy sets, respectively. Fuzzy sets and

APA, Harvard, Vancouver, ISO, and other styles

9

Tamir, Dan E., and Abraham Kandel. "Axiomatic Theory of Complex Fuzzy Logic and Complex Fuzzy Classes." International Journal of Computers Communications & Control 6, no. 3 (2011): 562. http://dx.doi.org/10.15837/ijccc.2011.3.2135.

Full text

Abstract:

Complex fuzzy sets, classes, and logic have an important role in applications, such as prediction of periodic events and advanced control systems, where several fuzzy variables interact with each other in a multifaceted way that cannot be represented effectively via simple fuzzy operations such as union, intersection, complement, negation, conjunction and disjunction. The initial formulation of these terms stems from the definition of complex fuzzy grade of membership. The problem, however, with these definitions are twofold: 1) the complex fuzzy membership is limited to polar representation w

APA, Harvard, Vancouver, ISO, and other styles

10

Chang, Te-Chuan, C. William Ibbs, and Keith C. Crandall. "A fuzzy logic system for expert systems." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 2, no. 3 (1988): 183–93. http://dx.doi.org/10.1017/s0890060400000640.

Full text

Abstract:

Using the theory of fuzzy sets, this paper develops a fuzzy logic reasoning system as an augmentation to a rule-based expert system to deal with fuzzy information. First, fuzzy set theorems and fuzzy logic principles are briefly reviewed and organized to form a basis for the proposed fuzzy logic system. These theorems and principles are then extended for reasoning based on knowledge base with fuzzy production rules. When an expert system is augmented with the fuzzy logic system, the inference capability of the expert system is greatly expanded; and the establishment of a rule-based knowledge b

APA, Harvard, Vancouver, ISO, and other styles

11

Zeng, Wenyi, and Hongxing Li. "Note on “Some operations on intuitionistic fuzzy sets” [Fuzzy Sets and Systems 114 (2000) 477]." Fuzzy Sets and Systems 157, no. 7 (2006): 990–91. http://dx.doi.org/10.1016/j.fss.2005.08.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Jiang, Yuncheng, Yong Tang, Qimai Chen, Hai Liu, and Jianchao Tang. "Extending fuzzy soft sets with fuzzy description logics." Knowledge-Based Systems 24, no. 7 (2011): 1096–107. http://dx.doi.org/10.1016/j.knosys.2011.05.003.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Starczewski, Janusz T., Piotr Goetzen, and Christian Napoli. "Triangular Fuzzy-Rough Set Based Fuzzification of Fuzzy Rule-Based Systems." Journal of Artificial Intelligence and Soft Computing Research 10, no. 4 (2020): 271–85. http://dx.doi.org/10.2478/jaiscr-2020-0018.

Full text

Abstract:

AbstractIn real-world approximation problems, precise input data are economically expensive. Therefore, fuzzy methods devoted to uncertain data are in the focus of current research. Consequently, a method based on fuzzy-rough sets for fuzzification of inputs in a rule-based fuzzy system is discussed in this paper. A triangular membership function is applied to describe the nature of imprecision in data. Firstly, triangular fuzzy partitions are introduced to approximate common antecedent fuzzy rule sets. As a consequence of the proposed method, we obtain a structure of a general (non-interval)

APA, Harvard, Vancouver, ISO, and other styles

14

Jain, Aditya, and Balakrushna Tripathy. "Advances in Application of Fuzzy sets in electrical engineering." International Journal of Advances in Applied Sciences 6, no. 4 (2017): 351. http://dx.doi.org/10.11591/ijaas.v6.i4.pp351-358.

Full text

Abstract:

<p>Initially a theory, today fuzzy logic has become an operational technique. Used alongside other advanced control techniques, it is making a discrete but appreciated appearance in various electric systems. In the majority of present-day applications, fuzzy logic allows many kinds of designer and operator qualitative knowledge in electrical automation to be taken into account. Fuzzy logic began to interest the media at the beginning of the nineties. The numerous applications in electrical and electronic household appliances, particularly in Japan, were mainly responsible for such intere

APA, Harvard, Vancouver, ISO, and other styles

15

Chung, B. T. F., B. X. Zhang, and E. T. Lee. "A Multi-objective Optimization of Radiative Fin Array Systems in a Fuzzy Environment." Journal of Heat Transfer 118, no. 3 (1996): 642–49. http://dx.doi.org/10.1115/1.2822680.

Full text

Abstract:

This study analyzes and optimizes a new design for a four-fin radiating fin array system in a multi-objective fuzzy optimization environment. The conflicting objectives of minimizing both weight and horizontal size are considered simultaneously in the fuzzy optimization logic. A fuzzy feasible domain is constructed by considering all of the fuzzy sets individually defined by the fuzzy objectives and constraints. The system is optimized by maximizing the fuzzy decision function. A systematic procedure of the fuzzy optimization is discussed in detail.

APA, Harvard, Vancouver, ISO, and other styles

16

Fullér, Robert, and Péter Majlender. "Correction to: “On interactive fuzzy numbers” [Fuzzy Sets and Systems 143(2004) 355–369]." Fuzzy Sets and Systems 152, no. 1 (2005): 159. http://dx.doi.org/10.1016/j.fss.2004.10.021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Wagenknecht, M., and K. Hartmann. "Application of fuzzy sets of type 2 to the solution of fuzzy equations systems." Fuzzy Sets and Systems 25, no. 2 (1988): 183–90. http://dx.doi.org/10.1016/0165-0114(88)90186-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

SYROPOULOS, APOSTOLOS. "YET ANOTHER FUZZY MODEL FOR LINEAR LOGIC." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14, no. 01 (2006): 131–35. http://dx.doi.org/10.1142/s0218488506003881.

Full text

Abstract:

The construction of a new categorical fuzzy model for linear logic is presented. The construction is based on a general poset-valued model. Since the resulting categories are not identical to existing categories of all fuzzy sets, we investigate the relationship between the two categories. We conclude with very brief comments regarding the usefulness of this work.

APA, Harvard, Vancouver, ISO, and other styles

19

Mewada, Shivlal. "Perspectives of Fuzzy Logic and Their Applications." International Journal of Data Analytics 2, no. 1 (2021): 99–145. http://dx.doi.org/10.4018/ijda.2021010105.

Full text

Abstract:

Fuzzy logic is a highly suitable and applicable basis for developing knowledge-based systems in engineering and applied sciences. The concepts of a fuzzy number plays a fundamental role in formulating quantitative fuzzy variable. These are variable whose states are fuzzy numbers. When in addition, the fuzzy numbers represent linguistic concepts, such as very small, small, medium, and so on, as interpreted in a particular contest, the resulting constructs are usually called linguistic variables. Each linguistic variable the states of which are expressed by linguistic terms interpreted as specif

APA, Harvard, Vancouver, ISO, and other styles

20

BONARINI, ANDREA, MATTEO MATTEUCCI, and MARCELLO RESTELLI. "LEARNING FUZZY CLASSIFIER SYSTEMS: ARCHITECTURE AND EXPLORATION ISSUES." International Journal on Artificial Intelligence Tools 16, no. 02 (2007): 269–89. http://dx.doi.org/10.1142/s021821300700331x.

Full text

Abstract:

Introducing fuzzy logic in knowledge representation is a general technique to improve flexibility and performances of knowledge based and control software. Many researchers propose to introduce fuzzy logic representation in learning algorithms. Interesting features arise when fuzzy sets substitute the interval-based classification of input in a learning system; some of them imply an improvement in performance others an increased structural complexity in the architecture of the system and in the learning process. Focusing on Learning Classifier Systems, the introduction of fuzzy logic produces

APA, Harvard, Vancouver, ISO, and other styles

21

Gonçalves Nascimento Filho, Alarico, Jandecy Cabral Leite, Manoel Henrique Reis Nascimento, Jorge Almeida Brito Junior, Carlos Alberto Oliveira de Freitas, and Rafael Teles Rocha. "Educational approach for fault detection in Internal Combustion Engines with Matlab Toolbox Fuzzy Logic." International Journal for Innovation Education and Research 7, no. 8 (2019): 124–35. http://dx.doi.org/10.31686/ijier.vol7.iss8.1661.

Full text

Abstract:

Fuzzy logic is the logic defined from the theory of fuzzy sets. It differs from the crisp logic (traditional) in their characteristics and their details. In textbooks on fuzzy inference systems, exemplified superficially implementation creating doubts among computer science students. Traditionally, teachers teach IC with the use of conceptual models. This model was to serve specified parameters computing courses, allowing students to study and development of computational models using Matlab Fuzzy Logic Toolbox (MFLT) for fault detection in engines. This paper proposes an academic learning mod

APA, Harvard, Vancouver, ISO, and other styles

22

Wang, Li-Xin. "A New Look at Type-2 Fuzzy Sets and Type-2 Fuzzy Logic Systems." IEEE Transactions on Fuzzy Systems 25, no. 3 (2017): 693–706. http://dx.doi.org/10.1109/tfuzz.2016.2543746.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Pedrycz, W. "Statistically grounded logic operators in fuzzy sets." European Journal of Operational Research 193, no. 2 (2009): 520–29. http://dx.doi.org/10.1016/j.ejor.2007.12.009.

Full text

APA, Harvard, Vancouver, ISO, and other styles

24

Cecconello, M. S., J. Leite, R. C. Bassanezi, and A. J. V. Brandão. "Invariant and attractor sets for fuzzy dynamical systems." Fuzzy Sets and Systems 265 (April 2015): 99–109. http://dx.doi.org/10.1016/j.fss.2014.07.017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Ayyub, Bilal M. "Systems framework for fuzzy sets in civil engineering." Fuzzy Sets and Systems 40, no. 3 (1991): 491–508. http://dx.doi.org/10.1016/0165-0114(91)90174-o.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Chen, Yang. "Study on Centroid Type-Reduction of Interval Type-2 Fuzzy Logic Systems Based on Noniterative Algorithms." Complexity 2019 (April 11, 2019): 1–12. http://dx.doi.org/10.1155/2019/7325053.

Full text

Abstract:

Interval type-2 fuzzy logic systems have favorable abilities to cope with uncertainties in many applications. While the block type-reduction under the guidance of inference plays the central role in the systems, Karnik-Mendel (KM) iterative algorithms are standard algorithms to perform the type-reduction; however, the high computational cost of type-reduction process may hinder them from real applications. The comparison between the KM algorithms and other alternative algorithms is still an open problem. This paper introduces the related theory of interval type-2 fuzzy sets and discusses the b

APA, Harvard, Vancouver, ISO, and other styles

27

Filo, Grzegorz, Joanna Fabiś-Domagała, Mariusz Domagała, Edward Lisowski, and Hassan Momeni. "The idea of fuzzy logic usage in a sheet-based FMEA analysis of mechanical systems." MATEC Web of Conferences 183 (2018): 03009. http://dx.doi.org/10.1051/matecconf/201818303009.

Full text

Abstract:

The main purpose of the work which was carried out and is presented in this paper was to examine the possibility of using fuzzy logic inference for conducting a risk analysis with the help of a sheet-based Failure Mode and Effects Analysis method (FMEA). At the beginning, the main features of the analysed method were presented, with particular emphasis put on the Risk, Priority and Number parameters. Then, a proposal has been made which suggests using Matlab Fuzzy Logic Toolbox package in order to convert the factors into the form of fuzzy sets and to define rules for fuzzy inference process h

APA, Harvard, Vancouver, ISO, and other styles

28

Ali, Muhammad Irfan, and Muhammad Shabir. "Logic Connectives for Soft Sets and Fuzzy Soft Sets." IEEE Transactions on Fuzzy Systems 22, no. 6 (2014): 1431–42. http://dx.doi.org/10.1109/tfuzz.2013.2294182.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Sun, Lin, Wei Cai, Tian Ran Li, and Hua Ren Wu. "Design of a Wide-Area Damping Controller Based on Fuzzy Control." Advanced Materials Research 960-961 (June 2014): 960–63. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.960.

Full text

Abstract:

A method is proposed to design a wide-area damping controller (WADC) based on fuzzy control to dampen the low-frequency oscillations of interconnected power systems. First, the inputs and expected outputs of a fuzzy logic controller are analyzed. Then, a universe of fuzzy sets, membership functions and fuzzy rules are determined based on the relationship between inputs and outputs, and the fuzzy logic controller is constituted. The WADC consists of a fuzzy logic controller and a gain. The gain is obtained using particle swarm optimization. A four-machine two-area power system is simulated usin

APA, Harvard, Vancouver, ISO, and other styles

30

Miheţ, Dorel. "Erratum to “Fuzzy ψ-contractive mappings in non-Archimedean fuzzy metric spaces revisited [Fuzzy Sets and Systems 159 (2008) 739–744]”". Fuzzy Sets and Systems 161, № 8 (2010): 1150–51. http://dx.doi.org/10.1016/j.fss.2009.07.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Voronin, Ilya, Alexey Gazin, Tatyana Zolotareva, Oleg Selishchev, and Dmitry Skudnev. "Intelligent system of identification of local area network state." E3S Web of Conferences 258 (2021): 01013. http://dx.doi.org/10.1051/e3sconf/202125801013.

Full text

Abstract:

This article considers the problem of diagnosing local area network, as well as the task of structural determination is the creation and easy adjustment of the model object by building the knowledge base of available expert information. The algorithm of formalization of knowledge in designing intelligent systems is reviewed and proposed. The article considers the theory of fuzzy sets and fuzzy logic. The concept of the theory of fuzzy sets and fuzzy logic are formalized in the form of fuzzy and linguistic variables, and the vagueness of certain operations in the overall decision-making process

APA, Harvard, Vancouver, ISO, and other styles

32

Yusupbekov, N. R., A. R. Marakhimov, H. Z. Igamberdiev, and Sh X. Umarov. "An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream." Scientific World Journal 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/6719459.

Full text

Abstract:

This paper considers the problem of building adaptive fuzzy-logic traffic control systems (AFLTCS) to deal with information fuzziness and uncertainty in case of heavy traffic streams. Methods of formal description of traffic control on the crossroads based on fuzzy sets and fuzzy logic are proposed. This paper also provides efficient algorithms for implementing AFLTCS and develops the appropriate simulation models to test the efficiency of suggested approach.

APA, Harvard, Vancouver, ISO, and other styles

33

Abusorrah, Abdullah M. "Optimal Power Flow Using Adaptive Fuzzy Logic Controllers." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/975170.

Full text

Abstract:

This paper presents an approach for optimum reactive power dispatch through the power network with flexible AC transmission systems (FACTSs) devices, using adaptive fuzzy logic controller (AFLC) driven by adaptive fuzzy sets (AFSs). The membership functions of AFLC are optimized based on 2nd-order fuzzy set specifications. The operation of FACTS devices (particularly, static VAR compensator (SVC)) and the setting of their control parameters (QSVC) are optimized dynamically based on the proposed AFLC to enhance the power system stability in addition to their main function of power flow control.

APA, Harvard, Vancouver, ISO, and other styles

34

Pei-hua, Wang. "Proceeding of result congress on fuzzy sets and systems." Fuzzy Sets and Systems 58, no. 3 (1993): 383–84. http://dx.doi.org/10.1016/0165-0114(93)90513-h.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

WATTS, MICHAEL J. "FUZZY RULE EXTRACTION FROM SIMPLE EVOLVING CONNECTIONIST SYSTEMS." International Journal of Computational Intelligence and Applications 04, no. 03 (2004): 299–308. http://dx.doi.org/10.1142/s146902680400132x.

Full text

Abstract:

A method for extracting Zadeh–Mamdani fuzzy rules from a minimalist constructive neural network model is described. The network contains no embedded fuzzy logic elements. The rule extraction algorithm needs no modification of the neural network architecture. No modification of the network learning algorithm is required, nor is it necessary to retain any training examples. The algorithm is illustrated on two well known benchmark data sets and compared with a relevant existing rule extraction algorithm.

APA, Harvard, Vancouver, ISO, and other styles

36

Lee-Kwang, Hyung, and Ju-Jang Lee. "Fuzzy Logic and Intelligence System." Journal of Advanced Computational Intelligence and Intelligent Informatics 4, no. 5 (2000): 319–20. http://dx.doi.org/10.20965/jaciii.2000.p0319.

Full text

Abstract:

These papers are originally published in the proceedings of Korea fuzzy logic and intelligent systems society (KFIS) fall conference in 1999. Eight papers are selected for this special issue. Major topics of them are fuzzy theory, neural network, inference system, intelligent controller, etc. In this issue, Seihwan Park and Hyung Lee-Kwang extend the concept of fuzzy hypergraph to type-2 fuzzy hypergraph using type-2 fuzzy sets. It has not only the same properties of hypergraphs but also the extended properties of them. It is also shown that interval valued fuzzy hypergraph is a special case o

APA, Harvard, Vancouver, ISO, and other styles

37

Dalkiliç, Türkan Erbay, and Seda Sağirkaya. "Parameter Prediction Based on Type-2 Fuzzy Clustering." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 26, no. 06 (2018): 877–92. http://dx.doi.org/10.1142/s0218488518500393.

Full text

Abstract:

In regression analysis, the data have different distributions which requires to go beyond the classical analysis during the prediction process. In such cases, the analysis method based on fuzzy logic is preferred as alternative methods. There are couple important steps in the regression analysis based on fuzzy logic. One of them is identification of the clusters that generate the data set, the other is the degree of memberships that are determined the grades of the contributions of the data contained in these clusters. In this study, parameter prediction based on type-2 fuzzy clustering is dis

APA, Harvard, Vancouver, ISO, and other styles

38

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

39

Amroune, Abdelaziz, Lemnaouar Zedam, and Bijan Davvaz. "Many-Valued Logic and Zadeh’s Fuzzy Sets: A Stone Representation Theorem for Interval-Valued Łukasiewicz–Moisil Algebras." Journal of Intelligent Systems 25, no. 2 (2016): 99–106. http://dx.doi.org/10.1515/jisys-2014-0096.

Full text

Abstract:

AbstractThe aim of this article is to develop a representation theory of interval-valued Łukasiewicz–Moisil algebras; the concept of interval fuzzy sets involves the role that the notion of field of sets plays for the representation of Boolean algebras. This theory provides both a semantic interpretation of a Łukasiewicz interval-valued logic and a logical basis for the interval fuzzy sets theory.

APA, Harvard, Vancouver, ISO, and other styles

40

Mendel, Jerry M., and Dongrui Wu. "Critique of “A New Look at Type-2 Fuzzy Sets and Type-2 Fuzzy Logic Systems”." IEEE Transactions on Fuzzy Systems 25, no. 3 (2017): 725–27. http://dx.doi.org/10.1109/tfuzz.2017.2648882.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Kudri, S. R. T. "Compactness in L-fuzzy topological spaces; countability in L-fuzzy topology fuzzy sets and systems 67 (1994) 329–336; 71 (1995)241–249." Fuzzy Sets and Systems 84, no. 1 (1996): 117. http://dx.doi.org/10.1016/s0165-0114(96)90024-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Abiyev, Rahib H., Kaan Uyar, Umit Ilhan, Elbrus Imanov, and Esmira Abiyeva. "Estimation of Food Security Risk Level UsingZ-Number-Based Fuzzy System." Journal of Food Quality 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/2760907.

Full text

Abstract:

Fuzzy logic systems based on If-Then rules are widely used for modelling of the systems characterizing imprecise and uncertain information. These systems are basically based on type-1 fuzzy sets and allow handling the uncertain and imprecise information to some degree in the developed models. Zadeh extended the concept of fuzzy sets and proposedZ-number characterized by two components, constraint and reliability parameters, which are an ordered pair of fuzzy numbers. Here, the first component is used to represent uncertain information, and the second component is used to evaluate the reliabili

APA, Harvard, Vancouver, ISO, and other styles

43

Laengle, Sigifredo, Valeria Lobos, José M. Merigó, Enrique Herrera-Viedma, Manuel J. Cobo, and Bernard De Baets. "Forty years of Fuzzy Sets and Systems: A bibliometric analysis." Fuzzy Sets and Systems 402 (January 2021): 155–83. http://dx.doi.org/10.1016/j.fss.2020.03.012.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Bosc, Patrick, Donald Kraft, and Fred Petry. "Fuzzy sets in database and information systems: Status and opportunities." Fuzzy Sets and Systems 156, no. 3 (2005): 418–26. http://dx.doi.org/10.1016/j.fss.2005.05.039.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Lendek, Zs, J. Lauber, T. M. Guerra, R. Babuška, and B. De Schutter. "Erratum to “Adaptive observers for TS fuzzy systems with unknown polynomial inputs” [Fuzzy Sets and Systems 161 (2010) 2043–2065]." Fuzzy Sets and Systems 171, no. 1 (2011): 106–7. http://dx.doi.org/10.1016/j.fss.2010.10.017.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

ARNOULD, THIERRY, and SHUN'ICHI TANO. "A RULE-BASED METHOD TO CALCULATE THE WIDEST SOLUTION SETS OF A MAX-MIN FUZZY RELATIONAL EQUATION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 02, no. 03 (1994): 247–56. http://dx.doi.org/10.1142/s0218488594000195.

Full text

Abstract:

In this paper, we propose a new rule-based method to determine exactly all the widest solution sets of a max-min fuzzy relational equation. As they can be applied to many fields of fuzzy logic, fuzzy relational equations are of great importance; therefore, many researches have been carried out on the subject and many methods have already been proposed to solve the various kinds of fuzzy equations that can be defined, especially the so-called max-min equations. One of the main consequences of the use of the max and min operators is the non uniqueness of the solution. Indeed, when a max-min fuzz

APA, Harvard, Vancouver, ISO, and other styles

47

Ruiz-Garcia, Gonzalo, Hani Hagras, Hector Pomares, and Ignacio Rojas Ruiz. "Toward a Fuzzy Logic System Based on General Forms of Interval Type-2 Fuzzy Sets." IEEE Transactions on Fuzzy Systems 27, no. 12 (2019): 2381–95. http://dx.doi.org/10.1109/tfuzz.2019.2898582.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Simões, Marcelo Godoy, and Abdullah Bubshait. "Frequency Support of Smart Grid Using Fuzzy Logic-Based Controller for Wind Energy Systems." Energies 12, no. 8 (2019): 1550. http://dx.doi.org/10.3390/en12081550.

Full text

Abstract:

This paper proposes a fuzzy logic-based controller for a wind turbine system to provide frequency support for a smart grid. The designed controller is aimed to provide an appropriate dynamic droop rate depending on the local measurements of each wind turbine of a wind farm such as the maximum power available and the amount of power reserve. The designed fuzzy controller depends on the rate of change of frequency (ROCOF) at the point of common coupling (PCC). The main advantage of the proposed fuzzy controller is to provide frequency support by the wind turbine system connected to a smart grid.

APA, Harvard, Vancouver, ISO, and other styles

49

Lu, Ling-Xia, and Wei Yao. "Correction to “On many-valued stratified L-fuzzy convergence spaces” [Fuzzy Sets and Systems 159 (2008) 2503–2519]." Fuzzy Sets and Systems 161, no. 7 (2010): 1033–38. http://dx.doi.org/10.1016/j.fss.2009.08.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Dubois, Didier, and Henri Prade. "Book Review: "Fuzzy Sets and Fuzzy Logic Theory and Applications", by George J. Klir and Bo Yuan." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 05, no. 04 (1997): 505–8. http://dx.doi.org/10.1142/s0218488597000361.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!