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Journal articles on the topic 'Fuzzy'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Zhang, Xiaohong. "On Some Fuzzy Filters in Pseudo-BCIAlgebras." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/718972.

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Some new properties of fuzzy associative filters (also known as fuzzy associative pseudo-filters), fuzzyp-filter (also known as fuzzy pseudo-p-filters), and fuzzya-filter (also known as fuzzy pseudo-a-filters) in pseudo-BCIalgebras are investigated. By these properties, the following important results are proved: (1) a fuzzy filter (also known as fuzzy pseudo-filters) of a pseudo-BCIalgebra is a fuzzy associative filter if and only if it is a fuzzya-filter; (2) a filter (also known as pseudo-filter) of a pseudo-BCIalgebra is associative if and only if it is ana-filter (also call it pseudo-afil

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2

Şengönül, M., and Z. Zararsız. "Some Additions to the Fuzzy Convergent and Fuzzy Bounded Sequence Spaces of Fuzzy Numbers." Abstract and Applied Analysis 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/837584.

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Some properties of the fuzzy convergence and fuzzy boundedness of a sequence of fuzzy numbers were studied in Choi (1996). In this paper, we have consider, some important problems on these spaces and shown that these spaces are fuzzy complete module spaces. Also, the fuzzyα-, fuzzyβ-, and fuzzyγ-duals of the fuzzy module spaces of fuzzy numbers have been computeded, and some matrix transformations are given.

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3

Mukherjee, M. N., та S. P. Sinha. "Fuzzyθ-closure operator on fuzzy topological spaces". International Journal of Mathematics and Mathematical Sciences 14, № 2 (1991): 309–14. http://dx.doi.org/10.1155/s0161171291000364.

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The paper contains a study of fuzzyθ-closure operator,θ-closures of fuzzy sets in a fuzzy topological space are characterized and some of their properties along with their relation with fuzzyδ-closures are investigated. As applications of these concepts, certain functions as well as some spaces satisfying certain fuzzy separation axioms are characterized in terms of fuzzyθ-closures andδ-closures.

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4

Kumbhojkar, H. V. "Proper Fuzzification of Prime Ideals of a Hemiring." Advances in Fuzzy Systems 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/801650.

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Prime fuzzy ideals, prime fuzzyk-ideals, and prime fuzzyh-ideals are roped in one condition. It is shown that this way better fuzzification is achieved. Other major results of the paper are: every fuzzy ideal (resp.,k-ideal,h-ideal) is contained in a prime fuzzy ideal (resp.,k-ideal,h-ideal). Prime radicals and nil radicals of a fuzzy ideal are defined; their relationship is established. The nil radical of a fuzzyk-ideal (resp., anh-ideal) is proved to be a fuzzyk-ideal (resp.,h-ideal). The correspondence theorems for different types of fuzzy ideals of hemirings are established. The concept of

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5

Uehara, Kiyohiko, and Kaoru Hirota. "A Fast Method for Fuzzy Rules Learning with Derivative-Free Optimization by Formulating Independent Evaluations of Each Fuzzy Rule." Journal of Advanced Computational Intelligence and Intelligent Informatics 25, no. 2 (2021): 213–25. http://dx.doi.org/10.20965/jaciii.2021.p0213.

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A method is proposed for evaluating fuzzy rules independently of each other in fuzzy rules learning. The proposed method is named α-FUZZI-ES (α-weight-based fuzzy-rule independent evaluations) in this paper. In α-FUZZI-ES, the evaluation value of a fuzzy system is divided out among the fuzzy rules by using the compatibility degrees of the learning data. By the effective use of α-FUZZI-ES, a method for fast fuzzy rules learning is proposed. This is named α-FUZZI-ES learning (α-FUZZI-ES-based fuzzy rules learning) in this paper. α-FUZZI-ES learning is especially effective when evaluation functio

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6

Lee, Seok Jong, and Eun Pyo Lee. "Fuzzyr-continuous and fuzzyr-semicontinuous maps." International Journal of Mathematics and Mathematical Sciences 27, no. 1 (2001): 53–63. http://dx.doi.org/10.1155/s0161171201010882.

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We introduce a new notion of fuzzyr-interior which is an extension of Chang's fuzzy interior. Using fuzzyr-interior, we define fuzzyr-semiopen sets and fuzzyr-semicontinuous maps which are generalizations of fuzzy semiopen sets and fuzzy semicontinuous maps in Chang's fuzzy topology, respectively. Some basic properties of fuzzyr-semiopen sets and fuzzyr-semicontinuous maps are investigated.

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7

M.Thusleem, Furjana, and M.Bhanumathi. "Fuzzy Metric Dimension of Fuzzy Hypercube Qn and Fuzzy Boolean Graphs." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 3690–96. https://doi.org/10.35940/ijeat.C6226.029320.

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Let G = (V, E, ) be a fuzzy graph. Let M be a subset of V. M is said to be a fuzzy metric basis of G if for every pair of vertices x, y  V ‒ M, there exists a vertex w  M such that d (w, x)  d (w, y). The number of elements in M is said to be fuzzy metric dimension (FMD) of G and is denoted by  (G). The elements in M are called as source vertices. In this paper, we study the fuzzy metric dimension of fuzzy hypercube Qn, fuuzy Boolean Graph BG2 (G) and fuzzy Boolean Graph BG3 (G).

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8

Jeon, Joung Kon, Young Bae Jun, and Jin Han Park. "Intuitionistic fuzzy alpha-continuity and intuitionistic fuzzy precontinuity." International Journal of Mathematics and Mathematical Sciences 2005, no. 19 (2005): 3091–101. http://dx.doi.org/10.1155/ijmms.2005.3091.

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A characterization of intuitionistic fuzzyα-open set is given, and conditions for an IFS to be an intuitionistic fuzzyα-open set are provided. Characterizations of intuitionistic fuzzy precontinuous (resp.,α-continuous) mappings are given.

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9

Raj, A. Stanley, D. Hudson Oliver, and Y. Srinivas. "Geoelectrical Data Inversion by Clustering Techniques of Fuzzy Logic to Estimate the Subsurface Layer Model." International Journal of Geophysics 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/134834.

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Soft computing based geoelectrical data inversion differs from conventional computing in fixing the uncertainty problems. It is tractable, robust, efficient, and inexpensive. In this paper, fuzzy logic clustering methods are used in the inversion of geoelectrical resistivity data. In order to characterize the subsurface features of the earth one should rely on the true field oriented data validation. This paper supports the field data obtained from the published results and also plays a crucial role in making an interdisciplinary approach to solve complex problems. Three clustering algorithms

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10

Dughman, Hawwa M. S., Amnnah A. A. Rasheed, and Khadeejah A. A. Alqamoudi. "Pythagorean M-Fuzzy subgroups under a T-norm." International Science and Technology Journal 32, no. 1 (2023): 1–17. https://doi.org/10.62341/hakp0275.

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This study explores the structural properties of Pythagorean M- fuzzy groups, building upon prior works by several researchers. It introduces the Pythagorean M-Fuzzy subgroup as a generalization of intuitionistic fuzzy subgroups, along with Pythagorean M-Fuzzy cosets and Pythagorean M-Fuzz normal subgroups. The study also discusses the impact of group homomorphisms on Pythagorean M- Fuzzy subgroups under a T-norm. Keywords: Pythagorean fuzzy set, Pythagorean fuzzy subgroup, M-fuzzy subgroup, Pythagorean M-fuzzy subgroup

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11

Ma, Zhen Ming. "Some Types of Generalized Fuzzyn-Fold Filters in Residuated Lattices." Abstract and Applied Analysis 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/736872.

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Fuzzy filters and their generalized types have been extensively studied in the literature. In this paper, a one-to-one correspondence between the set of all generalized fuzzy filters and the set of all generalized fuzzy congruences is established, a quotient residuated lattice with respect to generalized fuzzy filter is induced, and several types of generalized fuzzyn-fold filters such as generalized fuzzyn-fold positive implicative (fantastic and Boolean) filters are introduced; examples and results are provided to demonstrate the relations among these filters.

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12

Renuka, R., та V. Seenivasan. "On Intuitionistic Fuzzyβ-Almost Compactness andβ-Nearly Compactness". Scientific World Journal 2015 (2015): 1–5. http://dx.doi.org/10.1155/2015/869740.

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The concept of intuitionistic fuzzyβ-almost compactness and intuitionistic fuzzyβ-nearly compactness in intuitionistic fuzzy topological spaces is introduced and studied. Besides giving characterizations of these spaces, we study some of their properties. Also, we investigate the behavior of intuitionistic fuzzyβ-compactness, intuitionistic fuzzyβ-almost compactness, and intuitionistic fuzzyβ-nearly compactness under several types of intuitionistic fuzzy continuous mappings.

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13

Shi, Fu-Gui. "(L,M)-Fuzzyσ-Algebras". International Journal of Mathematics and Mathematical Sciences 2010 (2010): 1–11. http://dx.doi.org/10.1155/2010/356581.

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The notion of (L,M)-fuzzyσ-algebras is introduced in the lattice value fuzzy set theory. It is a generalization of Klement's fuzzyσ-algebras. In our definition of (L,M)-fuzzyσ-algebras, eachL-fuzzy subset can be regarded as anL-measurable set to some degree.

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14

Cong, Cuong Bui, Roan Thi Ngan, and Le Ba Long. "Some New De Morgan Picture Operator Triples in Picture Fuzzy Logic." Journal of Computer Science and Cybernetics 33, no. 2 (2018): 143–64. http://dx.doi.org/10.15625/1813-9663/33/2/10706.

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A new concept of picture fuzzy sets (PFS) were introduced in 2013, which are directextensions of the fuzzy sets and the intuitonistic fuzzy sets. Then some operations on PFS withsome properties are considered in [ 9,10 ]. Some basic operators of fuzzy logic as negation, tnorms, t-conorms for picture fuzzy sets firstly are defined and studied in [13,14]. This paper isdevoted to some classes of representable picture fuzzy t-norms and representable picture fuzzyt-conorms on PFS and a basic algebra structure of Picture Fuzzy Logic – De Morgan triples ofpicture operators.

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15

Abbas, S. E. "Fuzzy super irresolute functions." International Journal of Mathematics and Mathematical Sciences 2003, no. 42 (2003): 2689–700. http://dx.doi.org/10.1155/s0161171203212278.

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The concept of fuzzy super irresolute function was considered and studied by ostak's (1985). A comparison between this type and other existing ones is established. Several characterizations, properties, and their effect on some fuzzy topological spaces are studied. Also, a new class of fuzzy topological spaces under the terminology fuzzyS∗-closed spaces is introduced and investigated.

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16

Taleshian, Fatemeh, and Jafar Fathali. "A Mathematical Model for Fuzzyp-Median Problem with Fuzzy Weights and Variables." Advances in Operations Research 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/7590492.

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We investigate thep-median problem with fuzzy variables and weights of vertices. The fuzzy equalities and inequalities transform to crisp cases by using some technique used in fuzzy linear programming. We show that the fuzzy objective function also can be replaced by crisp functions. Therefore an auxiliary linear programming model is obtained for the fuzzyp-median problem. The results are compared with two previously proposed methods.

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17

Jianming, Zhan, and Tan Zhisong. "Doubt fuzzy BCI-algebras." International Journal of Mathematics and Mathematical Sciences 30, no. 1 (2002): 49–56. http://dx.doi.org/10.1155/s0161171202007986.

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The aim of this note is to introduce the notion of doubt fuzzyp-ideals in BCI-algebras and to study their properties. We also solve the problem of classifying doubt fuzzyp-ideals and study fuzzy relations on BCI-algebras.

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18

Gulzar, Muhammad, Fareeha Dilawar, Dilshad Alghazzawi, and M. Haris Mateen. "A note on complex fuzzy subfield." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 2 (2021): 1048–56. https://doi.org/10.11591/ijeecs.v21.i2.pp1048-1056.

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In this paper, we introduce idea of complex fuzzy subfield and discuss its various algebraic aspects. We prove that every complex fuzzy subfield generate two fuzzy fields and shows that intersection of two complex fuzzy subfields is also complex fuzzy subfields. We also present the concept of level subsets of complex fuzzy subfield and shows that level subset of complex fuzzy subfield form subfield. Furthermore, we extend this idea to define the notion of the direct product of two complex fuzzy subfields and also investigate the homomorphic image and inverse image of complex fuzzy subfield.

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19

Thakur, S. S., and Annamma Philip. "Pairwise fuzzy connectedness between fuzzy sets." Mathematica Bohemica 122, no. 4 (1997): 375–80. http://dx.doi.org/10.21136/mb.1997.126217.

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20

Ramadan, A. A., M. El-Dardery, and Hu Zhao. "On Convergence inL-Valued Fuzzy Topological Spaces." Abstract and Applied Analysis 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/730940.

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We introduce the concept ofL-fuzzy neighborhood systems using completeMV-algebras and present important links with the theory ofL-fuzzy topological spaces. We investigate the relationships among the degrees ofL-fuzzyr-adherent points (r-convergent,r-cluster, andr-limit, resp.) in anL-fuzzy topological spaces. Also, we investigate the concept ofLF-continuous functions and their properties.

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21

Kanzawa, Yuchi. "Fuzzy Co-Clustering Algorithms Based on Fuzzy Relational Clustering and TIBA Imputation." Journal of Advanced Computational Intelligence and Intelligent Informatics 18, no. 2 (2014): 182–89. http://dx.doi.org/10.20965/jaciii.2014.p0182.

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In this paper, two types of fuzzy co-clustering algorithms are proposed. First, it is shown that the base of the objective function for the conventional fuzzy co-clustering method is very similar to the base for entropy-regularized fuzzy nonmetric model. Next, it is shown that the non-sense clustering problem in the conventional fuzzy co-clustering algorithms is identical to that in fuzzy nonmetric model algorithms, in the case that all dissimilarities among rows and columns are zero. Based on this discussion, a method is proposed applying entropy-regularized fuzzy nonmetric model after all di

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22

Aly, S., and I. Vrana. "Multiple parallel fuzzy expert systems utilizing a hierarchical fuzz model." Agricultural Economics (Zemědělská ekonomika) 53, No. 2 (2008): 89–93. http://dx.doi.org/10.17221/1425-agricecon.

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Business, economic, and agricultural YES-or-NO decision making problems often require multiple, different and specific expertises. This is due to the nature of such problems in which decisions may be influenced by multiple different, relevant aspects, and accordingly multiple corresponding expertises are required. Fuzzy expert systems (FESs) are widely used to model expertises due to its capability to model real world values, which are not always exact, but frequently vague or uncertain. In this research, different expertises, relevant to the decision solution, are modeled using several corres

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23

Hussain, MA, and YY Yousif. "Fibrewise Fuzzy Separation Axioms." Journal of Physics: Conference Series 2322, no. 1 (2022): 012062. http://dx.doi.org/10.1088/1742-6596/2322/1/012062.

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Abstract Within that research, we introduce fibrewise fuzzy types of the most important separation axioms in ordinary fuzz topology, namely fibrewise fuzzy (T 0 spaces, T 1 spaces, R 0 spaces, Hausdorff spaces, functionally Hausdorff spaces, regular spaces, completely regular spaces, normal spaces, and normal spaces). Too we add numerous outcomes about it.

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24

Mahmood, T., and A. Ejaz. "On Bipolar Valued Fuzzy ð’Œ-Ideals in Hemirings." Nucleus 52, no. 3 (2015): 115–22. https://doi.org/10.71330/thenucleus.2015.644.

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In this paper we discuss some results associated with Bipolar valued fuzzy ð‘˜ -ideals of hemirings. We also define bipolar valued fuzzy ð‘˜-intrinsic product and characterize ð‘˜- hemiregularhemirings by using their bipolar valued fuzzyð‘˜ -ideals.

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25

Yazdi, Hadi Sadoghi, Mehri Sadoghi Yazdi, and Abedin Vahedian. "Fuzzy Bayesian Classification of LR Fuzzy Numbers." International Journal of Engineering and Technology 1, no. 5 (2009): 415–23. http://dx.doi.org/10.7763/ijet.2009.v1.78.

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26

Kanaujia, Alka, Parijat Sinha, and Manjari Srivastava. "FUZZY SEMI-SEPARATION AXIOMS AND FUZZY SEMI-CONNECTEDNESS IN FUZYY BICLOSURE SPACES." jnanabha 53, no. 01 (2023): 62–67. http://dx.doi.org/10.58250/jnanabha.2023.53107.

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The purpose of this paper is to introduce the notion of fuzzy semi-separation axioms and fuzzy semi-connectedness in fuzzy biclosure spaces. Further we investigate their characterizations and find relations with other already existing definitions. We generalize the results of semi-connectedness in fuzzy setting. Here we follow the definition of closure operator given by Birkhoff [5].

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27

Akram, M., and K. H. Dar. "T-fuzzy ideals inBCI-algebras." International Journal of Mathematics and Mathematical Sciences 2005, no. 12 (2005): 1899–907. http://dx.doi.org/10.1155/ijmms.2005.1899.

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28

Cat, Jordi. "Fuzzy Empiricism and Fuzzy‐Set Causality: What Is All the Fuzz About?*." Philosophy of Science 73, no. 1 (2006): 26–41. http://dx.doi.org/10.1086/510173.

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29

Wang, Zhenyuan, and Li Zhang-Westmant. "New Ranking Method For Fuzzy Numbers By Their Expansion Center." Journal of Artificial Intelligence and Soft Computing Research 4, no. 3 (2014): 181–87. http://dx.doi.org/10.1515/jaiscr-2015-0007.

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Abstract Based on the area between the curve of the membership function of a fuzzy number and the horizontal real axis, a characteristic as a new numerical index, called the expansion center, for fuzzy numbers is proposed. An intuitive and reasonable ranking method for fuzzy numbers based on this characteristic is also established. The new ranking method is applicable for decision making and data analysis in fuzz environments. An important criterion of the goodness for ranking fuzzy numbers, the geometric intuitivity, is also introduced. It guarantees coinciding with the natural ordering of th

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30

Chattopadhyay, K. C., and S. K. Samanta. "Fuzzy topology: Fuzzy closure operator, fuzzy compactness and fuzzy connectedness." Fuzzy Sets and Systems 54, no. 2 (1993): 207–12. http://dx.doi.org/10.1016/0165-0114(93)90277-o.

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31

Wu, Congxin, Deli Zhang, Bokan Zhang, and Caimei Guo. "Fuzzy number fuzzy measures and fuzzy integrals. (II). Fuzzy integrals of fuzzy-valued functions with respect to fuzzy number fuzzy measures on fuzzy sets." Fuzzy Sets and Systems 101, no. 1 (1999): 137–41. http://dx.doi.org/10.1016/s0165-0114(97)00041-9.

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32

Sharmila, R. Gethsi, and S. Devigayathri. "Solving Fuzzy Delay Differential Equations using Fuzzy Elzaki Transform and Fuzzy Elzaki Decomposition Method." Indian Journal Of Science And Technology 17, no. 41 (2024): 4313–23. http://dx.doi.org/10.17485/ijst/v17i41.2982.

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Objective: In this work, the fuzzy Elzaki transform and fuzzy Elzaki decomposition method are used to solve fuzzy delay differential equations. The fuzzy Elzaki decomposition method is a combination of the fuzzy Elzaki transform and Adomian decomposition method in a fuzzy environment. The use of transforms in solving differential equations makes the solution process simpler. Methodology: The fuzzy Elzaki transform is applied in the fuzzy delay differential equation. The nonlinear terms are decomposed using Adomian polynomials in a nonlinear fuzzy delay differential equation. In the transformed

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33

Roh, Eun Hwan, Young Bae Jun та Wook Hwan Shim. "Fuzzy associativeℐ-ideals ofIS-algebras". International Journal of Mathematics and Mathematical Sciences 24, № 11 (2000): 729–35. http://dx.doi.org/10.1155/s0161171200004105.

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34

Rajendran, C., and M. Ananthanarayanan. "Fuzzy Critical Path Method Using Octagonal Fuzzy Numbers." International Journal of Scientific Engineering and Research 5, no. 10 (2017): 15–18. https://doi.org/10.70729/ijser171926.

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35

R, Shanmugapriya, and Mary Jiny D. "Fuzzy Super Resolving Number of Fuzzy Labelling Graphs." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (2019): 606–11. http://dx.doi.org/10.5373/jardcs/v11/20192612.

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36

Mohite, Trupti. "On Convexity of Fuzzy Sets and Fuzzy Relations." International Journal of Science and Research (IJSR) 12, no. 7 (2023): 758–61. http://dx.doi.org/10.21275/sr23710111006.

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37

Gammoudi, Aymen, Allel Hadjali, and Boutheina Ben Yaghlane. "Fuzz-TIME: an intelligent system for managing fuzzy temporal information." International Journal of Intelligent Computing and Cybernetics 10, no. 2 (2017): 200–222. http://dx.doi.org/10.1108/ijicc-09-2016-0036.

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Purpose Time modeling is a crucial feature in many application domains. However, temporal information often is not crisp, but is subjective and fuzzy. The purpose of this paper is to address the issue related to the modeling and handling of imperfection inherent to both temporal relations and intervals. Design/methodology/approach On the one hand, fuzzy extensions of Allen temporal relations are investigated and, on the other hand, extended temporal relations to define the positions of two fuzzy time intervals are introduced. Then, a database system, called Fuzzy Temporal Information Managemen

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38

Khan, Muhammad Bilal, Pshtiwan Othman Mohammed, Muhammad Aslam Noor, Abdullah M. Alsharif, and Khalida Inayat Noor. "New fuzzy-interval inequalities in fuzzy-interval fractional calculus by means of fuzzy order relation." AIMS Mathematics 6, no. 10 (2021): 10964–88. http://dx.doi.org/10.3934/math.2021637.

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<abstract> <p>It is well-known that interval analysis provides tools to deal with data uncertainty. In general, interval analysis is typically used to deal with the models whose data are composed of inaccuracies that may occur from certain kinds of measurements. In interval analysis and fuzzy-interval analysis, the inclusion relation (⊆) and fuzzy order relation $\left(\preccurlyeq \right)$ both are two different concepts, respectively. In this article, with the help of fuzzy order relation, we introduce fractional Hermite-Hadamard inequality (<italic>HH</italic>-inequa

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Honda, Katsuhiro, Shunnya Oshio, and Akira Notsu. "Fuzzy Co-Clustering Induced by Multinomial Mixture Models." Journal of Advanced Computational Intelligence and Intelligent Informatics 19, no. 6 (2015): 717–26. http://dx.doi.org/10.20965/jaciii.2015.p0717.

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A close connection between fuzzyc-means (FCM) and Gaussian mixture models (GMMs) have been discussed and several extended FCM algorithms were induced by the GMMs concept, where fuzzy partitions are proved to be more useful for revealing intrinsic cluster structures than probabilistic ones. Co-clustering is a promising technique for summarizing cooccurrence information such as document-keyword frequencies. In this paper, a fuzzy co-clustering model is induced based on the multinomial mixture models (MMMs) concept, in which the degree of fuzziness of both object and item fuzzy memberships can be

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40

Tebu, S. F., C. Lele, and J. B. Nganou. "Fuzzy -Fold BCI-Positive Implicative Ideals in BCI-Algebras." International Journal of Mathematics and Mathematical Sciences 2012 (2012): 1–8. http://dx.doi.org/10.1155/2012/628931.

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We consider the notion of fuzzy -fold positive implicative ideals in BCI-algebras. We analyse many properties of fuzzy -fold positive implicative ideals. We also establish an extension properties for fuzzyn-fold positive implicative ideals in BCI-algberas. This work generalizes the corresponding results in the crisp case.

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41

Jehad, R. Kider, and J. Hassan Aisha. "Fuzzy Compact Fuzzy Distance Space." Journal of Progressive Research in Mathematics 6, no. 1 (2015): 694–709. https://doi.org/10.5281/zenodo.3977863.

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In this paper we recall the definition of fuzzy distance space on a fuzzy set then we define a compact fuzzy distance space and fuzzy totally bounded after that we prove that fuzzy totally bounded fuzzy complete fuzzy distance space is fuzzy compact. Moreover we recall the definition of fuzzy continuous and uniform fuzzy continuous function to prove that fuzzy continuous function and uniform fuzzy continuous functions are equivalent on a fuzzy compact fuzzy distance spaces.

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42

Hong, Liang. "Fuzzy Riesz subspaces, fuzzy ideals, fuzzy bands and fuzzy band projections." Annals of West University of Timisoara - Mathematics and Computer Science 53, no. 1 (2015): 77–108. http://dx.doi.org/10.1515/awutm-2015-0005.

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Abstract Fuzzy ordered linear spaces, Riesz spaces, fuzzy Archimedean spaces and σ-complete fuzzy Riesz spaces were defined and studied in several works. Following the efforts along this line, we define fuzzy Riesz subspaces, fuzzy ideals, fuzzy bands and fuzzy band projections and establish their fundamental properties.

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43

Mahmoud, F. S., M. A. Fath Alla, and S. M. Abd Ellah. "Fuzzy topology on fuzzy sets: fuzzy semicontinuity and fuzzy semiseparation axioms." Applied Mathematics and Computation 153, no. 1 (2004): 127–40. http://dx.doi.org/10.1016/s0096-3003(03)00616-7.

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44

Ovchinnikov, Sergei. "Fuzzy algebra. Volume 1. Fuzzy subgroups, fuzzy subrings and fuzzy ideals." Fuzzy Sets and Systems 65, no. 2-3 (1994): 331. http://dx.doi.org/10.1016/0165-0114(94)90038-8.

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Liu, Qi, and Jianming Zhan. "IFP-Intuitionistic Fuzzy Softh-Ideals of Hemirings and Its Decision Making." Journal of Applied Mathematics 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/589465.

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The aim of this paper is to introduce the concepts of IFP-intuitionistic fuzzy softh-ideals and IFP-equivalent intuitionistic fuzzy softh-ideals of hemirings. Some characterizations and properties of them are given. In particular, some good examples are explored. Finally, we investigate aggregate intuitionistic fuzzyh-ideals of hemirings based on decision making.

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46

Guang-Quan, Zhang. "Fuzzy number-valued fuzzy measure and fuzzy number-valued fuzzy integral on the fuzzy set." Fuzzy Sets and Systems 49, no. 3 (1992): 357–76. http://dx.doi.org/10.1016/0165-0114(92)90287-e.

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Congxin Wu, Deli Zhang, Caimei Guo, and Cong Wu. "Fuzzy number fuzzy measures and fuzzy integrals. (I). Fuzzy integrals of functions with respect to fuzzy number fuzzy measures." Fuzzy Sets and Systems 98, no. 3 (1998): 355–60. http://dx.doi.org/10.1016/s0165-0114(96)00394-6.

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Faizal, Ahmad, Ewi Ismaredah, and Imam Fadjar Ridho. "Perancangan Pengendalian Hover Quadcopter Menggunakan Pengendali Hybrid Fuzzy Dan Proportional Integral Derivative (PID)." Jurnal ECOTIPE 5, no. 2 (2018): 19–28. http://dx.doi.org/10.33019/ecotipe.v5i2.647.

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Sistem hover quadcopter memiliki kelebihan untuk dapat terbang melayang bebas dan dengan mudah karena memiliki bentuk yang kecil dan ringan sehingga mudah. Namun karena memiliki massa yang ringin quadcopter juga memiliki kelemahan tersendiri yaitu mudah terkena gangguan seperti terpaan angin. Ini tentu saja menjadi masalah tersendiri pada quadcopter untuk pengaplikasiannya. Untuk mensimulasikan quadcopter digunakan software MATLAB R2013a. Dengan metode pengendali yaitu hybrid fuzzy-PID, pengendali logika fuzzy adalah kendali cerdas yang dapat berinteraksi dengan kondisi yang terjadi dengan mem

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Qiu, Wangren, Ping Zhang, and Yanhong Wang. "Fuzzy Time Series Forecasting Model Based on Automatic Clustering Techniques and Generalized Fuzzy Logical Relationship." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/962597.

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In view of techniques for constructing high-order fuzzy time series models, there are three types which are based on advanced algorithms, computational method, and grouping the fuzzy logical relationships. The last type of models is easy to be understood by the decision maker who does not know anything about fuzzy set theory or advanced algorithms. To deal with forecasting problems, this paper presented novel high-order fuzz time series models denoted as GTS(M, N)based on generalized fuzzy logical relationships and automatic clustering. This paper issued the concept of generalized fuzzy logica

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Chetty, G. Palani, and G. Balasubramanian. "On fuzzy nearly C-compactness in fuzzy topological spaces." Mathematica Bohemica 132, no. 1 (2007): 1–12. http://dx.doi.org/10.21136/mb.2007.133991.

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