Relevant bibliographies by topics / Fuzzy Soft Ring

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  3. Conference papers

Academic literature on the topic 'Fuzzy Soft Ring'

Author: Grafiati
Published: 3 June 2025
Last updated: 7 July 2025

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Journal articles on the topic "Fuzzy Soft Ring"

1

Deepa, V. "Dual Hesitant Fuzzy Soft Rings." International Journal of Fuzzy System Applications 7, no. 3 (2018): 1–16. http://dx.doi.org/10.4018/ijfsa.2018070101.

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In this article, the concept of dual hesitant fuzzy soft sets is applied to the subring and ideal structures of the classical rings. Further, based on level soft sets of the dual hesitant fuzzy soft set, a characterization theorem for the dual hesitant fuzzy soft ring is established. Moreover, a counter-example is provided for a dual hesitant fuzzy soft ring which is not an idealistic dual hesitant fuzzy soft ring. Finally, the homomorphic and bi-soft homomorphic properties of a dual hesitant fuzzy soft ring are discussed.
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V., Ramdass, and Ananthan E. "NEW DIMENSIONS OF SOFT STRUCTURES OVER FUZZY SOFT LATTICE." International Journal of Applied and Advanced Scientific Research 2, no. 2 (2017): 141–48. https://doi.org/10.5281/zenodo.888264.

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In this paper, we introduce a new kind of soft ring called Lattice fuzzy soft intersection action on a ring. We then focused on the concepts of Lattice fuzzy soft pre image, union and intersection of a soft set. Also, we derive its various related properties. We then study and discuss its structural characteristics.
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3

Thamir, Riyam, Walaa Hasan Ashour, Mohammed Jassim Tuamah, and Hasan Ali Naser. "Intuitionistic Fuzzy Soft HX Ideals." Journal of Education for Pure Science- University of Thi-Qar 11, no. 1 (2021): 77–87. http://dx.doi.org/10.32792/jeps.v11i1.93.

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In this paper we defined the concept of intuitionistic fuzzy soft HX ideal of HX ring and prove some results about them, after that we study some types of intuitionistic fuzzy soft HX ideal of HX ring and prove some results about them. Also, we study the image and pre image of intuitionistic fuzzy soft HX ideal of HX ring and prove some results about them.
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4

Zhang, Haidong, Lianglin Xiong, and Weiyuan Ma. "On Interval-Valued Hesitant Fuzzy Soft Sets." Mathematical Problems in Engineering 2015 (2015): 1–17. http://dx.doi.org/10.1155/2015/254764.

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By combining the interval-valued hesitant fuzzy set and soft set models, the purpose of this paper is to introduce the concept of interval-valued hesitant fuzzy soft sets. Further, some operations on the interval-valued hesitant fuzzy soft sets are investigated, such as complement, “AND,” “OR,” ring sum, and ring product operations. Then, by means of reduct interval-valued fuzzy soft sets and level hesitant fuzzy soft sets, we present an adjustable approach to interval-valued hesitant fuzzy soft sets based on decision making and some numerical examples are provided to illustrate the developed approach. Finally, the weighted interval-valued hesitant fuzzy soft set is also introduced and its application in decision making problem is shown.
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Krishna Rao, M. Murali, та B. Venkateswarlu. "TRIPOLAR FUZZY SOFT IDEALS AND TRIPOLAR FUZZY SOFT INTERIOR IDEALS OVER Γ−SEMIRING". Facta Universitatis, Series: Mathematics and Informatics 35, № 1 (2020): 029. http://dx.doi.org/10.22190/fumi2001029k.

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In this paper, we have introduced the notion of tripolar fuzzy soft $\Gamma -$subsemi-ring,tripolar fuzzy soft ideal, tripolar fuzzy soft interior ideals over $\Gamma -$semiring and also studiedsome of their algebraic properties and the relations between them.
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N. Anitha and M. Latha. "On $\mathbb{S}$ fuzzy soft sub hemi rings of a hemi ring." Malaya Journal of Matematik 5, no. 03 (2017): 556–60. http://dx.doi.org/10.26637/mjm503/010.

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7

S., V. Manemaran, Nagarajan R., and Abdullah Saleem. "FUZZY VERSION OF SOFT UNION ACTION (SU-ACTION) ON NEAR-RING MODULE (N-MODULE) STRUCTURES." International Journal of Applied and Advanced Scientific Research 1, no. 1 (2016): 39–46. https://doi.org/10.5281/zenodo.159012.

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In this paper, we define a new concept, called soft union action (SU) on N- module structures on a fuzzy soft set. This new notions gathers fuzzy theory, soft set theory and near-ring modulo theory ( N-module theory ) together and it shows how a fuzzy soft set effects on N-module structure in the mean of union and inclusion of sets. We then obtain its basic properties with illustrative examples and derive some analog of classical N-module theoretic concepts for SU-action on N-module. Finally, we give the application of SU-actions on N-module theory.
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8

Kolanchinathan, S. "S-Norm Normal Fuzzy Soft Additive Near-Ring." International Journal for Research in Applied Science and Engineering Technology 7, no. 1 (2019): 719–21. http://dx.doi.org/10.22214/ijraset.2019.1111.

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9

Kadari, Ramalingaiah, and B. Surender Reddy. "Cubic Structure on Soft Gamma-m-Normed Linear Space." Indian Journal Of Science And Technology 17, no. 28 (2024): 2933–44. http://dx.doi.org/10.17485/ijst/v17i28.1713.

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Objectives: The purpose of this research is to take the lead in comprehending the fuzzy idea of cubic structure on soft Gamma-m normed linear space. According to the theory of Soft m-Normed Linear Space (SMNLS), we offer the conviction of Cauchy's sequence and convergence in cubic Soft Gamma-m Normed Linear Space (CSGMNLS). We have obtained certain results like the concept of completeness in CSGMNLS. Methods: In this paper we defined the soft gamma ring, soft gamma ideals and soft gamma vector space which are used to introduce the notion of soft gamma-2-normed linear space, Soft Gamma-m-Normed Linear Space (SGMNLS) and its properties. Also, the CSGMNLS can be analyzed by using the SGMNLS. Findings: In this research from CSGMNLS construct a norm function that satisfies the properties of SGMNLS, and additionally given that example with proof in which a sequence is cauchy sequence and convergence in SGMNLS if it is cauchy and convergence sequence in CSGMNLS. Also, provided theorem and its proof for completeness of a sequence in CSGMNLS. Novelty: Already gamma ring and fuzzy n-normed linear space has been defined. We introduced the concept of SGMNLS using this also initiated the CSGMNLS and some results obtained from its properties. We suggested a necessary conditions for completeness of a sequence in CSGMNLS. Keywords: Soft Gamma ring, Soft gamma vector space, Soft gamma normed linear space, Soft m-norm, Soft m-normed linear space, 2-Normed and m-normed right soft gamma linear space
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10

Ramalingaiah, Kadari, and Surender Reddy B. "Cubic Structure on Soft Gamma-m-Normed Linear Space." Indian Journal of Science and Technology 17, no. 28 (2024): 2933–44. https://doi.org/10.17485/IJST/v17i28.1713.

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Abstract <strong>Objectives:</strong>&nbsp;The purpose of this research is to take the lead in comprehending the fuzzy idea of cubic structure on soft Gamma-m normed linear space. According to the theory of Soft m-Normed Linear Space (SMNLS), we offer the conviction of Cauchy's sequence and convergence in cubic Soft Gamma-m Normed Linear Space (CSGMNLS). We have obtained certain results like the concept of completeness in CSGMNLS.<strong>&nbsp;Methods:</strong>&nbsp;In this paper we defined the soft gamma ring, soft gamma ideals and soft gamma vector space which are used to introduce the notion of soft gamma-2-normed linear space, Soft Gamma-m-Normed Linear Space (SGMNLS) and its properties. Also, the CSGMNLS can be analyzed by using the SGMNLS.&nbsp;<strong>Findings:</strong>&nbsp;In this research from CSGMNLS construct a norm function that satisfies the properties of SGMNLS, and additionally given that example with proof in which a sequence is cauchy sequence and convergence in SGMNLS if it is cauchy and convergence sequence in CSGMNLS. Also, provided theorem and its proof for completeness of a sequence in CSGMNLS.&nbsp;<strong>Novelty:</strong>&nbsp;Already gamma ring and fuzzy n-normed linear space has been defined. We introduced the concept of SGMNLS using this also initiated the CSGMNLS and some results obtained from its properties. We suggested a necessary conditions for completeness of a sequence in CSGMNLS. <strong>Keywords:</strong> Soft Gamma ring, Soft gamma vector space, Soft gamma normed linear space, Soft m-norm, Soft m-normed linear space, 2-Normed and m-normed right soft gamma linear space
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Book chapters on the topic "Fuzzy Soft Ring"

1

Majumdar, Pinaki. "Soft Sets." In Global Trends in Intelligent Computing Research and Development. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4936-1.ch016.

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This chapter is about soft sets. A brief account of the developments that took place in last 14 years in the field of Soft Sets Theory (SST) has been presented. It begins with a brief introduction on soft sets and then it describes many generalizations of it. The notions of generalized fuzzy soft sets are defined and their properties are studied. After that, a notion of mapping, called soft mapping, in soft set setting is introduced. Later, algebraic structures on soft sets like soft group, soft ring, etc. are discussed. Then the next section deals with the concept of topology on soft sets. Here two notions of topology in soft sets are introduced, which are the topology of soft subsets and the soft topology, respectively. The idea of entropy for soft sets is defined in the later section. Next, some applications of hybrid soft sets in solving real life problems like medical diagnosis, decision-making, etc. are shown. Issues like measurement of similarity of soft sets are also addressed.
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Conference papers on the topic "Fuzzy Soft Ring"

1

Li, Yongling. "Soft Congruence and Soft Fuzzy Congruence on Rings." In 2015 Seventh International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2015. http://dx.doi.org/10.1109/icmtma.2015.243.

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Chen, Jinwei, Shengnan Sun, Jingxuan Li, and Huisheng Zhang. "Study on the Effect and Fuzzy Compensation of Nonlinear Characteristics on SOFC-GT Fuel Supply System." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91929.

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Abstract Fuel supply system, the regulation system for fuel delivery to fuel cell, is one of the most important auxiliary systems in a solid oxide fuel cell-gas turbine hybrid system. It plays a significant role in the dynamic performance and safety. Commonly, the fuel supply system is always simplified as a linear system which means that the relationship between valve opening and fuel flow rate is linear. However, the servo actuator and metering valve have some nonlinear characteristics such as hysteresis, dead zone, relay, and saturation. These nonlinear characteristics can directly affect the dynamic performance of the hybrid system. In this paper, a 328kW SOFC-GT hybrid system was taken as a research object. Firstly, a fuel supply system model considering the nonlinear characteristic was combined with the hybrid system. Then, the effect of dead zone-relay characteristic of servo amplifier was analyzed. The results show that the dead zone width has a great effect on the dynamic performance of the hybrid system. When the dead zone width is too small, the fuel flow rate will be oscillating causing unstable of the electrical characteristics in SOFC. The hybrid system will be stable with the increase of dead zone width. However, the larger dead zone width causes the hysteresis and the increase of the dynamic response time. At an improvement method with a two-dimensional fuzzy compensation was proposed. The results show that the fuzzy compensation can solve the oscillation problem caused by the dead zone-delay effectively. Finally, a servo actuator experiment system is developed based on an electro-hydraulic servo actuator facility and a software component of fuzzy compensator. The test rig was conducted an experiment to validate the simulation result. The results show that the experiment results match well with the simulation results.
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Journal articles
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