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Journal articles on the topic 'Soft OR'

Author: Grafiati

Published: 21 February 2023

Last updated: 31 July 2025

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1

Jun, Young Bae, Seok Zun Song, and G. Muhiuddin. "Concave Soft Sets, Critical Soft Points, and Union-Soft Ideals of Ordered Semigroups." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/467968.

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The notions of union-soft semigroups, union-softl-ideals, and union-softr-ideals are introduced, and related properties are investigated. Characterizations of a union-soft semigroup, a union-softl-ideal, and a union-softr-ideal are provided. The concepts of union-soft products and union-soft semiprime soft sets are introduced, and their properties related to union-softl-ideals and union-softr-ideals are investigated. Using the notions of union-softl-ideals and union-softr-ideals, conditions for an ordered semigroup to be regular are considered. The concepts of concave soft sets and critical so

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2

Liu, Xiaoyan, Feng Feng, and Hui Zhang. "On Some Nonclassical Algebraic Properties of Interval-Valued Fuzzy Soft Sets." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/192957.

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Interval-valued fuzzy soft sets realize a hybrid soft computing model in a general framework. Both Molodtsov’s soft sets and interval-valued fuzzy sets can be seen as special cases of interval-valued fuzzy soft sets. In this study, we first compare four different types of interval-valued fuzzy soft subsets and reveal the relations among them. Then we concentrate on investigating some nonclassical algebraic properties of interval-valued fuzzy soft sets under the soft product operations. We show that some fundamental algebraic properties including the commutative and associative laws do not hold

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3

Jun, Young Bae, Sun Shin Ahn, and Kyoung Ja Lee. "Classes of Int-Soft Filters in Residuated Lattices." Scientific World Journal 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/595160.

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The notions of int-soft filters, int-softG-filters, regular int-soft filters, andMV-int-soft filters in residuated lattices are introduced, and their relations, properties, and characterizations are investigated. Conditions for an int-soft filter to be an int-softG-filter, a regular int-soft filter, or anMV-int-soft filter are provided. The extension property for an int-softG-filter is discussed. Finally, it is shown that the notion of anMV-int-soft filter coincides with the notion of a regular int-soft filter inBL-algebras.

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4

HITCHCOCK, A. P., C. MORIN, T. TYLISZCZAK, et al. "SOFT X-RAY MICROSCOPY OF SOFT MATTER — HARD INFORMATION FROM TWO SOFTS." Surface Review and Letters 09, no. 01 (2002): 193–201. http://dx.doi.org/10.1142/s0218625x02001781.

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Scanning transmission X-ray microscopy (STXM) and X-ray photoelectron emission microscopy (X-PEEM) provide quantitative chemical analysis at a spatial resolution well below 100 nm. Soft X-ray absorption or near edge X-ray absorption (NEXAFS) contrast provides sensitive differentiation of species which have similar elemental composition but are chemically distinct. Due to the ability of soft X-rays at wavelengths below the O K-edge to penetrate water, and on account of lower radiation damage, soft X-ray microscopy is an ideal tool for providing quantitative information about soft matter in the

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5

Han, Bianca-Oana. "How Soft is Teaching Translation Softs?" Acta Marisiensis. Philologia 3, no. 1 (2021): 1–6. http://dx.doi.org/10.2478/amph-2022-0049.

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Abstract Since technology has become an organic part of our lives, new skills are in order, and continuous updating is a must. The field of translation could not be left out of this evolution; therefore, the future translator needs to be trained to acquire new digital skills, in order to meet the market requirements. The paper focuses on the Course on translation software, freshly taught within the Master’s degree programme of Multimodal translation within our university.

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6

Tahat, Mohammad K., Fawzan Sidky, and M. Abo-Elhamayel. "Soft topological soft groups and soft rings." Soft Computing 22, no. 21 (2018): 7143–56. http://dx.doi.org/10.1007/s00500-018-3026-z.

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7

Gomathi, N., and T. Indira. "Contra Soft g**- Continuous Functions in Soft Topological Spaces." Indian Journal Of Science And Technology 16, no. 33 (2023): 2642–48. http://dx.doi.org/10.17485/ijst/v16i33.1487.

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8

Ghour, Samer Al. "Soft Minimal Soft Sets and Soft Prehomogeneity in Soft Topological Spaces." INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS 21, no. 3 (2021): 269–79. http://dx.doi.org/10.5391/ijfis.2021.21.3.269.

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9

R., M. Hassan, and A. Tantawy O. "Soft Real Analysis." Journal of Progressive Research in Mathematics 8, no. 1 (2016): 1207–19. https://doi.org/10.5281/zenodo.4028777.

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The Soft Real number is a parameterized collection real numbers. And by this relation, every properties of real numbers can be discussed in soft real numbers. In this paper, we introduce the operations on soft real numbers and define countable and uncountable soft real sets. Also, some concepts of real numbers such as( upper bound, lower bound, supermum and infimum) are introduced.

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10

Uchiyama, Masaru. "Soft Robotics. Soft Robotics." Journal of the Robotics Society of Japan 17, no. 6 (1999): 756–57. http://dx.doi.org/10.7210/jrsj.17.756.

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11

Homma, Keiko, and Tatsuo Arai. "Soft Robotics. Soft Supprot." Journal of the Robotics Society of Japan 17, no. 6 (1999): 774–77. http://dx.doi.org/10.7210/jrsj.17.774.

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12

Noritsugu, Toshiro. "Soft Robotics. Soft Actuator." Journal of the Robotics Society of Japan 17, no. 6 (1999): 795–98. http://dx.doi.org/10.7210/jrsj.17.795.

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13

Mousarezaei, R., and B. Davvaz. "Soft topological soft polygroups." Journal of Interdisciplinary Mathematics 27, no. 7 (2024): 1573–85. https://doi.org/10.47974/jim-1985.

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There are many uncertainties in the real world. Therefore, existence of some structures to support these uncertainties is necessary. To achieve this goal, soft sets are inserted into mathematical structures; in this regard, polygroups are equipped with variety of topologies and soft sets. In this article, firstly polygroups are combined with soft sets, then soft topological polygroups are introduced and a few examples have been examined.

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14

Heyes, D. M., S. M. Clarke, and A. C. Brańka. "Soft-sphere soft glasses." Journal of Chemical Physics 131, no. 20 (2009): 204506. http://dx.doi.org/10.1063/1.3266845.

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15

Nazmul, Sk, and Syamal Kumar Samanta. "Soft topological soft groups." Mathematical Sciences 6, no. 1 (2012): 66. http://dx.doi.org/10.1186/2251-7456-6-66.

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16

Ford, Christopher A. "Soft on “Soft Power”." SAIS Review of International Affairs 32, no. 1 (2012): 89–111. http://dx.doi.org/10.1353/sais.2012.0000.

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17

Zheng, Zhigang, Wei Hu, and Chenhui Peng. "Editorial for special issue on soft-matter photonics (soft mattonics)." Chinese Optics Letters 18, no. 8 (2020): 080001. http://dx.doi.org/10.3788/col202018.080001.

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18

Rasouli, S., and B. Davvaz. "An Investigation on Algebraic Structure of Soft Sets and Soft Filters over Residuated Lattices." ISRN Algebra 2014 (March 13, 2014): 1–8. http://dx.doi.org/10.1155/2014/635783.

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We introduce the notion of soft filters in residuated lattices and investigate their basic properties. We investigate relations between soft residuated lattices and soft filter residuated lattices. The restricted and extended intersection (union), ∨ and ∧-intersection, cartesian product, and restricted and extended difference of the family of soft filters residuated lattices are established. Also, we consider the set of all soft sets over a universe set U and the set of parameters P with respect to U, SoftP(U), and we study its structure.

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19

Ho Cheung SHUM, Anderson. "Editorial: Soft." Soft 02, no. 02 (2013): 7. http://dx.doi.org/10.4236/soft.2013.22002.

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20

Libera, M. "Spectroscopic Imaging of Soft-Soft and Hard-Soft Interfaces." Microscopy and Microanalysis 18, S2 (2012): 1598–99. http://dx.doi.org/10.1017/s1431927612009841.

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21

Ali, Muhammad Irfan. "Soft ideals and soft filters of soft ordered semigroups." Computers & Mathematics with Applications 62, no. 9 (2011): 3396–403. http://dx.doi.org/10.1016/j.camwa.2011.08.054.

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22

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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23

Min, Won Keun. "Some Results on Soft Contexts Induced by Soft Sets." Journal of Korean Institute of Intelligent Systems 29, no. 2 (2019): 148–52. http://dx.doi.org/10.5391/jkiis.2019.29.2.148.

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24

He, Qiguang, and Shengqiang Cai. "Soft pumps for soft robots." Science Robotics 6, no. 51 (2021): eabg6640. http://dx.doi.org/10.1126/scirobotics.abg6640.

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25

Yani, Yanyan Mochamad, and Elnovani Lusiana. "SOFT POWER DAN SOFT DIPLOMACY." Jurnal Tapis: Jurnal Teropong Aspirasi Politik Islam 14, no. 2 (2018): 48–65. http://dx.doi.org/10.24042/tps.v14i2.3165.

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Dalam perkembangannya hubungan internasional selalu memberikan tempat khusus bagi hadirnya tren diplomasi terkini. Pembahasan soft power, hard power dan smart power dari Nye dengan penekanan praktik America power, mengantarkan discourse tentang soft diplomacy di belahan dunia lainnya, Asia dan Eropa. Hal ini dapat menjadi sebuah penanda atau momentum bergesernya kecenderungan masyarakat internasional untuk optimalisasi upaya diplomasi sebagai pencegahan terhadap penyelesaian konflik internasional. Di dalam tulisan ini, peneliti menggunakan metode studi kasus untuk mengupas berbagai fenomena un

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26

Likos, Christos N. "Soft matter with soft particles." Soft Matter 2, no. 6 (2006): 478. http://dx.doi.org/10.1039/b601916c.

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27

Steyaert, Jan. "Soft Computing for Soft Technologies." Computers in Human Services 10, no. 4 (1994): 55–67. http://dx.doi.org/10.1300/j407v10n04_04.

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28

Ulucay, Vakkas, Ozge Oztekin, Mehmet Sahin, Necati Olgun, and Abdullah Kargin. "Soft representation of soft groups." New Trends in Mathematical Science 4, no. 2 (2016): 23. http://dx.doi.org/10.20852/ntmsci.2016217001.

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29

Dufresne, Jacques. "Soft opposition to soft domination." Technology in Society 20, no. 3 (1998): 327–34. http://dx.doi.org/10.1016/s0160-791x(98)00017-7.

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30

Acar, Ummahan, Fatih Koyuncu, and Bekir Tanay. "Soft sets and soft rings." Computers & Mathematics with Applications 59, no. 11 (2010): 3458–63. http://dx.doi.org/10.1016/j.camwa.2010.03.034.

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31

Aktaş, Hacı, and Naim Çağman. "Soft sets and soft groups." Information Sciences 177, no. 13 (2007): 2726–35. http://dx.doi.org/10.1016/j.ins.2006.12.008.

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32

Nayak, Satish, and L. Andrew Lyon. "Soft Nanotechnology with Soft Nanoparticles." Angewandte Chemie International Edition 44, no. 47 (2005): 7686–708. http://dx.doi.org/10.1002/anie.200501321.

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33

Sapan, Kenan, Burak Arslan, and Serdar Enginoğlu. "Soft Limit and Soft Continuity." AppliedMath 5, no. 2 (2025): 65. https://doi.org/10.3390/appliedmath5020065.

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This study presents the soft limit and upper (lower) soft limit proposed by Molodtsov, with several theoretical contributions. It investigates some of their basic properties, such as some fundamental soft limit rules, the relation between soft limit and boundedness, and the sandwich/squeeze theorem. Moreover, the paper proposes left and right soft limits and studies some of their main properties. Furthermore, it defines the soft limit at infinity and explores some of its basic properties. Additionally, the present study exemplifies these concepts and their properties to better understand them.

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34

Alshehri, N. O., M. Akram, and R. S. Al-ghamdi. "Applications of Soft Sets in -Algebras." Advances in Fuzzy Systems 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/319542.

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In 1999, Molodtsov introduced the concept of soft set theory as a general mathematical tool for dealing with uncertainty and vagueness. In this paper, we apply the concept of soft sets toK-algebras and investigate some properties of Abelian softK-algebras. We also introduce the concept of soft intersectionK-algebras and investigate some of their properties.

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35

H, Sivasankari, and Subhashini J. "Intuitionistic Fuzzy Binary Soft Sets and Its Properties." Indian Journal of Science and Technology 17, no. 35 (2024): 3636–42. https://doi.org/10.17485/IJST/v17i35.1161.

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Abstract <strong>Objective :</strong> The objective of Intuitionistic fuzzy binary soft sets is to extend the existing frameworks of binary soft sets and Intuitionistic fuzzy sets to accommodate both uncertainty and ambiguity in decision-making processes. This extension aims to provide a more flexible, representation of real-world data and phenomena, allowing for analysis and reasoning. Specifically, the objective involves defining the fundamental structures of Intuitionistic fuzzy binary soft sets over two initial universal sets, U1 and U2. <strong>Method:</strong> Reviewing th

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36

Zhu, Zhenguo. "Soft sets, soft BL-algebras and soft Logic System BL." Procedia Engineering 15 (2011): 3531–35. http://dx.doi.org/10.1016/j.proeng.2011.08.661.

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37

Rajendrakumar, T., S. Sagaya Roseline та M. Venkatesh. "On Soft 𝑔⋕𝑠 Continuous Maps and Soft 𝑔⋕𝑠 Irresolute Maps". Indian Journal Of Science And Technology 18, № 10 (2025): 763–71. https://doi.org/10.17485/ijst/v18i10.3652.

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Objectives: Soft topology has developed as a rapidly expanding area of research, offering a wide range of emerging applications and avenues for investigation. This study introduces and examines two novel concepts within this framework: soft 𝑔⋕𝑠 continuous maps and soft 𝑔⋕𝑠 irresolute maps. The paper provides a comprehensive investigation into these newly defined concepts, delving into their foundational properties and exploring their interrelationships. Through this analysis, the work seeks to enhance the understanding of these concepts and lay the groundwork for their application in broader t

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38

Sadowski, Przemysław, and Stanisław Stupkiewicz. "Friction in lubricated soft-on-hard, hard-on-soft and soft-on-soft sliding contacts." Tribology International 129 (January 2019): 246–56. http://dx.doi.org/10.1016/j.triboint.2018.08.025.

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39

Inthumathi, V., A. Gnanasoundari, and M. Maheswari. "Generalized Soft Multi Functions." Indian Journal Of Science And Technology 17, SPI1 (2024): 1–8. http://dx.doi.org/10.17485/ijst/v17sp1.208.

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Objectives: To acquaint generalized soft multi functions and graphs. Methods: Generalized semi soft multi sets was introduced using semi closure operators and open soft multi sets. As a consequence, this study acquaints generalized semi soft multi continuous functions with the help of generalized semi soft multi sets. Also the concept of generalized soft multi homeomorphisms are introduced via generalized semi soft multi continuous, open and closed mappings and also the thought of closed soft multi graph is introduced through the open soft multi sets and soft multi points. Findings: This study

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40

J. Munishi, Emmanuel. "Factors Contributing to Lack of Soft Skills among Tanzanian Higher Learning Graduates." March to April 2022 3, no. 2 (2022): 64–72. http://dx.doi.org/10.46606/eajess2022v03i02.0160.

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Despite the critical role played by soft skills in ensuring employability and career development among graduates, evidence suggests a huge lack of these skills among graduates in Tanzania. Against this backdrop, this paper explored factors contributing to lack of soft skills among higher learning graduates in the country and recommended effective strategies of ensuring acquisition of soft skills by the graduates. The paper critically reviewed documents related to factors contributing to lack of soft skills among the graduates in Tanzania. The study revealed that lack of soft skills among gradu

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41

Kalavathi, A., and G. Sai Sundara Krishnan. "Softg* closed and softg*open sets in soft topological spaces." Journal of Interdisciplinary Mathematics 19, no. 1 (2016): 65–82. http://dx.doi.org/10.1080/09720502.2015.1103110.

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42

F.H., Khedr, A. Abd Allah M., and S. Malfi M. "Fuzzy soft separation axioms in fuzzy soft topological spaces." Journal of Progressive Research in Mathematics 15, no. 2 (2019): 2668–81. https://doi.org/10.5281/zenodo.3996878.

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Fuzzy soft separation axioms was introduced by Mahanta and Das ([5]) using the definitions of a `fuzzy soft point' and `the complement of a fuzzy soft point is a fuzzy soft point', and `distinct of fuzzy soft points' in there sense.  In this paper we, introduce fuzzy soft separation axioms in terms of the modified definitions of a `fuzzy soft point', the complement of a fuzzy soft point is a fuzzy soft set' and `distinct of fuzzy soft points'([7]). Also, we study some of their properties. Finally, we discuss fuzzy soft topological property for such spaces. 

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43

Klein, Kevin. "Soft." Dialogue: A Journal of Mormon Thought 51, no. 2 (2018): 168–69. http://dx.doi.org/10.5406/dialjmormthou.51.2.0168.

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44

Rancourt, Suzanne. "Soft." Callaloo 17, no. 1 (1994): 131. http://dx.doi.org/10.2307/2932077.

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45

Henderson, Kim. "Soft." Missouri Review 42, no. 2 (2019): 64–82. http://dx.doi.org/10.1353/mis.2019.0019.

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46

Moumita Chiney and S. K. Samanta. "Soft differentiation in vector soft topology." ANNALS OF FUZZY MATHEMATICS AND INFORMATICS 14, no. 6 (2017): 527–36. http://dx.doi.org/10.30948/afmi.2017.14.6.527.

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47

Mahmood, Sabiha I., and Haider J. Ali. "Soft Np – Convergence of Soft Nets." Journal of Physics: Conference Series 2322, no. 1 (2022): 012045. http://dx.doi.org/10.1088/1742-6596/2322/1/012045.

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Abstract The purpose of this article is to present a new concept of soft convergence in soft topological spaces, namely, soft Np – convergence of soft nets by using the notion of soft Np – open sets. Also, we study several properties of Np – limit soft points and Np – cluster soft point of soft nets.

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48

Ferrer, Osmin, Arley Sierra, and José Sanabria. "Soft Frames in Soft Hilbert Spaces." Mathematics 9, no. 18 (2021): 2249. http://dx.doi.org/10.3390/math9182249.

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In this paper, we use soft linear operators to introduce the notion of discrete frames on soft Hilbert spaces, which extends the classical notion of frames on Hilbert spaces to the context of algebraic structures on soft sets. Among other results, we show that the frame operator associated to a soft discrete frame is bounded, self-adjoint, invertible and with a bounded inverse. Furthermore, we prove that every element in a soft Hilbert space satisfies the frame decomposition theorem. This theoretical framework is potentially applicable in signal processing because the frame coefficients serve

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49

Kar, S., and I. Dutta. "Soft ideals of soft ternary semigroups." Heliyon 7, no. 6 (2021): e07330. http://dx.doi.org/10.1016/j.heliyon.2021.e07330.

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50

Matejdes, Milan. "Soft homogeneity of soft topological sum." Soft Computing 25, no. 14 (2021): 8875–81. http://dx.doi.org/10.1007/s00500-021-05924-w.

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