Research article

Amply soft set and its topologies: AS and PAS topologies

  • Received: 14 November 2020 Accepted: 28 December 2020 Published: 13 January 2021
  • MSC : 54A10, 54A05, 03E72, 03E05, 03G25, 54A40, 54D10, 54D15

  • Do the topologies of each dimension have to be same of any space? I show that this is not necessary with amply soft topology produced by classical topologies. For example, an amply soft topology produced by classical topologies may have got any indiscrete topologies, discrete topologies or any topological spaces in each different dimension. The amply soft topology allows to write elements of different classical topologies in its each parameter sets. The classical topologies may be finite, infinite, countable or uncountable. This situation removes the boundary in soft topology and cause it to spread over larger areas. Amply soft topology produced by classical topologies is a special case of an amply soft topology. For this, I define a new soft topology it is called as an amply soft topology. I introduce amply soft open sets, amply soft closed sets, interior and closure of an amply soft set and subspace of any amply soft topological space. I gave parametric separation axioms which are different from Ti separation axioms. Ti questions the relationship between the elements of space itself while Pi questions the strength of the connection between their parameters. An amply soft topology is built on amply soft sets. Amply soft sets use any kind of universal parameter set or initial universe (such as finite or infinite, countable or uncountable). Also, subset, superset, equality, empty set, whole set on amply soft sets are defined. And operations such as union, intersection, difference of two amply soft sets and complement of an amply soft set are given. Then three different amply soft point such as amply soft whole point, amply soft point and monad point are defined. And also I give examples related taking a universal set as uncountable.

    Citation: Orhan Göçür. Amply soft set and its topologies: AS and PAS topologies[J]. AIMS Mathematics, 2021, 6(4): 3121-3141. doi: 10.3934/math.2021189

    Related Papers:

  • Do the topologies of each dimension have to be same of any space? I show that this is not necessary with amply soft topology produced by classical topologies. For example, an amply soft topology produced by classical topologies may have got any indiscrete topologies, discrete topologies or any topological spaces in each different dimension. The amply soft topology allows to write elements of different classical topologies in its each parameter sets. The classical topologies may be finite, infinite, countable or uncountable. This situation removes the boundary in soft topology and cause it to spread over larger areas. Amply soft topology produced by classical topologies is a special case of an amply soft topology. For this, I define a new soft topology it is called as an amply soft topology. I introduce amply soft open sets, amply soft closed sets, interior and closure of an amply soft set and subspace of any amply soft topological space. I gave parametric separation axioms which are different from Ti separation axioms. Ti questions the relationship between the elements of space itself while Pi questions the strength of the connection between their parameters. An amply soft topology is built on amply soft sets. Amply soft sets use any kind of universal parameter set or initial universe (such as finite or infinite, countable or uncountable). Also, subset, superset, equality, empty set, whole set on amply soft sets are defined. And operations such as union, intersection, difference of two amply soft sets and complement of an amply soft set are given. Then three different amply soft point such as amply soft whole point, amply soft point and monad point are defined. And also I give examples related taking a universal set as uncountable.


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    [1] B. Greene, Elegant universe superstrings, hidden dimensions, and the quest for the ultimate Theory, In: The Glitters of M Theory, 4 Eds., TÜBİTAK: Ankara, Turkey, 2011.
    [2] D. Molodtsov, Soft set theory first results, Comput. Math. Appl., 37 (1999), 19–31.
    [3] W. L. Gau, D. J. Buehrer, Vague sets, IEEE Trans. Syst. Man. Cybernet., 23 (1993), 610–614.
    [4] L. A. Zadeh, Fuzzy sets, Inf. Control, 8 (1965), 338–353.
    [5] K. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets Syst., 20 (1986), 87–96.
    [6] Z. Pawlak, Rough sets, Int. J. Comp. Inf. Sci., 11 (1982), 341–356.
    [7] M. B. Gorzalzany, A method of inference in approximate reasoning based on interval valued fuzzy sets, Fuzzy Sets Syst., 21 (1987), 1–17. doi: 10.1016/0165-0114(87)90148-5
    [8] Q. T. Bui, B. Vo, H. N. Do, N. Q. V. Hung, V. Snasel, F-mapper: A fuzzy mapper clustering algorithm, Knowl.-Based Syst., 189 (2020), 105107.
    [9] Q. T. Bui, B. Vo, V. Snasel, W. Pedrycz, M. Y. Chen, SFCM: A fuzzy clustering algorithm of extracting the shape information of data, IEEE Trans. Fuzzy Syst., 29 (2021), 75–89. doi: 10.1109/TFUZZ.2020.3014662
    [10] S. G. Quek, G. Selvachandran, F. Smarandache, J. Vimala, S. H. Le, Q. T. Bui, V. C. Gerogiannis, Entropy measures for plithogenic sets and applications in multi-attribute decision making, Mathematics, 8 (2020), 965. doi: 10.3390/math8060965
    [11] J. Zhan, J. C. R. Alcantud, A novel type of soft rough covering and its application to multicriteria group decision making, Artif. Intell. Rev., 52 (2019), 2381–2410. doi: 10.1007/s10462-018-9617-3
    [12] K. Zhang, J. M. Zhang, W. Z. Wu, J. C. A. Alcantud, Fuzzy β-covering based (I, T)-fuzzy rough set models and applications to multi-attribute decision-making, Comput. Indus. Eng., 128 (2019), 605–621.
    [13] J. C. R. Alcantud, V. Torra, Decomposition theorems and extension principles for hesitant fuzzy sets, Inf. Fusion, 41 (2018), 48–56. doi: 10.1016/j.inffus.2017.08.005
    [14] P. K. Maji, R. Biswas, R. Roy, Soft set theory, Comput. Math. Appl., 45 (2003), 555–562.
    [15] C. F. Yang, A note on "Soft Set Theory"[Comput. Math. Appl. 45 (4–5) (2003), 555–562], Comput. Math. Appl., 56 (2008), 1899–1900.
    [16] M. I. Ali, F. Feng, X. Liu, W. K. Min, M. Shabir, On some new operations in soft set theory, Comput. Math. Appl., 57 (2009), 1547–1553. doi: 10.1016/j.camwa.2008.11.009
    [17] A. Aygünoglu, H. Aygün, Some notes on soft topological spaces, Neural Comp. Appl., 21 (2012), 113–119. doi: 10.1007/s00521-011-0722-3
    [18] N. Çağman, Contributions to the theory of soft sets, J. New Results Sci., 4 (2014), 33–41.
    [19] N. Çağman, S. Enginoğlu, Soft set theory and uni-int decision making, Eur. J. Oper. Res., 207 (2010), 848–855. doi: 10.1016/j.ejor.2010.05.004
    [20] F. Feng, Y. B. Jun, X. Z. Zhao, Soft semirings, Comput. Math. Appl., 56 (2008), 2621–2628.
    [21] T. J. Neog, D. M. A. Sut, New approach to the theory of soft sets, Int. J. Comput. Appl., 32 (2011), 1–6.
    [22] D. Pei, D. Miao, From soft sets to information systems, IEEE International Conference on Granular Computing, 2005.
    [23] A. Sezgın, A. O. Atagün, On operations of soft sets, Comput. Math. Appl., 61 (2011), 1457–1467.
    [24] G. Şenel, A comparative research on the definition of soft point, Int. J. Comput. Appl., 163 (2017), 1–4.
    [25] P. Zhu, Q. Wen, Operations on soft sets revisited, J. Appl. Math., 2013 (2013), 693–731.
    [26] M. Shabir, M. Naz, On soft topological spaces, Comput. Math. Appl., 61 (2011), 1786–1799.
    [27] S. Das, S. K. Samanta, Soft real sets, soft real numbers and their properties, J. Fuzzy Math., 20 (2012), 551–576.
    [28] S. Das, S. K. Samanta; Soft metric, Ann. Fuzzy Math. Inform, 6 (2013), 77–94.
    [29] O. Göçür, Soft single point space and soft metrizable, Ann. Fuzzy Math. Inform, 13 (2017), 499–507. doi: 10.30948/afmi.2017.13.4.499
    [30] O. Göçür, Some new results on soft n-T4 spaces, Igdır Univ. J. Inst. Sci. Technol., 9 (2019), 1066–1072.
    [31] I. Zorlutuna, M. Akdağ, W. K. Min, S. Atmaca, Remarks on soft topological space, Ann. Fuzzy Math. Inform, 3 (2012), 171–185.
    [32] A. Fadel, N. Hassan, Separation axioms of bipolar soft topological space, J. Phys.: Conf. Ser., 1212 (2019), 012017. doi: 10.1088/1742-6596/1212/1/012017
    [33] L. Fu, X. Shi, Path connectedness over soft rough topological space, J. Adv. Math. Comput. Sci., 31 (2019), 1–10.
    [34] H. Kamacı, A. O. Atagün, E. Aygün, Difference operations of soft matrices with applications in decision making, Punjab Univ. J. Math., 51 (2019), 1–21.
    [35] S. A. Khandait, R. Bhardwaj, C. Singh, Fixed point result with soft cone metric space with examples, Math. Theory Model., 9 (2019), 62–79.
    [36] M. Riaz, N. Çağman, I. Zareef, M. Aslam, N-soft topology and its applications to multi-criteria group decision making, J. Intell. Fuzzy Syst., 36 (2019), 6521–6536. doi: 10.3233/JIFS-182919
    [37] M. Riaz, B. Davvaz, A. Firdous, A. Fakhar, Novel concepts of soft rough set topology with applications, J. Intell. Fuzzy Syst., 36 (2019), 3579–3590. doi: 10.3233/JIFS-181648
    [38] M. Riaz, S. T. Tehrim, Certain Properties of bipolar fuzzy soft topology via q-neighborhood, Punjab Univ. J. Math., 51 (2019), 113–131.
    [39] G. Murtaza, M. Abbas, M. I. Ali, Fixed points of interval valued neutrosophic soft mappings, Fac. Sci. Math. Univ. Nis Serb., 33 (2019), 463–474.
    [40] S. T. Tehrim, M. Riaz, A novel extension of TOPSIS to MCGDM with bipolar neutrosophic soft topology, J. Intell. Fuzzy Syst., 37 (2019), 5531–5549. doi: 10.3233/JIFS-190668
    [41] N. Çağman, S. Karataş, S. Enginoğlu, Soft topology, Comput. Math. Appl., 62 (2011), 351–358.
    [42] H. Kamacı, Selectivity analysis of parameters in soft set and its effect on decision making, H. Int. J. Mach. Learn. & Cyber., 11 (2020), 313–324.
    [43] H. Kamacı, Similarity measure for soft matrices and its applications, J. Intell. Fuzzy Syst., 36 (2019), 3061–3072. doi: 10.3233/JIFS-18339
    [44] F. Karaaslan, I. Deli, Soft neutrosophic classical sets and their applications in decision-making, Palest. J. Math., 9 (2020), 312–326.
    [45] F. Fatimah, D. Rosadi, R. B. F. Hakim, N-soft sets and decision making algorithms, Soft Comput., 22 (2018), 3829–3842. doi: 10.1007/s00500-017-2838-6
    [46] O. Göçür, Monad metrizable space, Mathematics, 8 (2020), 1891.
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